Ashiss Dash’s Post

🌍 Green Tech & Sustainable Computing – The Future of Innovation The tech sector is growing rapidly—but so is its footprint. From AI algorithms that guzzle power to global data centers, innovation drives progress at the cost of the environment. 📊 The scale of the problem: - Data centers already use close to 2% of global electricity (International Energy Agency), and that figure is rising. - E-waste reached 62 million tons in 2024 (UN Environment Programme), much of it unrecycled. - Training large AI models can release as much CO₂ as five cars over their lifetime (University of Massachusetts study). Sustainability is no longer optional—tech sustainability is a business need. 💡 Green Computing trends: ✅ Power-saving chips – ARM-based and neuromorphic architectures cut power requirements significantly. ✅ Data center innovation – liquid cooling, waste-heat recovery, and carbon-free operation pledges by Google & Microsoft. ✅ Green hardware – modular phones, biodegradable components, and alternatives to rare-earth minerals. ✅ Future advances – self-healing materials, ultra-low power AI, sustainable blockchain. 🌱 ESG and regulations are setting new standards. Investors favor firms with strong sustainability practices, while laggards risk reputational and operational challenges. 🚀 The Bottom Line: Green tech isn’t just about climate—it’s about saving money, boosting efficiency, and staying competitive long-term. At TechSurgeAI, we continuously monitor global research and insights to help companies adopt greener tech solutions—whether it’s AI optimization, energy-efficient systems, or smarter infrastructure planning. 👉 The greener businesses will capture tomorrow’s market. #GreenTech #Sustainability #AI #TechSurgeAI #FutureOfTech

We Can’t Fix What We Can’t Measure 💭 My curiosity — is your organization exploring digital MRV yet in making data collection more transparent and automated? Lately, I have been thinking about how much of our sustainability progress still depends on estimates and spreadsheets. We set bold climate goals and publish ESG reports. But when you dig deeper — how accurate is the data behind those numbers? How confident are we that what we report truly reflects what is happening on the ground? This is becoming a real concern across the sustainability community. With new disclosure regulations (CSRD, SEC rules, etc.) and growing investor scrutiny “good intentions” are not enough anymore. We need verifiable, validation, transparent data and process strengthening. That is where Digital Measurement, Reporting and Verification (dMRV) is changing the game. Using a mix of IoT sensors, AI analytics, satellite imagery, and blockchain, dMRV allows organizations to track emissions, energy use and resource impacts in real time and automatically verify the results. Data is the base. Trust in the data we share. Trust from regulators and investors. Trust from customers who care about real impact. Good news - To summarize, sustainability used to be about ambition. Now it is about accuracy and digital MRV is the game-changer making that possible. As companies race toward net-zero, those who embrace dMRV early will lead with data-driven transparency and competitive credibility.

I had the privilege of being part of the World Power-to-X Summit 2025, an event dedicated to the future of renewable energy, a project held 𝘂𝗻𝗱𝗲𝗿 𝘁𝗵𝗲 𝗛𝗶𝗴𝗵 𝗣𝗮𝘁𝗿𝗼𝗻𝗮𝗴𝗲 𝗼𝗳 𝗛𝗶𝘀 𝗠𝗮𝗷𝗲𝘀𝘁𝘆 𝗞𝗶𝗻𝗴 𝗠𝗼𝗵𝗮𝗺𝗺𝗲𝗱 𝗩𝗜, guided by Samir RACHIDI and supported by saadia chouay, whose leadership made this possible. One of the most enlightening moments for me was bringing AI into discussions with attendees. We debated passionately, each defending our own field, until we realized that collaboration between disciplines and with AI can create new solutions and unlock possibilities. We were also reminded that AI and computing power require huge energy, which makes the conversation about sustainable energy even more urgent. At the same time, it became clear that AI has enormous potential to accelerate progress in energy technologies. By analyzing vast amounts of data, identifying patterns, and simulating complex systems, AI can amplify human insight, connect expertise across disciplines, and propose solutions that would take decades of manual research to discover. In other words, bright minds, when empowered by AI, can leverage the cumulative knowledge of decades of research in one place, exploring scenarios, testing hypotheses, and making informed decisions faster than ever. It’s a glimpse of how human creativity and computational intelligence together can drive transformative innovation. And now I cannot stop reflecting on which data we should feed AI in this context to unlock its full potential for a sustainable and innovative future. #ai4good #ai #energy #green #ptx #sustainable #data #iresen #morocco #morocco2030

