Leveraging innovation and technology to provide the highest level of security against emerging threats, MARSS’ intuitive solutions employ integrated sensor surveillance ... NiDAR Command, NiDAR 4D, NiDAR CUAS, NiDAR CUAS COMPACT, NiDAR X, NiDAR X ...

MARSS demos NiDAR-powered C2 systems to UK MoD

Amazon Great Indian Festival sale is ending today at midnight. Here are the best deals you can grab before the grand Amazon sale ends.

Amazon Great Indian Festival: Best deals to grab before sale ends at midnight

Berlin: INTERGEO EXPO and CONFERENCE has come to a successful close after three days in Berlin. The leading international trade fair for geodesy, geoinformation and land management presented itself as a magnet for the international geospatial community and for the diverse application areas of geodata-based solutions.

INTERGEO confirms its position as the leading platform for the geospatial industry

According to an industry analysis conducted by Fact.MR, in 2022, the worldwide LiDAR sensor market is projected to exceed a value of US$ 1,908.1 million, with a prospective growth rate of 12.7%. By the close of 2032,

LiDAR Sensor Market Demand is anticipated to Reach US$ 6,328.7 million by 2032 - Fact.MR

Back in July, the Enstone and Viry-based outfit made the case that because it was 30 horsepower inferior to its F1 rivals, it should be allowed to ramp up the performance.

F1 rejected Alpine's bid for engine power boost

LLNL's high-purity germanium gamma-ray sensor is part of a suite of instruments traveling to the largest asteroid in the solar system.

LLNL Instrument Making 2-Billion-Mile Journey To Asteroid

Players may opt TO play the PERM, this play TYPE IS simply a straight play of ALL the possible arrangements (permutations) of the number. FOR more info, visit the PCSO 4D Lotto page.

4D Lotto

The double-sized notch and the short-lived Soli sensor stand out as some of Google’s more out-there experiments. But despite the company’s path towards more refined and purposeful hardware ...

The Pixel 8 Pro's temperature sensor is too inaccurate, too inconvenient

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Short-Range Radars Have Huge Potential in the Automotive Radar Market, Finds IDTechEx Research

