Board is transforming the way businesses anticipate and adapt to economic shifts with today’s announcement of Board Foresight and Board Signals.

Board Unveils New Foresight and Signals Products: Revolutionizing Business Planning with AI and Economic Intelligence | Business Wire

According to Foresight News, SunPump has announced an ecological partnership with Web3 community growth platform TaskOn. The collaboration aims to support the ongoing development of SunPump's Meme pro

SunPump Partners With TaskOn To Boost Web3 Community Growth | Binance News on Binance Square

Foresight

foresight

I have been thinking a lot about the state of strategic foresight and corporate futurism a lot recently, so I came up with a methodology that harkens back to using more imagination to leap beyond using data to inform and inspire. Reports that say that something hasn’t happened are always interesting to me, because as we know, there are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there are some things we do not know. But there are also unknown unknowns — the ones we don’t know we don’t know. And if one looks throughout the history of our country and other free countries, it is the latter category that tends to be the difficult ones. — Donald Rumsfeld, 2002 Strategic foresight as it stands today has become entrenched in and short term vision, it is very unlikely to uncover the ‘ ’ because it relies far too heavily on numbers and trend analysis — There are no statistical models or trend reports that can uncover these without diverse human input, so I decided to try to come up with a framework that allows for this. nowism unknown unknowns the result of which is that you are working with the and the already. known knowns known unknowns — Begin by identifying a desirable future or set of futures. This should be a visionary exercise, imagining an ideal scenario without being constrained by current limitations. This is perhaps the hardest part because we’ve been conditioned to believe that there is a current roadmap to possible futures, and they all look the same. Desirable Future Identification — Reflect on ‘lost futures’ or past visions of the future that were never realized. Understand why these futures did not materialize and what can be learned from them. What would the world have looked like if they did come true, and how would societal, technological, corporate, political, and economic landscapes have been shaped differently? You could incorporate the many different ‘punk’ genres here as well because of their cultural significance of the time, and also that still exists today. Hauntological Analysis — Bring in other deep-rooted cultural perspectives and biological/ biomimetic systems that reflect not only societal attitudes towards the future but also include the indigenous and the natural to integrate this into the next step ( ). This moves strategic foresight away from Western or capitalistic perspectives, which it has fallen foul of lately. Polyfuturism I wrote a blog about this recently (Sci-fi Prototyping) — Develop speculative narratives that bridge the gap between the hauntological analysis and polyfuturist inputs and the identified desirable futures. Past lessons, present knowledge, and future aspirations should inform these narratives and tell the story of what personal and corporate life is like living in this desired future. Speculative Narratives — Within these narratives, identify potential threats and challenges that could prevent the realization of the desirable future(s). This includes analyzing current trends and potential future risks. By integrating Sci-fi Prototyping in the previous step you’re also looking beyond data analysis which can become restrictive, data does not allow you to leap beyond logic or think about the ‘unknown unknowns’. Threatcasting - From the desirable future scenarios, work backward to map out the steps and milestones needed to achieve these futures. This should include corporate strategies to overcome identified threats and leverage opportunities, but these are not the sole goals. Backward Mapping Then, continuously revise and update the narratives, threat analysis, and backcasting steps based on new insights, technological advancements, and societal changes. This isn’t a hard and fast methodology, but one I believe starts to step away from using only data to inform a forecasting strategy and stops execs from listening to influencer trends as a signpost to where things are going. After all, we’ve seen that when the winds change, so too do the influencers you believed in before. Strategic foresight and futurism should be less concerned with running numbers and more about paying attention to the many systems all at work — both obvious and hidden. If you’re looking to develop a strategic foresight function in your organisation and not only want to understand how the world can change outside of trend analysis but also involve and teach employees and senior execs to think beyond what they already know, get in touch. Also published . here

A New Approach to Strategic Foresight and Corporate Futurism

How Edge & Node’s Rodrigo Coelho Is Reimagining the Web with The Graph Rodrigo Coelho is no stranger to building from scratch. From co-founding startups in the '90s to now leading Edge & Node—the core team behind The Graph—his path reflects a blend of entrepreneurship, technological foresight, and a deep-rooted belief in the decentralized future of the web. In this HackerNoon "Behind the Startup" interview, Rodrigo sits down with Ishan Pandey to reflect on his journey, The Graph's evolution, and how he envisions a future where Web3 is not just real—but inevitable. Rodrigo Coelho is no stranger to building from scratch. Ishan Pandey: Hi Rodrigo, it's a pleasure to welcome you to our "Behind the Startup" series. Your journey from co-founding tech startups in the late '90s to becoming the CEO of Edge & Node is quite remarkable. Could you share what inspired you to transition into the Web3 space and how your previous entrepreneurial experiences have shaped your vision for Edge & Node? Ishan Pandey: Rodrigo Coelho: I originally got interested in gold prior to the 2008 financial crisis, and had gone down the whole Fed and fiat currency rabbit hole. I started to get interested in Bitcoin around the 2010 Domino’s Pizza purchase. I had followed the industry and got more intrigued in 2016 after I moved to San Francisco and met more builders. But what made me take the full leap and transition into web3 was meeting Yaniv Tal at a coworking space in late 2017 when he was working on the pitch deck for The Graph. Rodrigo Coelho: I had been a serial entrepreneur, founding 3 other tech startups, so as a fellow founder I offered to help him on the deck or make introductions to investors. We developed a friendship and months later, I joined him as the first employee. My prior entrepreneurial experiences helped me because in my first role I was a jack of all trades from setting up the social channels, to handling the booth and the swag at hackathons, to setting up the accounting system, to handling people operations. I had done a bit of everything in my career. Being at the company from the very beginning allowed me to have very deep contextual knowledge, including having interviewed and onboarded everyone in the company, so once I stepped into the CEO role a few months ago, I was able to hit the ground running. I’d say the biggest energy I’ve brought is operating a sense of urgency and returning to an engineering culture and shipping mindset. Ishan Pandey: Edge & Node has been instrumental in developing