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4D Sensor

4dsensor

Virtual reality (VR) offers new ways to connect and explore, but it also raises a critical question about what all that immersion does to mental health. The answer isn’t simple, as it can be therapeutic or disruptive to the psyche. Yet, as VR continues to go mainstream, it’s worth taking a closer look at the risks of living inside a headset. The Rise of VR: A Double-Edged Sword Virtual reality has officially left the world of niche tech and is now a multi-billion-dollar industry. Today, over 53 million U.S. consumers own a VR system, and usage will only grow further as the technology advances. People enjoy the use of this system because of how immersive it feels. Once users put on a headset, it takes them to an entirely different world, providing a highly interactive and engaging experience. Users can step back in time to when dinosaurs roamed the earth or enjoy a ride on the world’s tallest roller coaster. It’s an experience like no other — one that makes users feel like they’re there. While VR is popular for gaming, it has many other applications. Current uses include everything from job training and working out to teaching virtual classrooms. Travel and entertainment are also big draws. A recent survey found that 32% of Americans report using virtual reality to explore new places before a trip abroad, and 30% say they’d like to use VR to watch movies. VR makes promises to help people learn and grow while giving users a way to escape reality, but does it have a chance of harming their mental health? Many studies have shown the therapeutic effects this technology has had on people struggling with anxiety and other mental health disorders. However, further research exemplifies the psychological risks that can occur the deeper the immersion becomes. How VR Use Can Harm Mental Health VR impacts mental health in different ways. However, the effects of its use depend heavily on how people interact with it, the platform they use, and how long they use it. For instance, a five-minute guided meditation session in a calming forest is a far cry from spending six hours deep in a chaotic multiplayer shooter. The problem is the more immersive and engaging VR becomes, the easier it is to lose track of time and reality. And while short, purposeful sessions can be harmless, extended or unstructured use can have unexpected side effects. Here is a breakdown of the most common mental health risks that can arise from its use. 1. Disassociation and Reality Confusion Virtual reality has been shown to blur the boundaries between the virtual and the real, leading to disassociation and reality confusion. Users may experience depersonalization, where they feel detached from their own body, or derealization, where the external world seems unreal. In a retrospective survey involving 358 VR users, 83.9% reported experiencing dissociative symptoms after using VR. The study highlighted that longer sessions and preexisting mental health conditions could exacerbate these symptoms. Anecdotal evidence also supports these concerns. For instance, Jeff Grover — an avid VR gamer — recounted episodes where he found himself perceiving real-life environments as though they were part of a game. While walking outdoors with his wife, he noted how lifelike the graphics were. Even after an hour-long session, Grover noticed how he could not socialize with friends at a bar and have a conversation. Such experiences highlight how prolonged immersion can lead to challenges in distinguishing between the virtual and real worlds. 2. Social Isolation VR platforms enable users to connect with others virtually. It can be a great way to meet new people or catch up with loved ones from afar. However, excessive reliance on these digital interactions may reduce in-person engagements, potentially diminishing real-world social skills and deepening feelings of loneliness. Research indicates the problems of social media use in immersive platforms. A study published in PLOS ONE found that excessive engagement with social VR can lead toreduced real-life social support, which is crucial for mental health. 3. Increased Anxiety and Panic While virtual reality can be thrilling, it can also be overwhelming, especially for users with anxiety disorders or sensory sensitivities. The immersive nature of VR means that even a minor in-game event triggers a psychological response. Think sudden jump scares, disorienting visuals, or tight virtual spaces that simulate claustrophobia. The brain reacts as if these scenarios are truly happening. Because these systems engage the senses so powerfully, they can induce symptoms like shortness of breath, racing heart, or panic attacks. However, it also depends on the environment in which users are located. Whether it simulates falling, drowning, or the feeling of being trapped, individuals can easily experience anxiety-related symptoms. 4. Addiction and Escapism One of VR’s biggest selling points is its ability to transport users to entirely different worlds. However, the same feature can become a crutch for those looking to escape their real lives. This is where addiction to escapism starts to creep in. Social VR platforms, massively multiplayer online role-playing games, and sandbox-style worlds offer endless opportunities for interaction and entertainment. For some users, these spaces become their preferred realities. While everyone needs a break now and then, virtual escapes can become a substitute for facing real-life problems. It can snowball into avoidance and isolation and become detrimental to users’ mental health. When VR Can Be Good for Mental Health Virtual reality may present certain risks but offers promising outcomes when used appropriately. One application is in exposure therapy for anxiety disorders. A recent study explored the benefits of personalized VR exposure therapy for individuals with panic disorder and agoraphobia. In this study, participants were divided into two groups — one experienced VR environments tailored to their specific triggers, adjusting brightness and crowd density, while the other encountered randomized settings. The findings revealed that those in the personalized VR group exhibited heightened anxiety responses during sessions. This outcome is desirable in exposure therapy, where individuals can confront and process their anxieties. Yet, by conducting it in a personalized way, therapists can facilitate more progress and ensure safety while gradually building resilience against real-world triggers. Beyond anxiety treatment, VR also shows potential in addressing other mental health challenges like post-traumatic stress disorder and phobias. As the technology evolves, its role in therapeutic settings will likely expand, offering innovative solutions for mental health professionals and patients. Best Practices for Safe VR Use As with any emerging technology, how people use VR matters as much as what they use it for. To enjoy the benefits of it without putting their mental health at risk, users should keep these practical safety guidelines in mind: Set time limits: VR’s biggest drawback is its ability to detach users from the real world. It’s easy to lose track of time when immersed in a virtual environment that feels all too real. Limiting time and spending in these alternative realities keeps the experience balanced and grounded.
Take regular breaks: Users should give their brain and body time to recalibrate by stepping out of VR at least every 30 minutes to reduce eye strain, motion sickness, and dissociation.
Use VR in a safe environment: Make sure the surroundings are free from tripping hazards and that there is enough space to move around safely. Lighting can also help users stay anchored in reality while using the headset.
Avoid VR right before bed: The sensory stimulation and blue light exposure can interfere with sleep cycles. Creating time to wind down in the real world is essential to falling asleep.
Be mindful of your emotional state: When feeling anxious or emotionally off, consider skipping VR sessions, as they may intensify those feelings. Using VR Safely Virtual reality is one of the most immersive technologies ever created, which is why it profoundly impacts mental health. Yet, when used intentionally, it can be an excellent tool for healing, learning, and personal growth. That’s why users must stay grounded to reduce the risks associated with it. When individuals know their limits and listen to their bodies, they can enjoy the system more freely. Virtual reality (VR) offers new ways to connect and explore, but it also raises a critical question about what all that immersion does to mental health. The answer isn’t simple, as it can be therapeutic or disruptive to the psyche. Yet, as VR continues to go mainstream, it’s worth taking a closer look at the risks of living inside a headset. Virtual reality (VR) offers new ways to connect and explore, but it also raises a critical question about what all that immersion does to mental health. The answer isn’t simple, as it can be therapeutic or disruptive to the psyche. Yet, as VR continues to go mainstream, it’s worth taking a closer look at the risks of living inside a headset. The Rise of VR: A Double-Edged Sword The Rise of VR: A Double-Edged Sword Virtual reality has officially left the world of niche tech and is now a multi-billion-dollar industry. Today, over 53 million U.S. consumers own a VR system, and usage will only grow further as the technology advances. 53 million U.S. consumers People enjoy the use of this system because of how immersive it feels. Once users put on a headset, it takes them to an entirely different world, providing a highly interactive and engaging experience. Users can step back in time to when dinosaurs roamed the earth or enjoy a ride on the world’s tallest roller coaster. It’s an experience like no other — one that makes users feel like they’re there. While VR is popular for gaming, it has many other applications. Current uses include everything from job training and working out to teaching virtual classrooms. Travel and entertainment are also big draws. A recent survey found that 32% of Americans report using virtual reality to explore new places before a trip abroad, and 30% say they’d like to use VR to watch movies. found that 32% of Americans report VR makes promises to help people learn and grow while giving users a way to escape reality, but does it have a chance of harming their mental health? Many studies have shown the therapeutic effects this technology has had on people struggling with anxiety and other mental health disorders. However, further research exemplifies the psychological risks that can occur the deeper the immersion becomes. How VR Use Can Harm Mental Health VR impacts mental health in different ways. However, the effects of its use depend heavily on how people interact with it, the platform they use, and how long they use it. For instance, a five-minute guided meditation session in a calming forest is a far cry from spending six hours deep in a chaotic multiplayer shooter. depend heavily on how people interact The problem is the more immersive and engaging VR becomes, the easier it is to lose track of time and reality. And while short, purposeful sessions can be harmless, extended or unstructured use can have unexpected side effects. Here is a breakdown of the most common mental health risks that can arise from its use. 1. Disassociation and Reality Confusion Virtual reality has been shown to blur the boundaries between the virtual and the real, leading to disassociation and reality confusion. Users may experience depersonalization, where they feel detached from their own body, or derealization, where the external world seems unreal. In a retrospective survey involving 358 VR users, 83.9% reported experiencing dissociative symptoms after using VR. The study highlighted that longer sessions and preexisting mental health conditions could exacerbate these symptoms. 83.9% reported experiencing dissociative symptoms Anecdotal evidence also supports these concerns. For instance, Jeff Grover — an avid VR gamer — recounted episodes where he found himself perceiving real-life environments as though they were part of a game. found himself perceiving real-life environments While walking outdoors with his wife, he noted how lifelike the graphics were. Even after an hour-long session, Grover noticed how he could not socialize with friends at a bar and have a conversation. Such experiences highlight how prolonged immersion can lead to challenges in distinguishing between the virtual and real worlds. 2. Social Isolation VR platforms enable users to connect with others virtually. It can be a great way to meet new people or catch up with loved ones from afar. However, excessive reliance on these digital interactions may reduce in-person engagements, potentially diminishing real-world social skills and deepening feelings of loneliness. Research indicates the problems of social media use in immersive platforms. A study published in PLOS ONE found that excessive engagement with social VR can lead to reduced real-life social support , which is crucial for mental health. reduced real-life social support 3. Increased Anxiety and Panic While virtual reality can be thrilling, it can also be overwhelming, especially for users with anxiety disorders or sensory sensitivities. The immersive nature of VR means that even a minor in-game event triggers a psychological response. Think sudden jump scares, disorienting visuals, or tight virtual spaces that simulate claustrophobia. The brain reacts as if these scenarios are truly happening. Because these systems engage the senses so powerfully, they can induce symptoms like shortness of breath, racing heart, or panic attacks. However, it also depends on the environment in which users are located. Whether it simulates falling, drowning, or the feeling of being trapped, individuals can easily experience anxiety-related symptoms. 4. Addiction and Escapism One of VR’s biggest selling points is its ability to transport users to entirely different worlds. However, the same feature can become a crutch for those looking to escape their real lives. This is where addiction to escapism starts to creep in. Social VR platforms, massively multiplayer online role-playing games, and sandbox-style worlds offer endless opportunities for interaction and entertainment. For some users, these spaces become their preferred realities. While everyone needs a break now and then, virtual escapes can become a substitute for facing real-life problems. It can snowball into avoidance and isolation and become detrimental to users’ mental health. When VR Can Be Good for Mental Health Virtual reality may present certain risks but offers promising outcomes when used appropriately. One application is in exposure therapy for anxiety disorders. A recent study explored the benefits of personalized VR exposure therapy for individuals with panic disorder and agoraphobia. In this study, participants were divided into two groups — one experienced VR environments tailored to their specific triggers, adjusting brightness and crowd density, while the other encountered randomized settings. The findings revealed that those in the personalized VR group exhibited heightened anxiety responses during sessions. were divided into two groups This outcome is desirable in exposure therapy, where individuals can confront and process their anxieties. Yet, by conducting it in a personalized way, therapists can facilitate more progress and ensure safety while gradually building resilience against real-world triggers. Beyond anxiety treatment, VR also shows potential in addressing other mental health challenges like post-traumatic stress disorder and phobias. As the technology evolves, its role in therapeutic settings will likely expand, offering innovative solutions for mental health professionals and patients. Best Practices for Safe VR Use As with any emerging technology, how people use VR matters as much as what they use it for. To enjoy the benefits of it without putting their mental health at risk, users should keep these practical safety guidelines in mind: Set time limits: VR’s biggest drawback is its ability to detach users from the real world. It’s easy to lose track of time when immersed in a virtual environment that feels all too real. Limiting time and spending in these alternative realities keeps the experience balanced and grounded. Take regular breaks: Users should give their brain and body time to recalibrate by stepping out of VR at least every 30 minutes to reduce eye strain, motion sickness, and dissociation. Use VR in a safe environment: Make sure the surroundings are free from tripping hazards and that there is enough space to move around safely. Lighting can also help users stay anchored in reality while using the headset. Avoid VR right before bed: The sensory stimulation and blue light exposure can interfere with sleep cycles. Creating time to wind down in the real world is essential to falling asleep. Be mindful of your emotional state: When feeling anxious or emotionally off, consider skipping VR sessions, as they may intensify those feelings. Set time limits: VR’s biggest drawback is its ability to detach users from the real world. It’s easy to lose track of time when immersed in a virtual environment that feels all too real. Limiting time and spending in these alternative realities keeps the experience balanced and grounded. is its ability to detach users Take regular breaks: Users should give their brain and body time to recalibrate by stepping out of VR at least every 30 minutes to reduce eye strain, motion sickness, and dissociation. at least every 30 minutes Use VR in a safe environment: Make sure the surroundings are free from tripping hazards and that there is enough space to move around safely. Lighting can also help users stay anchored in reality while using the headset. Avoid VR right before bed: The sensory stimulation and blue light exposure can interfere with sleep cycles. Creating time to wind down in the real world is essential to falling asleep. Be mindful of your emotional state: When feeling anxious or emotionally off, consider skipping VR sessions, as they may intensify those feelings. Using VR Safely Virtual reality is one of the most immersive technologies ever created, which is why it profoundly impacts mental health. Yet, when used intentionally, it can be an excellent tool for healing, learning, and personal growth. That’s why users must stay grounded to reduce the risks associated with it. When individuals know their limits and listen to their bodies, they can enjoy the system more freely.