The Graph, a decentralized protocol for indexing and querying blockchain data. With your recent appointment as CEO, what strategic initiatives are you prioritizing to enhance The Graph's capabilities and support its expanding ecosystem? Ishan Pandey: Rodrigo Coelho: The first step for me was to really look under the hood and  examine every corner of E&N with honesty and curiosity, and lay everything on the table. I wanted to create space for people to bring their boldest ideas and biggest visions forward. No more coloring inside the lines. I don’t want to build within the rules of imagination, I want to expand them. Rodrigo Coelho: That’s how we bring the best of the best to our users across the entire stack. What excites me most right now is the real traction we’re seeing in mainstream sectors: traditional finance, real world assets, and enterprise use cases. This is how we close the gap between Web2 and Web3. This is what signals we’re not building an alternative internet–we’re building the next internet. Ishan Pandey: The Graph has integrated with nearly 100 blockchains, which is a significant achievement. What challenges have you encountered in maintaining such extensive interoperability, and how do you plan to address them moving forward? Ishan Pandey: Rodrigo Coelho: Interoperability at this scale is no small feat. Each blockchain presents unique technical and governance complexities. In the past, our goal was to integrate with as many chains as possible—but we’ve since refocused our approach. Now, we're prioritizing quality over quantity, concentrating on the chains where developers are actively building and where there’s real excitement and momentum. This shift allows us to better allocate resources, deepen support, and ensure long-term sustainability for The Graph ecosystem. Moving forward, we’ll continue to streamline integration efforts while staying aligned with where real innovation is happening. Rodrigo Coelho: Ishan Pandey: Developer experience and community engagement are critical for the success of decentralized protocols. What specific programs or resources is Edge & Node implementing to empower developers within The Graph ecosystem? Ishan Pandey: Rodrigo Coelho: Since 2022, Edge & Node has operated the House of Web3 in San Francisco which has become a hub of activity in the crypto ecosystem. We host many in person events specific to developers such as — Intro to Full Stack dapp Development, The Graph Workshop: Quickstart to Subgraph Development & Querying, Substreams Demystified: A Practitioners Guide to High-Performance Blockchain Indexing, Lofi Hack, Artificial Intelligence Workshop with Semiotic Labs, Hackathon Warmup with BuidlGuidl, Sui Hackerhouse and Demo Day, San Francisco Ethereum Developers Meetup, and more… Rodrigo Coelho: In addition, our developer relations team hosts many online events including live ones on X and YouTube such as the ETHSF 2025 Opening Ceremony, Hard Crypto: Bridging Digital and Physical Worlds, BuildETH Patterns, Discussions on Crypto Accounting for Businesses, and more… Ishan Pandey: The Web3 landscape is rapidly evolving, with new trends and technologies emerging constantly. How is Edge & Node positioning itself to stay ahead of these developments, and what role do you envision The Graph playing in the future of decentralized applications? Ishan Pandey: Staying ahead isn’t just about reacting to trends, it’s about defining them. Staying ahead isn’t just about reacting to trends, it’s about defining them. Rodrigo Coelho: At Edge & Node, we’re builders at heart. We created Subgraphs and Graph Node, foundational pieces of the decentralized stack. This isn’t surface-level innovation. We’ve poured real heart, real sweat, and real code into bringing things into the world that didn’t exist before. We don’t copy and rebrand; we create. I see The Graph becoming synonymous with data itself. The world’s data will flow through The Graph in some form in a structured, queryable, and open way. And our goal is to make that flow as seamless as possible, with a user experience that’s as intuitive and powerful as a one-click interaction. That’s the future we’re building toward. Rodrigo Coelho: Ishan Pandey: Navigating the regulatory environment is a common challenge for blockchain-based projects. How does Edge & Node approach compliance while staying true to the principles of decentralization? Ishan Pandey: Rodrigo Coelho: We take compliance seriously and work with experienced counsel to understand and navigate global regulatory frameworks. At the same time, we remain committed to the ethos of decentralization—designing systems that don’t rely on centralized control. It's a delicate balance, but one we believe is achievable through transparency, decentralization by design, and community-led governance. Rodrigo Coelho: Ishan Pandey: Maintaining a cohesive organizational culture in a remote-first company can be challenging. What strategies are you employing to foster collaboration and innovation among your globally distributed team? Ishan Pandey: Rodrigo Coelho: We prioritize intentional communication, regular virtual gatherings, and async collaboration tools. But beyond that, we invest in rituals that celebrate wins, acknowledge contributions, and create a sense of belonging. We do offsites a few times a year between the Graph Foundation and Edge & Node, which gives us a chance to meet face-to-face, collaborate in person, and deepen the connections that drive our work. We also have a “Celebrating Wins” Slack channel where we hype each other up, along with channels for music, parenting, food, and more, little spaces that help foster a close-knit environment, even when our teammates are spread out across the world. Rodrigo Coelho: Ishan Pandey: Previously, you held the title of Chief Spirit Officer at Edge & Node. How did that role influence your leadership style, and are there aspects of that position you continue to incorporate as CEO? Ishan Pandey: Rodrigo Coelho: Being Chief Spirit Officer was about nurturing the soul of the organization, fostering creativity, purpose, and connection. As CEO, I still hold that spirit close. I lead with empathy, curiosity, and a belief that culture is a strategic advantage. That mindset influences everything from how we make decisions to how we support one another as teammates and humans. I also keep an open-door policy. No idea is a bad idea, and I’ve made sure the team knows that. I don’t want anyone to be afraid of failing. In fact, I believe in failing up. That’s how we grow, innovate, and ultimately do the work that changes everything. Rodrigo Coelho: Ishan Pandey: Looking ahead, where do you see Edge & Node and The Graph ecosystem in the next five to ten years? What legacy do you hope to build during your tenure as CEO? Ishan Pandey: Rodrigo Coelho: Our mission has always been to make web3 real, and now, we’re closer than ever. I envision The Graph as the backbone of the new internet, the invisible infrastructure powering every truly decentralized application. Not web2, not web3—just the web. The future. A world where users have ownership, data flows freely, and innovation isn’t bottlenecked by gatekeepers. At Edge & Node, we’re building more than technology, we’re building a movement. I want our legacy to be that we didn’t just talk about what’s possible, we made it inevitable. Rodrigo Coelho: Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYO Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYO Vested Interest Disclosure: Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYO business blogging program business blogging program

How Edge & Node’s Rodrigo Coelho Is Reimagining the Web with The Graph

Cómo Rodrigo Coelho de Edge & Node está reimaginando la Web con The Graph

Comment Rodrigo Coelho d'Edge & Node réinvente le Web avec The Graph

Kako Edge & Node Rodrigo Coelho ponovno zamišlja web s grafom

エッジ&ノードのロドリゴ・コーエルホがグラフでウェブを再構想する方法

«Қазақтелеком» АҚ-ның телекоммуникациялар желісін қуаты 1 млн. абонент Next Generation Network (NGN) технологиясына көшіру

Edge & Node의 Rodrigo Coelho가 The Graph로 웹을 다시 상상하는 방법

Hoe Edge & Node's Rodrigo Coelho het web opnieuw voorstelt met The Graph

څنګه د Edge & Node د Rodrigo Coelho سره The Graph د ویب راټول کوي

Sida loo yaabaa Rodrigo Coelho ee Edge & Node waxaa loo reimaynaa Web iyo The Graph

Si Rodrigo Coelho i Edge & Node po ri-imagjinon web-in me The Graph

Rodrigo Coelho, Edge & Node o‘z internetni reimaginingni o‘z.

Làm thế nào Rodrigo Coelho của Edge & Node đang tái tạo web với The Graph

This is a follow up to our previous discussion on sustainable development models This is a follow up to our previous discussion on sustainable development models our previous discussion on sustainable development models Personal Reflection On my way to Yap in the Federated States of Micronesia to pursue an ADB Renewable Energy Development Project, Disaster Risk Resilience (DRR) Consulting Services, I was blessed to have crossed paths with two of Hawaii's Honolulu based Web3 and Blockchain Community Founding Members. One of them is a Singaporean US citizen who is the Founder of Hawaii Blockchain Summit, and our discussions inspired this post, and I quote "Our People Is Our Only Resource". Moreover, I decided to write this Blog because I watched a press release whereby a prominent figure in the Media industry ridiculed the meeting for the bilingual approach instead of delivering content purely in Tongan language. I don't agree with his traditional approach. If we want to participate on the global scale, we need to adopt Lee Kuan Yew's bilingual policy. The Bilingual Foundation of Singapore's Success When examining Singapore's remarkable transformation from a struggling post colonial state to a global economic powerhouse, we often focus on its economic policies, governance structures, and strategic positioning. However, one of Lee Kuan Yew's most profound yet sometimes overlooked contributions was his implementation of a bilingual education policy that has fundamentally shaped Singapore's national identity and economic competitiveness. Lee Kuan Yew recognized early that language was not merely a communication tool but a strategic asset for national development. The bilingual policy, mandated in 1966 after Singapore gained independence, required all students to learn English as the primary language of instruction while simultaneously mastering their "mother tongue" i.e. Mandarin for the Chinese, Malay for Malays, and Tamil for Indians. This approach was disruptive for its time, especially in a post colonial context where many nations were abandoning colonial languages in favor of indigenous ones. What made this policy particularly visionary was its dual purpose: English would serve as the language of commerce, technology, and global engagement, while mother tongues would preserve cultural identity, values, and connections to ancestral heritage. As Lee himself described it, this was an attempt to give Singaporeans "the best of both worlds" i.e. Western capabilities and Eastern values. English would serve as the language of commerce, technology, and global engagement, while mother tongues would preserve cultural identity, values, and connections to ancestral heritage The Core Principles Behind the Bilingual Policy The Singaporean bilingual model was built on several core principles that remain relevant today: Pragmatic Multiculturalism: Rather than forcing assimilation or promoting one culture over others, Singapore embraced its diversity while creating a common framework that could unify different communities.
Economic Foresight: Lee recognized that English proficiency would be essential for international trade, scientific advancement, and attracting foreign investment, all crucial for a resource poor island nation.
Cultural Anchoring: Mother tongue education was seen as essential for transmitting cultural values and creating a sense of identity that could resist the potential negative impacts of westernization.
Social Cohesion: A common language (English) provided a platform for inter ethnic communication, while respect for each community's language reinforced the principle of equality among different ethnic groups.
Adaptability: While the policy's core principles remained consistent, its implementation evolved over time based on societal needs and challenges. Pragmatic Multiculturalism: Rather than forcing assimilation or promoting one culture over others, Singapore embraced its diversity while creating a common framework that could unify different communities. Pragmatic Multiculturalism Economic Foresight: Lee recognized that English proficiency would be essential for international trade, scientific advancement, and attracting foreign investment, all crucial for a resource poor island nation. Economic Foresight Cultural Anchoring: Mother tongue education was seen as essential for transmitting cultural values and creating a sense of identity that could resist the potential negative impacts of westernization. Cultural Anchoring Social Cohesion: A common language (English) provided a platform for inter ethnic communication, while respect for each community's language reinforced the principle of equality among different ethnic groups. Social Cohesion Adaptability: While the policy's core principles remained consistent, its implementation evolved over time based on societal needs and challenges. Adaptability Lessons for Small Island Developing States For smaller island nations, particularly those in the Pacific, Caribbean, and Indian Ocean, Singapore's language policy offers valuable lessons that can be adapted to local contexts: 1. Language as an Economic Bridge Small island developing states (SIDS) face unique economic challenges including limited domestic markets, geographic isolation, and vulnerability to external shocks. Like Singapore, these nations must find ways to integrate with the global economy despite their size limitations. A strategic bilingual approach can create economic opportunities by: Facilitating business connections with major economic partners
Enabling participation in global value chains
Enhancing tourism offerings through multilingual capabilities
Creating competitive advantages in niche service sectors like international education, translation, or cultural industries Facilitating business connections with major economic partners Enabling participation in global value chains Enhancing tourism offerings through multilingual capabilities Creating competitive advantages in niche service sectors like international education, translation, or cultural industries 2. Preserving Cultural Heritage Through Language Many SIDS face cultural erosion due to globalization, migration, and demographic changes. Traditional languages often face extinction as younger generations adopt dominant global languages. Singapore's model demonstrates how a carefully crafted language policy can preserve cultural identity while embracing modernization. Small island nations can implement similar approaches by: Documenting and digitizing endangered languages
Incorporating local languages into formal education alongside global languages
Using modern technology for language preservation and teaching
Creating media content in local languages to enhance their relevance and appeal Documenting and digitizing endangered languages Incorporating local languages into formal education alongside global languages Using modern technology for language preservation and teaching Creating media content in local languages to enhance their relevance and appeal 3. Building Social Cohesion Like Singapore, many small island states encompass diverse communities with different linguistic and cultural backgrounds. A well designed language policy can promote unity while respecting diversity. Approaches might include: Identifying common linguistic elements that can serve as a foundation for national identity
Creating opportunities for language exchange between different communities
Developing inclusive national narratives that incorporate multiple linguistic traditions
Using education systems to foster mutual respect for different languages Identifying common linguistic elements that can serve as a foundation for national identity Creating opportunities for language exchange between different communities Developing inclusive national narratives that incorporate multiple linguistic traditions Using education systems to foster mutual respect for different languages 4. Enhancing Resilience Through Connectivity In today's interconnected world, linguistic capabilities are essential for accessing knowledge, forming partnerships, and finding solutions to challenges. For SIDS facing existential threats like climate change, being able to engage effectively with international partners is crucial. Bilingual capabilities enable: More effective representation in international forums