Is Virtual Reality Bad for Your Mental Health?

The AI Engineer’s Playbook: Mastering Vector Search & Management (Part 2)

There’s a man in Quezon City who’s walked the same four-block scrap route for over a decade. No ID. No payroll. But everyone on that street knows him. He’s the one who always shows up. He knows which households throw out copper. Which mornings have better yield. Which buyers underreport weight. He’s an informal economist in flip flops, a master of urban logistics, running on instinct and sweat. But if he gets hit by a truck tomorrow, no system will remember he ever existed. But if he gets hit by a truck tomorrow, no system will remember he ever existed. Multiply him by 20 million. That’s the global informal waste workforce. Coordinating without apps. Surviving without systems and operating critical infrastructure for cities that don’t acknowledge them. Multiply him by 20 million. global informal waste workforce This is the invisible backbone of the urban economy. And it has no record. And it has no record. And it has no record. The Cost of Being Unrecorded The Cost of Being Unrecorded Trash collectors show up every day. Rain, heat, rats. Doesn’t matter. They work. But because no one tracks it, no one counts it. And if no one counts it, nothing else follows. nothing else follows. No bank will touch them. No landlord will trust them. No government will say, “You’ve earned anything at all.” A man can pick up trash for ten years and still be denied a loan—because the system says he’s done nothing. No button says “verify effort”, no checkbox for “lifted 10 tons of metal with bare hands.” A man can pick up trash for ten years and still be denied a loan—because the system says he’s done nothing. And so the cycle holds: You do the labor. The world forgets. You start over again. You start over again. Blockchain Said It Was Built for This. What Happened Was The Opposite. Blockchain Said It Was Built for This. What Happened Was The Opposite. Crypto made promises: Bank the unbanked. Serve the trustless. Remember the forgotten. Instead, it mostly gave us cartoon auctions and self-referential tokenomics. Proof-of-work became a GPU contest. Proof-of-stake turned into who showed up rich. DAOs became Discord clubs run by mods with multisigs. Meanwhile, the people with no ID, no credit, and no system? Still off-chain. Still unverified. Still invisible. Blockchain didn’t get a bad rep because it aimed too low. Maybe it forgot to look down. Blockchain didn’t get a bad rep because it aimed too low. Maybe it forgot to look down. Blockchain didn’t get a bad rep because it aimed too low. Maybe it forgot to look down. Blockchain didn’t get a bad rep because it aimed too low. Maybe it forgot to look down. Waste Is Already Decentralized—But It Can’t Grow Without Proof Waste Is Already Decentralized—But It Can’t Grow Without Proof There’s no company, no contract, no bosses. Just people who show up, know their routes and move what no one else will. Self-coordination? Yes.


Peer enforcement? Absolutely.


Reputation-based access? It’s all they’ve got.