Access to global knowledge networks and educational resources
Formation of regional alliances with linguistic neighbors
Participation in global scientific collaborations More effective representation in international forums Access to global knowledge networks and educational resources Formation of regional alliances with linguistic neighbors Participation in global scientific collaborations Implementing a Tailored Bilingual Approach Each small island nation has unique linguistic landscapes and historical contexts that must inform their language policies. However, the following framework, inspired by Singapore's approach, could guide implementation: Assessment Phase Document existing language usage patterns and proficiency levels
Identify key languages of economic or strategic importance
Evaluate current education system capabilities
Consult with communities about language priorities and concerns Document existing language usage patterns and proficiency levels Identify key languages of economic or strategic importance Evaluate current education system capabilities Consult with communities about language priorities and concerns Policy Design Establish clear language learning objectives for different education levels
Determine balance between local and international languages
Create linkages between language education and economic development goals
Develop approaches for adult language education and community involvement Establish clear language learning objectives for different education levels Determine balance between local and international languages Create linkages between language education and economic development goals Develop approaches for adult language education and community involvement Implementation Strategies Invest in teacher training for language instruction
Develop appropriate teaching materials that reflect local contexts
Create language immersion opportunities through community partnerships
Use technology to expand access to language learning resources Invest in teacher training for language instruction Develop appropriate teaching materials that reflect local contexts Create language immersion opportunities through community partnerships Use technology to expand access to language learning resources Monitoring and Adaptation Regularly assess language proficiency outcomes
Gather feedback from various stakeholders
Make adjustments based on emerging economic and social trends
Celebrate and publicize language learning successes Regularly assess language proficiency outcomes Gather feedback from various stakeholders Make adjustments based on emerging economic and social trends Celebrate and publicize language learning successes Case Studies: Potential Applications Pacific Island Nations Pacific island nations could implement a modified bilingual approach that combines English (for global connectivity) with strategic investments in indigenous language preservation. Countries like Fiji, with its English-Fijian-Hindi trilingual environment, could formalize a system that builds on existing multilingual practices while ensuring all three languages receive adequate support in education and public life. Tongan Trilingual Model (English-Tongan-Chinese) Tonga represents a particularly interesting case where a trilingual approach incorporating English, Tongan, and Chinese could create distinctive advantages. With China's growing economic influence in the Pacific region, Tongan citizens equipped with Chinese language skills would be uniquely positioned for economic opportunities. The Kingdom of Tonga could develop a language education framework that: Preserves Tongan as the foundation of cultural identity - ensuring robust curriculum development in Tongan language and literature from early childhood through higher education.


Strengthens English proficiency for global engagement - building on existing English education to enhance opportunities in international education, tourism, and diplomatic relations.


Introduces strategic Chinese language education - developing targeted Chinese language programs that focus on practical business, tourism, and diplomatic applications. Preserves Tongan as the foundation of cultural identity - ensuring robust curriculum development in Tongan language and literature from early childhood through higher education. Preserves Tongan as the foundation of cultural identity - ensuring robust curriculum development in Tongan language and literature from early childhood through higher education. Preserves Tongan as the foundation of cultural identity Strengthens English proficiency for global engagement - building on existing English education to enhance opportunities in international education, tourism, and diplomatic relations. Strengthens English proficiency for global engagement - building on existing English education to enhance opportunities in international education, tourism, and diplomatic relations. Strengthens English proficiency for global engagement Introduces strategic Chinese language education - developing targeted Chinese language programs that focus on practical business, tourism, and diplomatic applications. Introduces strategic Chinese language education - developing targeted Chinese language programs that focus on practical business, tourism, and diplomatic applications. Introduces strategic Chinese language education This trilingual approach would position Tonga at the intersection of Western and Eastern economic spheres while maintaining strong cultural foundations. It would also acknowledge the geopolitical realities of the Pacific region, where both traditional Western partners and China represent important economic relationships. Educational institutions, media outlets, and government communications could operate across these three languages, with different contexts emphasizing different language combinations as appropriate. Challenges and Considerations Implementing a bilingual policy in small island contexts comes with unique challenges: Resource Constraints: Limited budgets for education make ambitious language policies difficult to implement fully.
Teacher Availability: Finding qualified language teachers, especially for less commonly taught languages, is a persistent challenge.
Linguistic Complexity: Many island nations have complex language situations with multiple dialects and minority languages.
Digital Divide: Technology can aid language learning but may be unevenly accessible in island settings.
Migration Effects: Outward migration may undermine local language vitality while creating diaspora communities that could support language maintenance. Resource Constraints: Limited budgets for education make ambitious language policies difficult to implement fully. Resource Constraints Teacher Availability: Finding qualified language teachers, especially for less commonly taught languages, is a persistent challenge. Teacher Availability Linguistic Complexity: Many island nations have complex language situations with multiple dialects and minority languages. Linguistic Complexity Digital Divide: Technology can aid language learning but may be unevenly accessible in island settings. Digital Divide Migration Effects: Outward migration may undermine local language vitality while creating diaspora communities that could support language maintenance. Migration Effects Conclusion: Language as a Development Catalyst Singapore's bilingual policy demonstrates how strategic language planning can serve as a catalyst for national development. For small island nations seeking sustainable development pathways, this approach offers valuable lessons that can be adapted to local contexts. As Lee Kuan Yew's vision shows, the most successful language policies don't force communities to choose between tradition and modernity or between local identity and global connectivity. Instead, they create frameworks where multiple languages can coexist and complement each other, providing citizens with the tools to navigate both local and global contexts effectively. By learning from Singapore's experience while adapting it to their unique circumstances, small island developing states can transform linguistic diversity from a potential challenge into a powerful asset for education, economic development, and national cohesion. In this way, they can create their own versions of what Lee Kuan Yew described as "the best of both worlds" by maintaining cultural roots while reaching outward to engage with global opportunities. A Personal Commitment This is why I spend time translating my content from English to Tongan to adhere with my stance on adoption of a bilingual policy. I believe we must practice what we preach i.e. embracing both global connectivity through English and preserving our cultural heritage through our native languages.

This Island Nation Wants to Use Language, Not Just Tech, to Fight Climate and Economic Collapse

As companies navigate an increasingly volatile business environment, risk management has become a critical focus area. From cybersecurity threats and regulatory pressure to supply chain instability and reputational concerns, organizations today face a wide array of challenges that require more than reactive defenses. Traditional solutions often fall short, providing fragmented oversight and limited ability to anticipate problems before they escalate. In response to these shortcomings, Silicon Valley-based startup Portend AI is working to reimagine how organizations assess and respond to risk. Founded by industry veteran Shabd Vaid, Portend AI offers a dual-platform system designed to provide continuous, AI-powered insight into both internal and external risks. Combining machine learning, predictive analytics, and real-time monitoring, the company aims to help businesses not just detect risks, but also forecast and mitigate them proactively. The two core applications – Business Risk Management and Portfolio Risk Intelligence – serve different but complementary functions, with one focused on internal operations and the other on third-party and market-facing risk**.** The Business Risk Management platform provides organizations with a centralized, AI-driven engine for monitoring risk across various domains. The system is designed to offer real-time assessment of critical operational areas such as cybersecurity, system performance, compliance, and brand reputation. Within cybersecurity, Portend AI helps identify vulnerabilities and detect emerging threats before they materialize into breaches. It also monitors system uptime and performance, aiming to prevent operational disruptions that can lead to revenue loss and service degradation. Beyond technical infrastructure, the platform addresses softer but equally important areas like reputation management. It analyzes customer reviews, employee sentiment, and social media conversations to flag potential issues that could harm brand perception. Compliance and regulatory exposure are also evaluated, with built-in tools to assess adherence to frameworks such as SOC 2, GDPR, CCPA, and HIPAA. Additionally, the platform includes tools to assess risks from supply chain partners and third-party vendors, taking into account geopolitical factors and operational dependencies. The Business Risk Management solution is equipped with features such as automated alerts, customizable dashboards, and audit-ready compliance tracking. These tools are intended to help stakeholders monitor the evolving risk landscape and make informed decisions more quickly. According to John Lindsay, CEO of payroll platform Bitwage, Portend AI has had a measurable impact on their operations: “Portend AI has been a game-changer for Bitwage. It helps us proactively detect cybersecurity threats, streamline compliance, and protect our brand reputation. As digital threats continue to evolve, solutions like Portend AI are essential for businesses to stay secure and competitive.” While the Business Risk Management application is designed for internal oversight, the Portfolio Risk Intelligence platform focuses on external risks associated with third parties, partners, acquisitions, or vendors. This platform is particularly relevant for investors, insurers, and financial institutions that require comprehensive intelligence on organizations outside their immediate control. It evaluates key dimensions such as financial stability – assessing liquidity, credit ratings, and financial history – and cybersecurity posture, identifying data breaches, vulnerabilities, and security gaps in third-party systems. The platform also tracks reputation and public sentiment by monitoring news sources and social media to identify potential PR risks. Legal and regulatory risk is another area of focus, with the system flagging known compliance violations and ongoing legal disputes. To provide a more complete picture, the platform monitors operational resilience factors such as supply chain disruptions, workforce changes, and geopolitical developments. Portend AI’s Portfolio Risk Intelligence delivers these insights through real-time risk scores, historical data, and predictive analytics, all accessible through a unified interface. It also offers API integration, allowing businesses to embed risk data directly into their existing workflows. This integration supports automated decision-making and continuous monitoring across portfolios. Jeff Leroux, CEO of SAMaiA.ai, notes the practical value of this functionality: “Portend AI’s signal-rich data is crucial for our business. Risk intelligence from Portend AI feeds our AI engine, helping us formulate winning strategies for our customer’s Sales and Marketing teams.” As risk management becomes more and more central to operational resilience, platforms like Portend AI are gaining traction among organizations seeking more agile and forward-looking approaches. In the U.S. economy – where business continuity, investor confidence, and regulatory trust are closely tied to the ability to anticipate and withstand disruption – tools that provide timely and reliable risk intelligence are becoming essential. Portend AI’s platform, by offering real-time visibility, predictive analytics, and automated reporting, aims to help reduce losses stemming from cyberattacks, non-compliance, or reputational harm. These capabilities can contribute not only to risk mitigation but also to long-term competitiveness by minimizing blind spots and supporting data-informed strategic planning. As market conditions grow increasingly unpredictable, risk intelligence is shifting from a specialized function to a foundational business requirement. The broader approach taken by Portend AI reflects a growing trend toward proactive, intelligence-based risk management. The company’s emphasis on AI-driven modeling, real-time alerts, and customizable insights signals a departure from legacy systems that rely heavily on static reports or backward-looking analysis. Portend AI’s platform is also designed to scale across organizations of various sizes, offering both small businesses and large enterprises tools to manage risk based on their specific operational complexity and strategic priorities. What distinguishes Portend AI is not just the scope of its risk coverage – from cybersecurity and compliance to brand and third-party threats – but also its ability to connect these elements within a single, adaptive system. While other platforms may specialize in niche risk categories, Portend AI aims to offer a more integrated solution, helping organizations not only react to issues but also anticipate and prevent them. As companies continue to contend with unpredictable disruptions, the demand for tools that offer real-time intelligence and predictive modeling is likely to grow. Portend AI is positioning itself at the intersection of risk mitigation and strategic foresight, with the goal of helping businesses navigate uncertainty more effectively. For many organizations, the difference between reacting to risk and getting ahead of it may increasingly depend on systems like the ones Portend AI is developing. Company Website: https://portend.ai Founder/CEO: Shabd Vaid Product photos This article is published under HackerNoon’s Business Blogging program. Learn more about the program here. As companies navigate an increasingly volatile business environment, risk management has become a critical focus area. From cybersecurity threats and regulatory pressure to supply chain instability and reputational concerns, organizations today face a wide array of challenges that require more than reactive defenses. Traditional solutions often fall short, providing fragmented oversight and limited ability to anticipate problems before they escalate. In response to these shortcomings, Silicon Valley-based startup Portend AI is working to reimagine how organizations assess and respond to risk. Founded by industry veteran Shabd Vaid, Portend AI offers a dual-platform system designed to provide continuous, AI-powered insight into both internal and external risks. Combining machine learning, predictive analytics, and real-time monitoring, the company aims to help businesses not just detect risks, but also forecast and mitigate them proactively. The two core applications – Business Risk Management and Portfolio Risk Intelligence – serve different but complementary functions, with one focused on internal operations and the other on third-party and market-facing risk**.** The Business Risk Management platform provides organizations with a centralized, AI-driven engine for monitoring risk across various domains. The system is designed to offer real-time assessment of critical operational areas such as cybersecurity, system performance, compliance, and brand reputation. Within cybersecurity, Portend AI helps identify vulnerabilities and detect emerging threats before they materialize into breaches. It also monitors system uptime and performance, aiming to prevent operational disruptions that can lead to revenue loss and service degradation. Beyond technical infrastructure, the platform addresses softer but equally important areas like reputation management. It analyzes customer reviews, employee sentiment, and social media conversations to flag potential issues that could harm brand perception. Compliance and regulatory exposure are also evaluated, with built-in tools to assess adherence to frameworks such as SOC 2, GDPR, CCPA, and HIPAA. Additionally, the platform includes tools to assess risks from supply chain partners and third-party vendors, taking into account geopolitical factors and operational dependencies. The Business Risk Management solution is equipped with features such as automated alerts, customizable dashboards, and audit-ready compliance tracking. These tools are intended to help stakeholders monitor the evolving risk landscape and make informed decisions more quickly. According to John Lindsay, CEO of payroll platform Bitwage, Portend AI has had a measurable impact on their operations: “Portend AI has been a game-changer for Bitwage. It helps us proactively detect cybersecurity threats, streamline compliance, and protect our brand reputation. As digital threats continue to evolve, solutions like Portend AI are essential for businesses to stay secure and competitive.” “Portend AI has been a game-changer for Bitwage. It helps us proactively detect cybersecurity threats, streamline compliance, and protect our brand reputation. As digital threats continue to evolve, solutions like Portend AI are essential for businesses to stay secure and competitive.” While the Business Risk Management application is designed for internal oversight, the Portfolio Risk Intelligence platform focuses on external risks associated with third parties, partners, acquisitions, or vendors. This platform is particularly relevant for investors, insurers, and financial institutions that require comprehensive intelligence on organizations outside their immediate control. It evaluates key dimensions such as financial stability – assessing liquidity, credit ratings, and financial history – and cybersecurity posture, identifying data breaches, vulnerabilities, and security gaps in third-party systems. The platform also tracks reputation and public sentiment by monitoring news sources and social media to identify potential PR risks. Legal and regulatory risk is another area of focus, with the system flagging known compliance violations and ongoing legal disputes. To provide a more complete picture, the platform monitors operational resilience factors such as supply chain disruptions, workforce changes, and geopolitical developments. Portend AI’s Portfolio Risk Intelligence delivers these insights through real-time risk scores, historical data, and predictive analytics, all accessible through a unified interface. It also offers API integration, allowing businesses to embed risk data directly into their existing workflows. This integration supports automated decision-making and continuous monitoring across portfolios. Jeff Leroux, CEO of SAMaiA. ai , notes the practical value of this functionality: “Portend AI’s signal-rich data is crucial for our business. Risk intelligence from Portend AI feeds our AI engine, helping us formulate winning strategies for our customer’s Sales and Marketing teams.” ai “Portend AI’s signal-rich data is crucial for our business. Risk intelligence from Portend AI feeds our AI engine, helping us formulate winning strategies for our customer’s Sales and Marketing teams.” As risk management becomes more and more central to operational resilience, platforms like Portend AI are gaining traction among organizations seeking more agile and forward-looking approaches. In the U.S. economy – where business continuity, investor confidence, and regulatory trust are closely tied to the ability to anticipate and withstand disruption – tools that provide timely and reliable risk intelligence are becoming essential. Portend AI’s platform, by offering real-time visibility, predictive analytics, and automated reporting, aims to help reduce losses stemming from cyberattacks, non-compliance, or reputational harm. These capabilities can contribute not only to risk mitigation but also to long-term competitiveness by minimizing blind spots and supporting data-informed strategic planning. As market conditions grow increasingly unpredictable, risk intelligence is shifting from a specialized function to a foundational business requirement. The broader approach taken by Portend AI reflects a growing trend toward proactive, intelligence-based risk management. The company’s emphasis on AI-driven modeling, real-time alerts, and customizable insights signals a departure from legacy systems that rely heavily on static reports or backward-looking analysis. Portend AI’s platform is also designed to scale across organizations of various sizes, offering both small businesses and large enterprises tools to manage risk based on their specific operational complexity and strategic priorities. What distinguishes Portend AI is not just the scope of its risk coverage – from cybersecurity and compliance to brand and third-party threats – but also its ability to connect these elements within a single, adaptive system. While other platforms may specialize in niche risk categories, Portend AI aims to offer a more integrated solution, helping organizations not only react to issues but also anticipate and prevent them. As companies continue to contend with unpredictable disruptions, the demand for tools that offer real-time intelligence and predictive modeling is likely to grow. Portend AI is positioning itself at the intersection of risk mitigation and strategic foresight, with the goal of helping businesses navigate uncertainty more effectively. For many organizations, the difference between reacting to risk and getting ahead of it may increasingly depend on systems like the ones Portend AI is developing. Company Website : https://portend.ai Company Website https://portend.ai Founder/CEO : Shabd Vaid Founder/CEO Product photos This article is published under HackerNoon’s Business Blogging program. Learn more about the program here. This article is published under HackerNoon’s Business Blogging program. Learn more about the program here . here here