Incentives? Survival-level aligned. Self-coordination? Yes. Self-coordination? Yes. Yes. Peer enforcement? Absolutely. Peer enforcement? Absolutely. Absolutely. Reputation-based access? It’s all they’ve got. Reputation-based access? It’s all they’ve got. It’s all they’ve got. Incentives? Survival-level aligned. Incentives? Survival-level aligned. Survival-level aligned. It runs like a DAO—minus one thing: the ledger. And that’s the problem. It runs like a DAO—minus one thing: the ledger. And that’s the problem. It runs like a DAO—minus one thing: the ledger. And that’s the problem. Even though this operation is ruthlessly efficient, it can’t grow. No logs, no trail, and no compounding value. Every effort disappears by morning. Nothing lasts. Even though this operation is ruthlessly efficient, it can’t grow. Nothing lasts. That’s not failure; it’s what happens when no one writes it down. it’s what happens when no one writes it down. it’s what happens when no one writes it down. The Garbage DAO: A Protocol For The Smelly The Garbage DAO: A Protocol For The Smelly No app, no marketplace. This protocol does one thing: it remembers the labor the world forgot. This protocol does one thing: it remembers the labor the world forgot. A system so small, so resilient, so boring—it outlasts everything. It’s a machine for remembering effort and finally lets that work compound into something more than sweat. A system so small, so resilient, so boring—it outlasts everything. It’s a machine for remembering effort and finally lets that work compound into something more than sweat. It’s a machine for remembering effort What It Has To Survive What It Has To Survive This system has no startup runway, no, onboarding flow, and absolutely zero margin for error. So it has to work when: • You have no signal • Your phone is dying • You share your device with three other people • The scrapyard doesn’t know what blockchain is • Someone’s trying to spoof the system • And nobody cares about the tech This protocol assumes chaos is the norm, not the outlier. assumes chaos What It Has To Deliver What It Has To Deliver If it can’t do all five of these, it’s not worth building: 1. A way to log work without friction 2. A way to verify work happened, sometimes without the need of another human being present 3. A way to tie that work to reputation 4. A way to trigger payout 5. A way to let that record grow into power And it has to do all of it without the collector knowing what “blockchain” means. without the collector knowing what “blockchain” means. 1. Collection Layer — No App, No Problem 1. Collection Layer — No App, No Problem The collector picks up the trash. They log it with whatever they have: • Snap a photo • Scan a QR code • Send an SMS code from a dumbphone No apps. No account creation. Just a trace. The action stays the same. The difference is: now it counts. The action stays the same. The difference is: now it counts. 2. Verification Layer — No Co-Sign, No Coin 2. Verification Layer — No Co-Sign, No Coin Spoofing is real. Trust is fragile. So every pickup needs a co-signature: • Peer + peer • Collector + buyer • Collector + sensor (weight, NFC tag, timestamped bin) This two-party validation locks down credibility without needing a single KYC’d identity. Sybil resistance based on sweat, not social tokens. Sybil resistance based on sweat 3. Storage Layer — Logs Don’t Die When The WiFi Does 3. Storage Layer — Logs Don’t Die When The WiFi Does Logs get stored locally—on-device, kiosk, or even printed QR. They’re batched and synced when signal comes back. Then they’re pushed: • To IPFS or Arweave for permanence • Then anchored to a low-fee chain (Polygon, Celo, Solana—whatever works locally) This isn’t built for uptime. It’s built to fail gracefully, and still remember the work. It’s built to fail gracefully, and still remember the work. 4. Reward Layer — Trash In. Tokens Out. 4. Reward Layer — Trash In. Tokens Out. Once a log is verified, the collector gets paid. Not someday. Not after approval. Automatically, in something like SpaceCoin. The coin of choice should be: Automatically, in something like SpaceCoin. • Stable, programmable, and designed for real-world use • Works across wallets, SMS relays, and low-friction interfaces • Spendable as food credit, airtime, or local cash-out • No volatility. No speculation. Just payout. Labor needs to meet liquidity near instantaneously, or these scavengers are out. liquidity near instantaneously, or these scavengers are out. 5. Reputation Layer — A Resume You Can’t Fake 5. Reputation Layer — A Resume You Can’t Fake Every verified pickup earns non-transferable tokens: non-transferable tokens • Soulbound to a wallet or device • Logged with timestamp, zone, and co-signature • Impossible to fake at scale, impossible to transfer This becomes your reputation collateral. Not for status, but for trust to: reputation collateral • Get higher-paying routes • Settle disputes • Represent zones in governance • Trigger faster payouts If the system forgets you, you’re no one. If it remembers you, you matter. This layer turns memory into economic leverage. This layer turns memory into economic leverage. This layer turns memory into economic leverage. 6. Governance Layer — No Sweat, No Seat 6. Governance Layer — No Sweat, No Seat You can’t outsource governance for a system like this. Governments can’t manage it—they don’t know who’s working or where. Corporations won’t—they don’t see a business model. NGOs try—but they leave when the grant ends. The only people qualified to govern this protocol are the ones who keep it alive. The only people qualified to govern this protocol are the ones who keep it alive. Because they know: • Who’s hauling and who’s faking it • Which routes matter and which ones are pointless • What’s broken, what’s working, and what no whitepaper ever predicted So the protocol says: fine. If you’ve shown up a hundred times, you decide how the next hundred work: If you’ve shown up a hundred times, you decide how the next hundred work: • You stake your rep to claim new zones • You vote with tokens earned through sweat, not speculation • You fix what’s broken—because you’re the one living with it This isn’t “decentralized governance” as idealism. A DAO is the only structure that matches the system’s lived complexity. And if someone’s picking up trash at 3am while the rest of the city pretends it doesn’t exist—they deserve more say than anyone watching from a dashboard. This isn’t “decentralized governance” as idealism. A DAO is the only structure that matches the system’s lived complexity. And if someone’s picking up trash at 3am while the rest of the city pretends it doesn’t exist—they deserve more say than anyone watching from a dashboard. they deserve more say than anyone watching from a dashboard. 7. Treasury Layer — Proof Brings the Payouts 7. Treasury Layer — Proof Brings the Payouts Nobody funds potential anymore. They fund receipts. Once every pickup is logged, verified, and priced—cleanup becomes an asset. That’s when the money comes in: receipts cleanup becomes an asset. • ESG budgets need proof of environmental impact • Cities want pay-per-performance waste contracts • Climate funds will pay to remove plastic and offset carbon • Brands will sponsor zones—if they can prove the work happened But none of them want to wire money to a nonprofit promising to do good. They want verifiable guarantees, priced by the bag. They want verifiable guarantees, priced by the bag. That’s what the treasury delivers. It holds funds in something like SpaceCoin, releases payouts automatically, and logs every transaction—public, permanent, auditable. The more cleanup gets verified, the more capital flows in. Not as charity. As purchase. SpaceCoin Not as charity. As purchase. And for the first time, the more waste disappears, the harder it is to ignore who made it happen. And for the first time, the more waste disappears, the harder it is to ignore who made it happen. And for the first time, the more waste disappears, the harder it is to ignore who made it happen. The Market Everyone Missed The Market Everyone Missed This wasn’t a product waiting to be invented. It was a market already in motion. Decentralized. High volume. Global. All it lacked was a ledger. All it lacked was a ledger. And no one in tech thought to build one. Not because it didn’t make sense—but because it didn’t look like a startup. It looked like labor. It reeked of rot. It had maggots. And that was enough for everyone to look away. And that was enough for everyone to look away. And that was enough for everyone to look away. Redemption In Rubbish Redemption In Rubbish Web3’s reputation crisis doesn’t come from the tech. That’s always been fine. It just got pointed at pixelated monkeys and governance tokens for apps with seven users and nine multisigs. Maybe redemption doesn’t come building for the future, but for filth. The one that lives behind your supermarket at 3am, where the air burns, and the bags leak. Maybe redemption doesn’t come building for the future, but for filth. The one that lives behind your supermarket at 3am, where the air burns, and the bags leak. This is a chance to earn both kinds of street cred: This is a chance to earn both kinds of street cred: The kind that smells. The kind that smells. And the kind Wall Street takes seriously. And the kind Wall Street takes seriously.