Exploring How Portend AI is Revolutionizing Risk Management

Explorar cómo Portend AI está revolucionando la gestión de riesgos

לחקור כיצד Portend AI מהפכה את ניהול הסיכונים

Istraživanje o tome kako Portend AI revolucioniše upravljanje rizicima

Portend AI がリスク管理に革命をもたらす仕組みを探る

Portend AI가 위험 관리를 혁신하는 방식 살펴보기

Pamba la Pamba la Pamba la Pamba la 100%

Portend AI эрсдэлийн менежментийг хэрхэн өөрчилж байгааг судлах

د پورټینډ AI د خطر مدیریت کې انقلاب راوستلو څرنګوالی سپړنه

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การสํารวจวิธีที่ Portend AI มีการปฏิวัติการจัดการความเสี่ยง

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Ukuphonononga ukuba iPortend AI iluguqula njani uLawulo loMngcipheko

In an era where financial technology demands unprecedented levels of security, scalability, and efficiency, Padma Naresh Vardhineedi's groundbreaking work in financial planning solutions stands as a testament to architectural excellence and innovative leadership. Through his role as a distinguished software architect, Vardhineedi has transformed how financial advisors create and manage client financial plans, setting new standards for enterprise-grade cloud solutions in the finance sector. His visionary approach to cloud architecture and unwavering commitment to technical excellence has redefined what's possible in financial technology infrastructure. At the heart of this achievement lies a sophisticated AWS-based architecture that redefined the possibilities of financial planning technology. Under Padma's leadership, the project emerged as a comprehensive solution that not only met but exceeded modern financial institutions' demanding requirements for security, performance, and reliability. The architecture's design demonstrated exceptional foresight, incorporating cutting-edge cloud services while maintaining the flexibility needed for future scaling and enhancement. The implementation showcased Padma's exceptional ability to architect complex systems, particularly in his innovative approach to security architecture. By implementing Lambda authorizers at the API Gateway level, he introduced a revolutionary authentication mechanism that enhanced security while significantly improving system performance. This architectural decision led to a remarkable 30% reduction in processing overhead, demonstrating how thoughtful design can simultaneously enhance both security and efficiency. The implementation of Lambda authorizers proved particularly innovative, as it eliminated redundant authentication logic within microservices while maintaining robust security standards across the entire application ecosystem. The project's technical sophistication extended deep into its data processing capabilities. Padma's expertise in data engineering and infrastructure automation proved transformative for the financial planning workflow. Through carefully designed AWS Glue jobs, he achieved a 40% reduction in overnight data processing time – a critical improvement that provided financial advisors with earlier access to updated client insights and market data. This optimization fundamentally changed how advisors could serve their clients, enabling more responsive and data-driven financial planning services. The data processing pipeline's design showcased particular innovation in its use of NoSQL databases, specifically Amazon DocumentDB and DynamoDB, which provided the perfect balance of flexibility and performance for handling complex financial data structures. Infrastructure automation emerged as another cornerstone of the project's success. Through sophisticated infrastructure as code (IaC) implementation using Terraform, Padma established a framework for sustainable growth and cost optimization. This approach resulted in approximately 25% savings in cloud resource costs while simultaneously improving the platform's scalability and reliability. The Terraform scripts developed under his leadership became a model for infrastructure automation, demonstrating how modern DevOps practices can be effectively applied to financial technology solutions. The automation framework not only reduced operational overhead but also ensured consistent deployment across different environments, significantly reducing the risk of configuration-related issues. The high-availability architecture designed by Padma showcased exceptional attention to fault tolerance and disaster recovery. By leveraging AWS's global infrastructure and implementing sophisticated failover mechanisms, the solution achieved remarkable uptime statistics while maintaining data integrity and security. The architecture's design particularly excelled in its approach to data replication and backup strategies, ensuring business continuity even in challenging scenarios. Stakeholder impact was significant across multiple dimensions. Financial advisors gained access to a more efficient, reliable platform that accelerated their workflow, enabling them to serve more clients more effectively. Organizations benefited from reduced operational costs and improved scalability, while maintaining compliance with stringent financial industry regulations. Most importantly, end clients received better service through faster, more secure access to their financial planning data, with improved visualization and analysis capabilities enhancing their understanding of their financial position. The project's success in integrating complex technologies while maintaining simplicity in operation demonstrated Padma's exceptional architectural vision. His approach to system design balanced immediate needs with future scalability, ensuring the solution could evolve alongside changing business requirements. The architecture's modular design particularly stood out, allowing for easy integration of new features and capabilities without disrupting existing functionality. As a distinguished software architect and technology leader, Padma Naresh Vardhineedi continues to shape the future of digital transformation in the financial sector. His expertise in cloud computing, AI-driven software engineering, and enterprise architecture has proven instrumental in delivering solutions that not only meet current needs but anticipate future challenges. This project stands as a testament to his ability to leverage cutting-edge technology to create lasting business impact, while maintaining the highest standards of security and performance. The security architecture designed by Padma deserves particular mention for its innovative approach to authentication and authorization. By implementing Lambda authorizers at the gateway level, he created a more efficient and maintainable security model that significantly reduced the complexity of service-level security implementations. This approach not only improved system performance but also enhanced the overall security posture of the application, making it more resistant to modern cyber threats. Looking ahead, the implications of this architectural innovation extend far beyond the immediate project success. As financial institutions increasingly embrace digital transformation, the patterns and practices established by Padma serve as a blueprint for future implementations. His work demonstrates how thoughtful architecture and technical leadership can drive meaningful change in how financial services are delivered and managed. The scalability built into the system's design ensures it can accommodate growing data volumes and user bases while maintaining optimal performance. The success of this financial planning solution project has further cemented Vardhineedi's position as a leading voice in software architecture and cloud innovation. His contributions to the field serve as a model for how technical excellence and business value can align to create transformative solutions. The project's success has influenced how financial institutions approach their digital transformation initiatives, setting new standards for what's possible in financial technology infrastructure. About Padma Naresh Vardhineedi About Padma Naresh Vardhineedi Padma Naresh Vardhineedi is a distinguished software architect and technology leader whose expertise spans cloud computing, AI-driven software engineering, and enterprise architecture. With a proven track record in designing scalable, high-performance solutions across industries, he has consistently delivered innovations that drive digital transformation forward. His deep understanding of cloud technologies, particularly AWS services, combined with his expertise in security architecture and infrastructure automation, has enabled him to create solutions that set new standards for efficiency and reliability in enterprise software development. In an industry that demands continuous innovation and unwavering security, Padma Vardhineedi stands out for his ability to balance technical excellence with practical business requirements. His approach to architecture emphasizes not only technical sophistication but also operational efficiency and user experience. As the technology landscape continues to evolve, his contributions to software architecture and cloud computing continue to influence how organizations approach their digital transformation journeys. This story was distributed as a release by Kashvi Pandey under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Kashvi Pandey under HackerNoon’s Business Blogging Program. Learn more about the program here. here here

Padma Naresh Vardhineedi: Revolutionizing Financial Planning Through Cloud Innovation

Padma Naresh Vardhineedi: የ Cloud Innovation በመጠቀም የፋይናንስ ማረፊያ ንድፍ

Padma Naresh Vardhineedi: ثورة في التخطيط المالي من خلال الابتكار في الشبكة

Padma Naresh Vardhineedi: Revolutionerende økonomisk planlægning gennem cloudinnovation

Padma Naresh Vardhineedi: Revolucionando la planificación financiera a través de la innovación en la nube

Padma Naresh Vardhineedi : Révolutionner la planification financière grâce à l'innovation cloud

Padma Naresh Vardhineedi: Merevolusi Perencanaan Keuangan Melalui Inovasi Cloud

Padma Naresh Vardhineedi: クラウド イノベーションによる財務計画の変革

Padma Naresh Vardhineedi: finansinio planavimo perversmas naudojant debesų naujoves

Падма Нареш Вардхинеди: Үүлэн инновациар дамжуулан санхүүгийн төлөвлөлтөд хувьсгал хийх

Padma Naresh Vardhineedi: Kubadilisha Upangaji wa Fedha Kupitia Ubunifu wa Wingu

Padma Naresh Vardhineedi: Cloud Innovation o‘z bilan qaytaradi

UPadma Naresh Vardhineedi: Ukuguqula uCwangciso lwezeMali ngokuVeliswa kweLifu

Google just dropped a bombshell on the tech world by acquiring cloud security startup Wiz for a staggering $32 billion in cash. The deal marks one of the largest cybersecurity acquisitions ever, and it's raising eyebrows across the world.While Google is framing this as a security powerplay for its cloud division, I'm not convinced this massive bet will pay off. Here's why this might be Google's most expensive mistake. A price tag that defies gravity Let's put this in perspective. Google is paying $32 billion for a company founded just four years ago in 2020. Wiz was valued at $12 billion after raising $1 billion last spring. That means Google is paying nearly triple Wiz's last valuation, and approximately 10% of Alphabet's entire cash reserves ($95.7 billion) for this single acquisition. Even more telling? Google reportedly tried to buy Wiz about six months ago for $23 billion, but the deal fell through due to investor and antitrust concerns. Now they're back, paying an additional $9 billion. That's a 39% premium in half a year for essentially the same company. Someone at Google really, really wants Wiz. The multi-cloud conundrum Google claims Wiz will continue supporting Amazon Web Services, Microsoft Azure, and Oracle Cloud. Sounds good on paper, but ask yourself: is Google really motivated to make its expensive new security tool work flawlessly on competing platforms? The reality is that Google Cloud remains a distant third in the cloud race behind AWS and Azure. This acquisition seems like a desperate attempt to gain leverage rather than a coordinated security strategy. Google is essentially trying to become the security layer for its competitors' infrastructure. That's a precarious position that creates misaligned incentives from day one. Security sells, but who's buying? Wiz has undoubtedly built an impressive AI-driven security platform that helps organizations identify vulnerabilities across their cloud infrastructures. But is advanced cloud security enough to shift enterprise spending patterns or cloud provider preferences? Also, only 44% of middle-market firms have invested in cybersecurity defenses. Despite all the high-profile breaches and constant warnings, most organizations still view security as an unnecessary evil rather than a competitive advantage. Will enterprise customers suddenly pay premium prices for Google-owned Wiz when countless other security vendors exist? The antitrust shadow Despite the assertion that Trump's administration has created a "more deal-friendly antitrust environment," large tech acquisitions still face intense regulatory scrutiny. The Wiz deal will undoubtedly trigger reviews, potentially delaying integration and creating uncertainty among customers and employees. This regulatory scrutiny isn't just a temporary inconvenience. It could fundamentally alter how Google can leverage its new acquisition, potentially limiting the very synergies that justified the massive price tag in the first place. The talent retention challenge Cybersecurity experts are among the most sought-after professionals in tech. Wiz's founding team previously built and sold Adallom to Microsoft for $320 million in 2015. Now they've created a company that's selling for 100 times that amount just a decade later. These are exceptional entrepreneurs with proven track records. But will they stick around after the acquisition? Google's corporate culture and bureaucracy are drastically different from a fast-moving startup environment. Once the founders and key technical talent collect their acquisition payouts, what incentive do they have to stay? The history of tech acquisitions suggests many will leave to start new ventures, taking crucial institutional knowledge with them. The bottom line Google's $32 billion gamble on Wiz represents either remarkable foresight or an expensive miscalculation. While cybersecurity remains critically important, the price tag, integration challenges, and competitive dynamics all suggest this acquisition may not deliver the value Google expects. For a company that built its empire on organic growth and smaller, strategic acquisitions, this massive bet on Wiz stands out as an anomaly. Only time will tell if Google's cloud security gambit pays off or joins the long list of big tech's expensive mistakes.

Has Google Made a $32 Billion Cloud Security Blunder?

Google 32 milyard dollarlıq bulud təhlükəsizliyi səhvi etdi?

Направил ли е Google грешка в облачната сигурност за 32 милиарда долара?

Da li je Google napravio sigurnosnu grešku od 32 milijarde dolara u oblaku?

Hat Google einen Cloud-Sicherheitsfehler im Wert von 32 Milliarden Dollar begangen?

Η Google έκανε μια γκάφα 32 δισεκατομμυρίων δολαρίων στο Cloud Security;

¿Ha cometido Google un error de seguridad en la nube de 32 mil millones de dólares?

Google は 320 億ドルのクラウド セキュリティの失策を犯したのか?

Nanao fahadisoana $32 Miliara Cloud Security ve i Google?

के गुगलले ३२ अर्ब डलरको क्लाउड सुरक्षा गल्ती गरेको छ?

Czy Google popełniło błąd w zakresie bezpieczeństwa chmury wart 32 miliardy dolarów?

Je, Google Imetengeneza Blunder ya Usalama wa Wingu ya $32 Bilioni?

Google có phạm sai lầm về bảo mật đám mây trị giá 32 tỷ đô la không?

Lagos, Nigeria — Monica Technologies, a Nigerian fintech startup, is shooting for the stars as a skyrocketing platform that converts cryptocurrencies to naira at high speed. Focusing on reducing friction and improving reliability regarding trading, the high-efficiency platform tackles an issue faced by many content creators and earners in cryptocurrencies: the fast and safe conversion of digital assets into local currency. Proven Performance and User Experience Monica Technologies is a remarkable platform that converts users' USDT into naira in less than one minute on average, despite the transaction speed everyone expects in the digital financial age. And it isn't just tooting its own horn; its speed has been tested in real time and can be seen streamed online. With such performance, the user experience improves significantly, and Monica Technologies also rises to prominence in Nigeria’s fintech space. Monica Technologies is entirely self-funded, unlike many startups that require outside funding to start operations. They have been able to focus on building their service simply and investor-free. A primary feature of their service is the users' need for speed and security, ensuring that when anyone is changing their crypto to naira, they do so with confidence. Technology and Security at the Core Monica Technologies incorporates robust technology built into its platform works on the rich, user-friendly, fast conversion process. It guarantees that every transaction is securely processed, alleviating the most pressing issue of access to security in digital financial transactions. This strong base has  given the startup a growing audience and laid a foundation for future expansion. Driving Cryptocurrency Adoption Through Efficient Conversions Amid increasing worldwide interest in cryptocurrencies, platforms like Monica Technologies have become paramount for efficient conversion solutions. Their platform powers the everyday financial transactions of individuals and creators and drives the broader adoption of digital currencies in everyday commerce. Future Outlook and Expansion Plans Although Monica Technologies is not actively seeking new investors at the moment, its market traction and potential make it a noteworthy contender in the fintech sector. The startup’s ability to scale operations while maintaining a robust business model is a testament to their strategic planning and market foresight. Looking ahead, Monica Technologies plans to refine its technology further and broaden its service offerings. Committed to staying at the forefront of the fintech industry, the company aims to continuously set new standards for speed and security, challenging other industry players to meet these benchmarks. Website: https://monica.cash/ https://monica.cash/ https://monica.cash/ This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

Monica Technologies Simplifies Crypto To Naira Conversions

Monica Technologies simplifica la conversión de criptomonedas a naira

Monica Technologies-ek Crypto To Naira bihurketak errazten ditu

A Monica Technologies leegyszerűsíti a kriptográfia Naira konvertálását

モニカテクノロジーズが暗号通貨からナイラへの変換を簡素化

Monica Technologies криптодан Найраға айырбастауды жеңілдетеді

Monica Technologies E Simplifié Ba Conversions Ya Crypto Na Naira

Моника Технологи нь криптог Найра руу хөрвүүлэх ажлыг хялбаршуулдаг

Моница Тецхнологиес поједностављује конверзије крипто у наиру

மோனிகா டெக்னாலஜிஸ் கிரிப்டோவை நைராவாக மாற்றுவதை எளிதாக்குகிறது

ሞኒካ ቴክኖሎጂስ ንክሪፕቶ ናብ ናቕፋ ምቕያር የቃልል

Monica Technologies Kriptoyu Nairaya Dönüştürmeyi Kolaylaştırıyor

Monica Technologies đơn giản hóa việc chuyển đổi tiền điện tử sang Naira

The investment landscape of 2025 is literally being overtaken by the AI frenzy, backed by news from giants like Meta, Microsoft, Amazon and others intending to inject over $320 billion in the technology. Unsurprising, considering that 35% of the S&P 500 is made up of tech companies, and AI is hot on their list of wants. This heightened attention to AI has all but overshadowed the seemingly dethroned king of investments – cryptocurrency, largely represented by Bitcoin – the king of passive income. news 35% Beyond the Veil of Hype The influx of AI may seem like a disruption for the crypto market, but that’s a misconception, investments in digital assets will persist. After all, money is a tool for creation, not a means for survival. 73% of US users alone will continue to invest in crypto in 2025, according to Kraken, all driven by the continued evolution of the decentralized industry, which is keeping pace with the trends. It seems AI has breathed new life into the sector after a protracted period of technological lull and loss of confidence on the part of retail investors. users Innovation is the heart of crypto, which is why AI already captured it. An influx of investments in crypto is at hand in light of the ongoing tokenization of real-world assets and the mainstream use of PayFi. These will include AI crypto trading as a means of quick profits. 2025 is set to become a make-or-break moment for crypto as the merger of AI and decentralized systems will usher in tectonic shifts in production management, logistics, machine learning, and other key areas in the real economy, paving the way for greater automation and process optimization – the ultimate dream of the hypercapitalist. captured Fusing the New and the Established With crypto being an inseparable concept of blockchain, investments in its fusion with AI are already on the table in the billions. AI is being rapidly integrated into TradFi and DeFi via projects like Agora and Aptos, as well as in the RWA sector, which is projected to take up as much as 10% of GDP globally by 2030 – about $10 trillion in value. table The critical transition from Web2 to Web3 requires even more investments as high-traffic apps will be forced to migrate on-chain, bringing with them decentralized identity management systems for seamless user experience and better data streaming. The viability of blockchain and AI convergence is best demonstrated by the flurry of AI-driven crypto startups that offer anything from AI-based predictions and foresight to trading and next-gen disruption development. flurry startups With governments setting up Bitcoin treasuries and new crypto AI projects emerging on an almost daily basis, offering an endless variety of truly applicable services, 2025 will likely see a new record in terms of blockchain-oriented investments. Using AI for copy trading is just one of many avenues that foresee advanced machine algorithm use. treasuries projects projects Author: Michael Jerlis, EMCD Founder and CEO. One of the top crypto entrepreneurs under 35 according to Investing.com. Business advisor and NFT collector, prominent media expert and blockchain and Web3 speaker. Author

The Future of Crypto Investments in an AI-Driven Market

Fremtiden for kryptoinvesteringer i et AI-drevet marked

El futuro de las inversiones en criptomonedas en un mercado impulsado por la IA

AI主導の市場における暗号投資の未来

អនាគតនៃការវិនិយោគ Crypto នៅក្នុងទីផ្សារដែលជំរុញដោយ AI

AI башкарган рынокто крипто инвестицияларынын келечеги

एआई-संचालित बजारमा क्रिप्टो लगानीको भविष्य

De toekomst van crypto-investeringen in een door AI aangestuurde markt

Przyszłość inwestycji w kryptowaluty na rynku napędzanym przez sztuczną inteligencję

د مصنوعي ذهانت پر بنسټ بازار کې د کریپټو پانګوونې راتلونکې

Hamuq pacha Cripto Inversiones nisqakuna AI-wan purichisqa qhatupi

መጻኢ ወፍሪ ክሪፕቶ ኣብ AI ዝመርሖ ዕዳጋ

Ang Hinaharap ng Crypto Investments sa isang AI-Driven Market

Science Has a Credibility Problem. Can Gambling Fix It?