Proof Of Waste: Why the Blockchain Belongs In The Dumpster

From the intricate circuits of dark matter detectors to the miniature sensors embedded in wearables, Anirban Chatterjee has charted an unexpected but deeply impactful course through hardware and biomedical engineering. His mission? To make health sensing as intuitive and accessible as checking the weather. “I remember watching my grandfather struggle with bronchitis and thinking — we have the tech to catch this earlier; we’re just not using it right,” Chatterjee recalls. “That’s what got me hooked.” The Journey Begins: Building Foundations at Stanford That motivation led Chatterjee to Stanford University, where a Master’s in Electrical Engineering laid the groundwork for a career rooted in both scientific rigor and real-world application. As a research assistant, he contributed to the front-end system design for SQUID detectors at the Stanford Linear Accelerator Center— critical instruments in dark matter experiments. But it wasn’t just the science that stuck; it was the systems thinking and engineering precision behind detection of tiny, tiny signals. Even before Stanford, Chatterjee had already begun exploring biomedical signal processing at Ryerson University’s Signal Analysis Research Group, laying a technical foundation that would guide his later shift toward health-focused technologies. “You could tell he wasn’t just doing it for the academic challenge,” says Dr. C. Bhattacharyya, a former advisor. “There was always a personal mission driving the work — especially around lung health.” From Research to Reality: Pioneering Wearable Technology That mission took tangible form in Chatterjee’s contributions to some of the most widely used consumer devices. As a module architect, he was part of the team that developed the first strain-based force sensor for mobile devices— technology that enabled pressure-sensitive interaction with previously untapped hardware fidelity. Later, as a sensor architect, Chatterjee led development of critical subsystems within a wearable ECG platform. The result: clinical-grade heart monitoring in a consumer device now worn by millions. That same sensor technology has since been adopted by researchers at institutions like Stanford and the Mayo Clinic to study cardiac health in unprecedented ways. "Technology's ability to reveal hidden health conditions gives people the knowledge they need to make better choices,” he says. “That’s what makes it so powerful.” His most recent work centers on respiratory health. Several patents now filed under Chatterjee’s name aim to replace traditional spirometry — often limited to clinical settings — with user-friendly, portable alternatives. The goal: to democratize respiratory diagnostics and bring proactive lung monitoring into everyday life. Recognition and Impact Chatterjee’s work has not gone unnoticed. His projects have been featured in Forbes, The New York Times, and TIME, which have highlighted both the ingenuity of the technologies and their broad societal relevance. In academic and technical circles, Chatterjee is regularly invited to review submissions for top-tier conferences in biomedical engineering and signal processing. He holds several patents and has authored publications in both peer-reviewed journals and widely read technology magazines. Exploring New Frontiers Asked what keeps the work exciting, he doesn’t hesitate: “I just love the idea that something I helped build might let someone catch a health issue early — and maybe change the outcome,” he says. “There’s so much uncharted territory in biomedical engineering. It feels like we’re just getting started.” It’s a unique blend of technical excellence, human-centered design, and a personal calling that drives Chatterjee’s approach. From dark matter research labs to devices that sit quietly on our wrists, his contributions are already shaping the future of health — and his story is still unfolding**.** From the intricate circuits of dark matter detectors to the miniature sensors embedded in wearables, Anirban Chatterjee has charted an unexpected but deeply impactful course through hardware and biomedical engineering. His mission? To make health sensing as intuitive and accessible as checking the weather. “I remember watching my grandfather struggle with bronchitis and thinking — we have the tech to catch this earlier; we’re just not using it right,” Chatterjee recalls. “That’s what got me hooked.” “I remember watching my grandfather struggle with bronchitis and thinking — we have the tech to catch this earlier; we’re just not using it right,” Chatterjee recalls. “That’s what got me hooked.” The Journey Begins: Building Foundations at Stanford The Journey Begins: Building Foundations at Stanford That motivation led Chatterjee to Stanford University, where a Master’s in Electrical Engineering laid the groundwork for a career rooted in both scientific rigor and real-world application. As a research assistant, he contributed to the front-end system design for SQUID detectors at the Stanford Linear Accelerator Center— critical instruments in dark matter experiments. But it wasn’t just the science that stuck; it was the systems thinking and engineering precision behind detection of tiny, tiny signals. Even before Stanford, Chatterjee had already begun exploring biomedical signal processing at Ryerson University’s Signal Analysis Research Group, laying a technical foundation that would guide his later shift toward health-focused technologies. “You could tell he wasn’t just doing it for the academic challenge,” says Dr. C. Bhattacharyya, a former advisor. “There was always a personal mission driving the work — especially around lung health.” From Research to Reality: Pioneering Wearable Technology From Research to Reality: Pioneering Wearable Technology That mission took tangible form in Chatterjee’s contributions to some of the most widely used consumer devices. As a module architect, he was part of the team that developed the first strain-based force sensor for mobile devices— technology that enabled pressure-sensitive interaction with previously untapped hardware fidelity. Later, as a sensor architect, Chatterjee led development of critical subsystems within a wearable ECG platform. The result: clinical-grade heart monitoring in a consumer device now worn by millions. That same sensor technology has since been adopted by researchers at institutions like Stanford and the Mayo Clinic to study cardiac health in unprecedented ways. "Technology's ability to reveal hidden health conditions gives people the knowledge they need to make better choices,” he says. “That’s what makes it so powerful.” His most recent work centers on respiratory health. Several patents now filed under Chatterjee’s name aim to replace traditional spirometry — often limited to clinical settings — with user-friendly, portable alternatives. The goal: to democratize respiratory diagnostics and bring proactive lung monitoring into everyday life. Recognition and Impact Recognition and Impact Chatterjee’s work has not gone unnoticed. His projects have been featured in Forbes , The New York Times , and TIME , which have highlighted both the ingenuity of the technologies and their broad societal relevance. Forbes The New York Times TIME In academic and technical circles, Chatterjee is regularly invited to review submissions for top-tier conferences in biomedical engineering and signal processing. He holds several patents and has authored publications in both peer-reviewed journals and widely read technology magazines. Exploring New Frontiers Exploring New Frontiers Asked what keeps the work exciting, he doesn’t hesitate: “I just love the idea that something I helped build might let someone catch a health issue early — and maybe change the outcome,” he says. “There’s so much uncharted territory in biomedical engineering. It feels like we’re just getting started.” It’s a unique blend of technical excellence, human-centered design, and a personal calling that drives Chatterjee’s approach. From dark matter research labs to devices that sit quietly on our wrists, his contributions are already shaping the future of health — and his story is still unfolding**.**

Democratizing Health: The Visionary Engineering of Anirban Chatterjee

Демократизиране на здравето: Визионерското инженерство на Anirban Chatterjee

Democratitzar la salut: l'enginyeria visionària d'Anirban Chatterjee

Democratizando la salud: la ingeniería visionaria de Anirban Chatterjee

Demokratize Sante: Jeni Vizyonè Anirban Chatterjee

健康の民主化:Anirban Chatterjeeのビジョンエンジニアリング

ჯანმრთელობის დემოკრატიზაცია: ანირბან ჩატერჯის ხედვითი ინჟინერია

Go dira gore Maphelo a Temokrasi: Boentšenere bja Pono bja Anirban Chatterjee

Democratizarea sănătății: Ingineria vizionară a lui Anirban Chatterjee

Demokratize Sağlık: Anirban Chatterjee'nin Vizyoner Mühendisliği

Sog'liqni saqlashni demokratlashtirish: Anirban Chatterjining istiqbolli muhandisligi