Η επιστήμη έχει πρόβλημα αξιοπιστίας. Μπορεί ο τζόγος να το διορθώσει;

La ciencia tiene un problema de credibilidad. ¿Puede el juego solucionarlo?

Sains Memiliki Masalah Kredibilitas. Bisakah Perjudian Memperbaikinya?

科学には信頼性の問題がある。ギャンブルで解決できるのか？

Zinātnei ir uzticamības problēma. Vai azartspēles var to atrisināt?

Шинжлэх ухаанд итгэх итгэлийн асуудал байна. Мөрийтэй тоглоом үүнийг засч чадах уу?

Siyanse Ifite Ikibazo Cyizewe. Urusimbi rushobora kubikosora?

Наука има проблем кредибилитета. Може ли коцкање да то поправи?

அறிவியலுக்கு நம்பகத்தன்மை பிரச்சினை உள்ளது. சூதாட்டத்தால் அதை சரிசெய்ய முடியுமா?

May Problema sa Kredibilidad ang Agham. Maaayos ba Ito ng Pagsusugal?

Inzululwazi Inengxaki Yokuthenjwa. Ngaba Ukungcakaza Ukuyilungisa?

Isayensi Inenkinga Yokwethembeka. Ingabe Ukugembula Kungakulungisela?

Intelligence is not about remembering facts or doing well on tests. It’s about living a life where you can thrive. This means being healthy, financially secure, and happy. You might be great at solving complex math problems, but can you solve the puzzle of your own well-being? When we focus too much on IQ scores, we miss the important skills that matter. Skills like empathy, resilience, creativity, and self-awareness. After all, no one cares if you scored in the top 1% if you’re unhappy every day. Think about it. If you can’t get what you want, like great health, wealth, or strong friendships, then your high IQ isn’t useful. The smartest person is the one who knows how to turn knowledge into real results. So, let’s change the focus. Don’t worry about your IQ score. Instead, ask yourself these questions: “Am I living a life that matches my deepest values? Am I making the lives of people around me better? Am I waking up eager for the day?” Your answers to these questions will tell you more about your intelligence than any test. IQ tests measure certain skills like math, patterns, and language. But they don’t measure the most important thing: creativity. When I took an IQ test, part of it was to show off. I wanted to know if I was “smart.” I rubbed my high scores on everyone’s face. But if I’m truly that smart, would I need to brag about it? A few years ago, I asked a smart friend for tips to improve my intelligence score. They suggested books on memory training, numbers, and mental exercises. The brain is like a muscle. Those books were helpful, but they needed a lot of mental effort. Eventually, I realized I didn’t care about fast math or pattern-matching. Computers can do that well. What I really wanted was to boost my creativity. Being more creative gives a bigger return. If I’m creative enough, I can build machines to do the hard calculations for me. The only benefit of improving my IQ number would have been to impress people. But having a high IQ didn’t help me get dates. The authors of the books wrote the books by being creative. That’s the real superpower IQ tests can’t measure. How Do You Truly Test Intelligence? “The only real test of intelligence is if you get what you want out of life.” ~ Naval Ravikant “The only real test of intelligence is if you get what you want out of life.” ~ Naval Ravikant ~ Naval Ravikant Last year, I created ‘Redefyne.’ It is a different kind of dictionary. I made it after seeing that regular dictionaries only give vague definitions. They don’t explain what you can actually do with the concepts. My “operationary” dictionary gives practical definitions based on what you can do. The same unclear definitions that people sometimes use to mislead you. They say things like “Just be confident,” “Just be like James,” and “Just be patient.” But the problem is, if you don’t know what those things mean, you’ll be treated like you’re dumb. It doesn’t matter whose fault it is. The solution is simple. You have to meet people where they are when teaching them. You have to teach to their level of understanding at the time. I define teaching as breaking down a topic so your student understands it. For example, telling someone “the first step is to build a website.” For someone who knows how to build a website, this is easy to do. But for someone who doesn’t know how to turn on a computer, they won’t understand. There are different layers of knowledge required. There are different layers of knowledge between you and your goals. There are layers of knowledge behind being charismatic, wise, and trustworthy. There are different layers of knowledge that make someone intelligent. I will share this with you. The Layered Depths of Intelligence Let’s look at some explanations of the terms. You can find over 120 of them on the Redefyne website. It’s free. the Redefyne website Intelligence is how fast someone learns. It’s about the speed at which a person picks up new information and skills. Let’s look at a layer of knowledge that is underneath intelligence. Learning. Learning is when you show new actions in the same situation. This is the definition of learning. If I show you a red card and hit you, you’ll learn. If I show the red card again and you move away, you’ve learned. If you don’t duck, you haven’t learned. That’s what learning is. It is not watching 200 YouTube videos or reading 100 books a week. Those can give you ideas to change your behavior. But the important thing is the new behavior itself. Intelligence is how fast you learn. “How many times are you exposed to the same condition before you change your behavior?” If you show Jack and James the red card, Jack ducks after 10 slaps. But James ducks after 30 slaps. This means Jack is more intelligent than James when it comes to ducking slaps. How to Increase Your Intelligence: There are only two ways to become smarter. There are only two ways to become smarter. 1. Improve your ability to see ahead. Improving your foresight lets you plan better. When you can predict the future, you can make smarter choices today. Improve your ability to see ahead Improve your ability to see what might happen next. This helps you learn faster. You can do this by using systems, mental models, and leverage. 2. Do more: Repeating the process lets you see what works and what doesn’t. You can try different ideas and see the results. Doing more iterations allows you to make better decisions. Do more If you are a slow learner, do more practice. For example, if it takes you 20 tries to learn something, do 100 tries while others do 10. You can outperform them through hard work. If you can do both things, then you will be unstoppable. You will be able to achieve anything you want. I’ve explained more details on how to increase your intelligence in this article: https://hackernoon.com/how-to-increase-your-intelligence-even-if-youre-not-genetically-gifted?embedable=true https://hackernoon.com/how-to-increase-your-intelligence-even-if-youre-not-genetically-gifted?embedable=true The article shows how you can become smarter, even if you weren’t born a genius. It gives simple steps anyone can follow to get smarter over time. So, I won’t repeat anything I don’t need to. IQ tests may show how fast you solve puzzles, but they can’t say if you’re building the life you want. True intelligence is about how fast you adapt, grow, and use every lesson to reach your goals. Creativity, foresight, and constant improvement are more important than a test score. At the end, the smartest person is the one happy with what they’ve built. If this article shifted your perspective, imagine what a weekly dose could do. Join value-driven creators rethinking creativity, productivity, and the new economy—plus get access to products, community, and exclusive insights straight to your inbox. Drop your email here: https://crive.substack.com. Enjoy the journey. The true genius keeps learning. ~ Praise

Intelligence Isn't What You Think It Is

বুদ্ধিমত্তা তুমি যা ভাবো তা নয়

Intelligenz ist nicht das, was Sie denken

La inteligencia no es lo que crees

L’intelligence n’est pas ce que vous pensez

बुद्धि वह नहीं है जो आप सोचते हैं कि यह है

Intelligence is not what you think it is. 知性はあなたが思っているようなものではありません。

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