While generative AI and LLMs dominate today's headlines, a quieter but equally profound transformation is unfolding at the network's edge. Edge AI agents—autonomous systems operating directly on endpoint devices—are fundamentally reshaping how we deploy intelligence. The implications for developers and architects are immediate and far-reaching. What Are Edge AI Agents? Simply put, Edge AI agents process data and make decisions locally on devices without constant cloud connectivity. A smartphone that recognizes speech offline, a factory sensor detecting anomalies, or a security camera identifying objects—all represent Edge AI at work. The traditional data flow—collect at the edge, send to cloud, process, return results—creates bottlenecks that Edge AI eliminates: Latency: Mission-critical applications can't tolerate cloud roundtrips
Bandwidth: IoT networks generate volumes that overwhelm traditional infrastructure
Privacy: GDPR and similar frameworks restrict unnecessary data movement
Reliability: Essential systems must function during connectivity disruptions Latency: Mission-critical applications can't tolerate cloud roundtrips Latency: Bandwidth: IoT networks generate volumes that overwhelm traditional infrastructure Bandwidth: Privacy: GDPR and similar frameworks restrict unnecessary data movement Privacy: Reliability: Essential systems must function during connectivity disruptions Reliability: Why Edge AI Is Surging Now Four developments have converged to accelerate Edge AI adoption in 2025: Hardware maturation: Purpose-built AI accelerators (NVIDIA Jetson, Google Coral TPUs) now deliver high performance in energy-efficient packages
Model optimization breakthroughs: Techniques like quantization and pruning can reduce model size by 50-90% for many architectures with minimal accuracy loss
Growing market demand: The global edge computing market is expected to reach $206.77 billion by 2032 with a 36.9% CAGR from 2024, while the U.S. market is forecast to reach $7.2 billion in 2025
Privacy imperatives: Regulations increasingly mandate local processing where possible Hardware maturation: Purpose-built AI accelerators (NVIDIA Jetson, Google Coral TPUs) now deliver high performance in energy-efficient packages Hardware maturation: Model optimization breakthroughs: Techniques like quantization and pruning can reduce model size by 50-90% for many architectures with minimal accuracy loss Model optimization breakthroughs: Growing market demand: The global edge computing market is expected to reach $206.77 billion by 2032 with a 36.9% CAGR from 2024, while the U.S. market is forecast to reach $7.2 billion in 2025 Growing market demand: Privacy imperatives: Regulations increasingly mandate local processing where possible Privacy imperatives: Real-World Impact: Beyond Theory Edge AI is delivering measurable results across industries: Manufacturing: Modern automotive plants use edge-powered predictive maintenance systems that analyze vibration patterns locally, significantly reducing unplanned downtime and eliminating cloud dependency.
Healthcare: Major medical centers deploy edge-enabled patient monitoring systems that process vital signs locally, enabling faster response to critical conditions while maintaining strict HIPAA compliance.
Urban Infrastructure: Smart cities in 2025 use intelligent traffic management with embedded Edge AI, processing congestion data locally to optimize flow patterns and reduce commute times.
Retail: Leading brands leverage in-store Edge AI for inventory management and customer analytics, providing real-time insights without sensitive data leaving the premises. Manufacturing: Modern automotive plants use edge-powered predictive maintenance systems that analyze vibration patterns locally, significantly reducing unplanned downtime and eliminating cloud dependency. Manufacturing: Healthcare: Major medical centers deploy edge-enabled patient monitoring systems that process vital signs locally, enabling faster response to critical conditions while maintaining strict HIPAA compliance. Healthcare: Urban Infrastructure: Smart cities in 2025 use intelligent traffic management with embedded Edge AI, processing congestion data locally to optimize flow patterns and reduce commute times. Urban Infrastructure: Retail: Leading brands leverage in-store Edge AI for inventory management and customer analytics, providing real-time insights without sensitive data leaving the premises. Retail: Architecture: How Edge AI Works Implementation relies on three complementary approaches: Architecture-Specific Optimization: Quantization reduces numeric precision while pruning eliminates redundant connections. For vision models like MobileNet and EfficientNet, this can reduce size by 70-85% with minimal accuracy impact.
Advanced Federated Learning: Devices improve collaboratively while keeping data local, enabling privacy-preserving intelligence that meets modern regulatory requirements.
LLM Distillation for Edge: Smaller foundation models (1-7B parameters) are now being successfully deployed on edge devices for specialized tasks, bringing LLM capabilities to constrained environments. Architecture-Specific Optimization: Quantization reduces numeric precision while pruning eliminates redundant connections. For vision models like MobileNet and EfficientNet, this can reduce size by 70-85% with minimal accuracy impact. Architecture-Specific Optimization: Advanced Federated Learning: Devices improve collaboratively while keeping data local, enabling privacy-preserving intelligence that meets modern regulatory requirements. Advanced Federated Learning: LLM Distillation for Edge: Smaller foundation models (1-7B parameters) are now being successfully deployed on edge devices for specialized tasks, bringing LLM capabilities to constrained environments. LLM Distillation for Edge: Key Challenges to Overcome Despite its promise, Edge AI faces four significant hurdles: Resource Constraints: Edge devices have limited processing power, memory, and energy
Security Vulnerabilities: Distributed endpoints create expanded attack surfaces
Standardization Gaps: Lack of unified standards creates interoperability issues
Development Complexity: Balancing model performance with resource efficiency requires specialized expertise Resource Constraints: Edge devices have limited processing power, memory, and energy Resource Constraints: Security Vulnerabilities: Distributed endpoints create expanded attack surfaces Security Vulnerabilities: Standardization Gaps: Lack of unified standards creates interoperability issues Standardization Gaps: Development Complexity: Balancing model performance with resource efficiency requires specialized expertise Development Complexity: Strategic Implementation Path For organizations exploring Edge AI in 2025, follow these steps: Audit applications for workloads where latency, privacy, or reliability is critical
Build hybrid architectures that balance edge and cloud capabilities appropriately
Develop data strategies that account for distributed processing
Start with focused pilots that demonstrate clear business value Audit applications for workloads where latency, privacy, or reliability is critical Audit applications Build hybrid architectures that balance edge and cloud capabilities appropriately Build hybrid architectures Develop data strategies that account for distributed processing Develop data strategies Start with focused pilots that demonstrate clear business value Start with focused pilots The Future Landscape Three key developments are shaping Edge AI's evolution today: 5G/6G + Edge Computing: With 5G widely deployed and 6G on the horizon, these ultra-low latency networks are enabling new classes of applications from autonomous systems to immersive AR/VR experiences
LLM-Powered Edge Intelligence: Foundation models optimized for edge deployment are bringing advanced reasoning capabilities to local devices
Democratized Development: Mature frameworks like TensorFlow Lite and specialized platforms are making Edge AI development accessible beyond elite ML teams 5G/6G + Edge Computing: With 5G widely deployed and 6G on the horizon, these ultra-low latency networks are enabling new classes of applications from autonomous systems to immersive AR/VR experiences 5G/6G + Edge Computing: LLM-Powered Edge Intelligence: Foundation models optimized for edge deployment are bringing advanced reasoning capabilities to local devices LLM-Powered Edge Intelligence: Democratized Development: Mature frameworks like TensorFlow Lite and specialized platforms are making Edge AI development accessible beyond elite ML teams Democratized Development: Final Thoughts The quiet surge of Edge AI represents a fundamental shift in how we deploy intelligence. As one senior architect put it: "The cloud remains essential for training and orchestration, while the edge is becoming the primary execution environment for AI in time-sensitive applications." "The cloud remains essential for training and orchestration, while the edge is becoming the primary execution environment for AI in time-sensitive applications." With the global edge computing market projected to reach $206.77 billion by 2032 and the U.S. market expected to hit $7.2 billion in 2025, organizations embracing this paradigm shift are unlocking capabilities impossible in cloud-only architectures. The edge isn't coming—it's already here, quietly rewiring intelligence as we know it. References A Beginner's Guide to AI Edge Computing - Flexential (2024)
What Is Edge AI? - IBM (2024)
Edge Computing Market Report - IMARC Group (2025)
Edge AI Market Size Report - Grand View Research (2024)
Edge Computing Market Expected to Reach $206.77 Billion - Yahoo Finance (2024) A Beginner's Guide to AI Edge Computing - Flexential (2024) A Beginner's Guide to AI Edge Computing What Is Edge AI? - IBM (2024) What Is Edge AI? Edge Computing Market Report - IMARC Group (2025) Edge Computing Market Report Edge AI Market Size Report - Grand View Research (2024) Edge AI Market Size Report Edge Computing Market Expected to Reach $206.77 Billion - Yahoo Finance (2024) Edge Computing Market Expected to Reach $206.77 Billion About the Author: I'm Jay Thakur, a Senior Software Engineer at Microsoft exploring the transformative potential of AI Agents. Combining experience building and scaling AI solutions across Microsoft, Amazon, and Accenture Labs with business education from Stanford GSB, I bring a unique perspective to the tech-business intersection. My mission is democratizing AI through accessible, impactful products that solve real-world challenges. As a speaker, educator, and emerging thought leader in the AI ecosystem, I share insights on frontier technologies including AI Agents, GenAI, quantum computing, humanoid robotics, and responsible AI development. Connect with me on LinkedIn and follow me on X. About the Author: About the Author: I'm Jay Thakur, a Senior Software Engineer at Microsoft exploring the transformative potential of AI Agents. Combining experience building and scaling AI solutions across Microsoft, Amazon, and Accenture Labs with business education from Stanford GSB, I bring a unique perspective to the tech-business intersection. My mission is democratizing AI through accessible, impactful products that solve real-world challenges. As a speaker, educator, and emerging thought leader in the AI ecosystem, I share insights on frontier technologies including AI Agents, GenAI, quantum computing, humanoid robotics, and responsible AI development. Connect with me on LinkedIn and follow me on X. LinkedIn X

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Every year, C-suite executives need to wade through endless forecasts to find technology that actually moves the needle. ELEKS's tech experts have dissected predictions from Gartner, IDC, Deloitte, and KPMG to separate signal from noise. But we didn't just compile a list—we applied our 30+ years of engineering expertise to evaluate each trend's real deployment risk and business value. Artificial Intelligence: No Longer Just Hype AI is becoming as fundamental as electricity or the internet. Both Gartner and Deloitte agree that in 2025, it's only getting bigger, especially with generative AI. It's evolving from a mere automation tool to the cornerstone of business strategy. generative AI Generative AI: Beyond the Chatbot ELEKS' expert evaluation: deployment risk: low; business value: high ELEKS' expert evaluation: deployment risk: low; business value: high low high The most significant shift is how GenAI is maturing and embedding itself in enterprise operations. It's not just about shiny new systems; it's also about breathing life into expensive legacy systems. According to Gartner, by 2028, generative AI will reduce the cost of modernizing legacy applications by 30% compared to 2023 levels. What's most interesting is how GenAI is changing workplace knowledge flow. Instead of digging through docs or bothering colleagues, workers can get answers instantly. Gartner reports that 75% of developers will use generative AI for learning new skills. Business benefits you can actually bank on: Business benefits you can actually bank on: ⚡ Efficiency boost: Let AI handle the boring stuff so humans can do the creative thinking 💰 Cost optimization: Automate processes, modernise legacy systems, and manage resources better 😎 Customer experience: AI-driven personalisation and 24/7 support that doesn't suck 🚀 Faster innovation: Test concepts and build prototypes faster, reducing time-to-market AI Agents: The Next Evolution ELEKS' expert evaluation: deployment risk: low; business value: high ELEKS' expert evaluation: deployment risk: low; business value: high low high Agentic AI should be the bullseye of our focus in 2025. Multi-agent workflows in particular, which are highly complex and require governance, should present a rich opportunity. — Alex Shegda, ELEKS’ VP of Technology Agentic AI should be the bullseye of our focus in 2025. Multi-agent workflows in particular, which are highly complex and require governance, should present a rich opportunity. — Alex Shegda, ELEKS’ VP of Technology Agentic AI should be the bullseye of our focus in 2025. Multi-agent workflows in particular, which are highly complex and require governance, should present a rich opportunity. — Alex Shegda, ELEKS’ VP of Technology Forget basic chatbots—enterprise AI agents are becoming sophisticated business tools. Here's what's coming: Increased autonomy: AI systems working as teams to manage complex tasks like supply chains without constant human babysitting
Superagents: Advanced multiagents that coordinate other AI systems across industries
Multimodal capabilities: Systems that can understand text, images, video, and 3D simultaneously
Spatial computing integration: AI that understands our natural behaviors without requiring specialized commands Increased autonomy: AI systems working as teams to manage complex tasks like supply chains without constant human babysitting Superagents: Advanced multiagents that coordinate other AI systems across industries Multimodal capabilities: Systems that can understand text, images, video, and 3D simultaneously Spatial computing integration: AI that understands our natural behaviors without requiring specialized commands Investors have poured over $2 billion into agentic AI startups in the past two years, focusing their investment on companies that target the enterprise market, says Deloitte. According to IDC, 50% of organizations will use enterprise agents configured for specific business functions instead of focusing on individual copilot technologies to achieve faster business value from AI. Business benefits of agentic AI: Business benefits of agentic AI: 🤖 Next-level automation: These agents don't just respond—they act independently based on goals 🧠 Smarter decisions: They collaborate and make independent decisions while allowing human oversight 🔄 Enhanced coordination: Superagents optimize how AI systems work together 🌐 Environmental adaptability: Combined with spatial computing, they understand context naturally 📱 LLMs optimisation: Enable large language models to run on small devices and offline Small Language Models: When Bigger Isn't Better ELEKS' expert evaluation: deployment risk: low; business value: high ELEKS' expert evaluation: deployment risk: low; business value: high low high We're seeing a shift toward smaller, specialized AI models designed for specific business needs. It's not about massive AI projects anymore—it's about practical integration into existing operations. Why SLMs Matter: Why SLMs Matter: 🚄 Efficiency: LLMs are resource hogs and overkill for simple tasks 🎯 Specialisation: SLMs can be trained on specific data for specific problems 🔒 Data privacy: Run on-device, reducing cloud dependency 🌱 Sustainability: Lower computing needs = smaller carbon footprint One challenge stands out in ~80% of cases related to modern GenAI technologies: the i/o validation of LLM-based agents. This leads to problems like users bypassing system instructions or retrieving hidden data through indirect prompt injections. Unfortunately, there's no single, effective solution yet. — Volodymyr Getmanskyi, Head of Data Science at ELEKS One challenge stands out in ~80% of cases related to modern GenAI technologies: the i/o validation of LLM-based agents. This leads to problems like users bypassing system instructions or retrieving hidden data through indirect prompt injections. Unfortunately, there's no single, effective solution yet. — Volodymyr Getmanskyi, Head of Data Science at ELEKS One challenge stands out in ~80% of cases related to modern GenAI technologies: the i/o validation of LLM-based agents. This leads to problems like users bypassing system instructions or retrieving hidden data through indirect prompt injections. Unfortunately, there's no single, effective solution yet. — Volodymyr Getmanskyi, Head of Data Science at ELEKS Cloud Computing: Evolution, Not Revolution The cloud landscape is transforming rapidly, bringing both new opportunities and challenges. FinOps: The CFO's New Best Friend ELEKS' expert evaluation: deployment risk: medium; business value: medium ELEKS' expert evaluation: deployment risk: medium; business value: medium medium medium Global cloud spending is expected to exceed $825 billion in 2025, as stated by Gartner. However, tracking and understanding cloud costs remain difficult. That's where FinOps comes in—tools and strategies that give you control over cloud spending. According to Deloitte, businesses could save up to $21 billion in 2025 by adopting FinOps tools and practices, with potential reductions of up to 40% in some cases. What's notable for 2025 is the shift from reactive cost management to proactive value optimisation. When properly implemented, FinOps provides C-suite leaders with real-time visibility into cloud ROI—something notably absent in traditional approaches. — Mykola Orlov, Head of DevOps at ELEKS What's notable for 2025 is the shift from reactive cost management to proactive value optimisation. When properly implemented, FinOps provides C-suite leaders with real-time visibility into cloud ROI—something notably absent in traditional approaches. — Mykola Orlov, Head of DevOps at ELEKS What's notable for 2025 is the shift from reactive cost management to proactive value optimisation. When properly implemented, FinOps provides C-suite leaders with real-time visibility into cloud ROI—something notably absent in traditional approaches. — Mykola Orlov, Head of DevOps at ELEKS FinOps benefits: FinOps benefits: 📊 Optimize resources: Ensure maximum value from every cloud dollar 💵 Cost transparency: See spending across services, regions, and accounts 📜 Regulatory compliance: Easier management of rules and requirements 🏃 Business agility: Align infrastructure with business objectives Hybrid Clouds ELEKS' expert evaluation: deployment risk: medium; business value: medium ELEKS' expert evaluation: deployment risk: medium; business value: medium medium medium According to Gartner, by 2025, 90% of organizations are expected to implement a hybrid cloud strategy. This isn't just about having both on-premises and cloud systems—it's about creating a seamless environment, optimising performance, cost, and security. Hybrid cloud advantages: Hybrid cloud advantages: 🔐 Better security: Keep sensitive data private while leveraging the public cloud for everything else 🎮 More control: Choose where and how applications run 🗺️ Data sovereignty: Keep sensitive data within specific geographic boundaries 🔄 IT flexibility: Allocate resources between private and public infrastructure as needed Edge Computing: The Need for Speed ELEKS' expert evaluation: deployment risk: low; business value: high ELEKS' expert evaluation: deployment risk: low; business value: high Edge computing continues to gain traction as businesses need faster data processing and real-time analytics. By 2025, edge computing is expected to process 55% of enterprise-generated data, according to Deloitte. Edge computing payoffs: Edge computing payoffs: ⚡ Instant processing: No more waiting for data to travel to distant servers and back 🔌 Smarter device management: Factory sensors and retail cameras work better than ever 🔏 Data privacy compliance: When data stays local, you worry less about where it travels 🌱 Sustainability: Reduced energy consumption and waste The best part? Edge devices now come with built-in AI capabilities (NPUs), making decisions without always checking in with the cloud. Think of it as having mini-computers everywhere, handling their own tasks while staying connected when needed. Cybersecurity Cybersecurity isn't just about protecting data—it's about staying competitive. — Oleksandr Pluzhnikov, Head of Cyber Security at ELEKS Cybersecurity isn't just about protecting data—it's about staying competitive. — Oleksandr Pluzhnikov, Head of Cyber Security at ELEKS The Evolving Threat Landscape AI integration in cybersecurity is a double-edged sword. While businesses use it for defense, attackers use GenAI for increasingly sophisticated attacks, creating convincing phishing campaigns and adaptive malware. Deepfakes make it harder to distinguish authentic communications from fraudulent ones. Ransomware remains one of the most significant threats, evolving from simple encryption attacks to sophisticated operations combining data theft with encryption. Compromised credentials create ripple effects throughout interconnected networks, especially in environments without robust multi-factor authentication. Defense mechanisms that actually work Defense mechanisms that actually work 40% of businesses will adopt DIY security solutions through AI-enabled automation, according to IDC. Companies are implementing Zero Trust Network Access (ZTNA) while security operations evolve toward semi-autonomous models where AI assists with alerts and threat prioritization. Cloud-native security information and event management (SIEM) solutions address unique cloud challenges, and organizations prepare for quantum computing threats with post-quantum cryptography. Success requires: Developing robust AI impact assessments
Building crypto-agile infrastructures
Fostering collaboration between security, technology, and legal teams Developing robust AI impact assessments Building crypto-agile infrastructures Fostering collaboration between security, technology, and legal teams Sustainability: Green Is the New Black In 2025, sustainability will take center stage across sectors, driven by climate change urgency, regulatory pressures, and the energy demands of AI and other technologies. By 2026, 60% of organizations are expected to use generative AI to create more detailed and operationally focused strategies for sustainable transformation. By 2027, 25% of organizations will use AI platforms to create digital twins of their supply chains, enabling the analysis of potential climate and weather-related risks. – IDC By 2026, 60% of organizations are expected to use generative AI to create more detailed and operationally focused strategies for sustainable transformation. By 2027, 25% of organizations will use AI platforms to create digital twins of their supply chains, enabling the analysis of potential climate and weather-related risks. – IDC Carbon-Free Energy & Sustainable Operations The intersection of energy transformation and business sustainability in 2025 is remarkable. As renewable power gains traction and nuclear energy addresses AI's growing demands, we're seeing a fundamental shift in energy strategies. GreenOps exemplifies this—companies aren't just tracking costs, they're integrating energy efficiency and carbon metrics into core business decisions. — Lyubomyr Matsekh, Sustainability Practice Lead at ELEKS The intersection of energy transformation and business sustainability in 2025 is remarkable. As renewable power gains traction and nuclear energy addresses AI's growing demands, we're seeing a fundamental shift in energy strategies. GreenOps exemplifies this—companies aren't just tracking costs, they're integrating energy efficiency and carbon metrics into core business decisions. — Lyubomyr Matsekh, Sustainability Practice Lead at ELEKS The intersection of energy transformation and business sustainability in 2025 is remarkable. As renewable power gains traction and nuclear energy addresses AI's growing demands, we're seeing a fundamental shift in energy strategies. GreenOps exemplifies this—companies aren't just tracking costs, they're integrating energy efficiency and carbon metrics into core business decisions. — Lyubomyr Matsekh, Sustainability Practice Lead at ELEKS The energy sector is transforming. Wind and solar have surpassed coal in annual US electricity generation, driven by customer demand, government regulations, and strategic investments. Nuclear energy is experiencing a renaissance, particularly for powering AI data centers. Small Modular Reactors (SMRs) and Advanced Modular Reactors offer promising solutions for clean, reliable power. "GreenOps" has emerged as an evolution of FinOps, introducing sustainability metrics into cloud management. Companies measure not just costs but also carbon footprint, making environmental impact a key factor in technology decisions. Regulations With Real Teeth The regulatory environment in 2025 has tightened, with the EU leading. The Digital Product Passport requires transparent records of products' environmental impact. The Corporate Sustainability Reporting Directive (CSRD) integrates sustainability into financial reporting, while the Sustainable Finance Disclosure Regulation (SFDR) ensures environmental risks are properly accounted for in financial practices. Companies are responding globally by implementing AI-informed carbon accounting software and integrating sustainability requirements into procurement processes. Understanding which technology trends hold genuine potential for your business requires more than market research. Drawing on over 30 years of software industry experience, our certified experts help you evaluate emerging technologies against your specific business context. Book a strategy session with the expert! Book a strategy session with the expert! Book a strategy session with the expert!

A Pragmatic Look at 2025 Technology Trends: What You Need to Know

2025-ci ilin Texnologiya Trendlərinə Praqmatik Baxış: Nəyi Bilməlisiniz

Pragmatický pohled na technologické trendy 2025: Co potřebujete vědět

Una mirada pragmática a las tendencias tecnológicas de 2025: lo que necesita saber

Unha ollada pragmática ás tendencias tecnolóxicas de 2025: o que debes saber

Egy pragmatikus pillantás a 2025-ös technológiai trendekre: mit kell tudni

2025 年のテクノロジートレンドの実際的な考察: 知っておくべきこと

პრაგმატული მიმოხილვა 2025 წლის ტექნოლოგიების ტენდენციებზე: რა უნდა იცოდეთ

2050 жылы «Технологиялық тенденциясы» – бұл нәрсе

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2025 ٹیکنالوجی کے رجحانات پر ایک عملی نظر: آپ کو کیا جاننے کی ضرورت ہے۔

O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z

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