🌍 Call for Papers: Thematic Section on Production Engineering Towards Carbon Neutrality 🌍 We are excited to announce a Call for Papers for the Production journal’s upcoming thematic section: Production engineering towards carbon neutrality: Advancing research, innovation, and societal impact 📌 Submission deadline: December 31, 2025 This thematic section invites cutting-edge research on how Production Engineering can drive the global transition to carbon neutrality—through technological innovation, green supply chains, circular economy practices, policy frameworks, and social inclusion. Key topics include (but are not limited to): ⚡ Innovative decarbonization technologies 🏭 Low-carbon products and manufacturing 🔗 Green supply chain management 🌱 Circular economy & carbon offsetting 👥 Social and workforce implications 📊 Complex systems modelling 🤝 Multi-stakeholder collaboration 💡 Digital innovations (IoT, AI, blockchain) The section is guided by an outstanding team of international Guest Editors and aims to provide actionable strategies for academia, practitioners, and policymakers, aligned with the UN Sustainable Development Goals and the Paris Agreement. 📖 For author guidelines, visit: https://lnkd.in/dGG6-a4C ✍️ Submit your manuscript via: https://lnkd.in/dRepmQDF (select “Thematic Section - Production engineering towards carbon neutrality: Advancing research, innovation, and societal impact”). Let’s work together to advance the science and practice of sustainable production systems and accelerate the path to a carbon-neutral future. 🌿✨ Ana Paula Paes Leme Barbosa Vinicius Picanço Rodrigues Daniel Guzzo Prof. Jose Arturo Garza-Reyes Dr Simon Peter Nadeem Eduardo Zancul Roberta de Castro Souza Piao Marly Monteiro de Carvalho Tiago F. A. C. Sigahi Rodrigo Caiado Engenharia de Produção - PRO POLI USP ABEPRO #CallForPapers #CarbonNeutrality #ProductionEngineering #Sustainability #Innovation #Research

🌱 𝘾𝙖𝙣 𝙩𝙝𝙚 𝙛𝙪𝙩𝙪𝙧𝙚 𝙤𝙛 𝙩𝙚𝙘𝙝 𝙖𝙡𝙨𝙤 𝙗𝙚 𝙨𝙪𝙨𝙩𝙖𝙞𝙣𝙖𝙗𝙡𝙚? IT already contributes 3.4% 𝙤𝙛 𝙜𝙡𝙤𝙗𝙖𝙡 𝙜𝙧𝙚𝙚𝙣𝙝𝙤𝙪𝙨𝙚 𝙜𝙖𝙨 𝙚𝙢𝙞𝙨𝙨𝙞𝙤𝙣𝙨, with AI, crypto, and data centers consuming nearly 2% 𝙤𝙛 𝙩𝙝𝙚 𝙬𝙤𝙧𝙡𝙙’𝙨 𝙚𝙡𝙚𝙘𝙩𝙧𝙞𝙘𝙞𝙩𝙮. This new whitepaper by Jai Prakash and Thomas Huchedé breaks down what Green IT really means — and how every organization can start making sustainability a measurable part of their digital strategy. Inside: ✅ Key concepts & real-world challenges ✅ Practical steps for greener software & infrastructure ✅ How FinOps + GreenOps align cost, carbon & performance Because digital transformation made us faster — now it’s time to make it 𝙨𝙢𝙖𝙧𝙩𝙚𝙧 𝙖𝙣𝙙 𝙢𝙤𝙧𝙚 𝙨𝙪𝙨𝙩𝙖𝙞𝙣𝙖𝙗𝙡𝙚. 📘 Download “𝘼 𝘽𝙚𝙜𝙞𝙣𝙣𝙚𝙧’𝙨 𝙂𝙪𝙞𝙙𝙚 𝙩𝙤 𝙂𝙧𝙚𝙚𝙣 𝙄𝙏” to explore how technology can help, not hurt, our planet. [Link in comments] #GreenIT #Sustainability #TechForGood #Cloud #AI #DigitalTransformation #Zenika #Codetheworld | Zenika

The 4 Investment Themes Set to DOMINATE 2026: Forget chasing yesterday's returns. The next wave of wealth will be driven by four mega-trends, with AI at the core. 1.AI Infrastructure & Applications: The shift is from pilots to high-impact apps. Invest in the hardware (chips/compute) and the applied AI solutions in sectors like Healthcare and Cybersecurity. 2.Energy Transition (Climate Tech): Green infrastructure, renewables, and, crucially, Critical Minerals needed for the global battery revolution. 3.Quantum Computing: Highly speculative, but the "next big thing" after AI. Focus on hardware and solutions for pharmaceutical/logistics optimization. 4.Global Diversification: Look beyond traditional core markets. Ex-US Equities and Gold remain essential hedges against uncertainty. Firms like Inlogic are already aligning their strategy to this AI-first future. Are you? #InvestmentStrategy #FutureOfFinance #AI #ClimateTech #2026Outlook #inlogic

Powering Sustainable AI Brief Overview: #ArtificialIntelligence [AI] is scaling fast, but so are its energy, carbon and water bills. Powering #SustainableAI introduces the Sustainable AI Quotient [SAIQ], a practical way to measure how efficiently AI turns resources and dollars into outcomes using tokens as the common unit of work. It also shows why this matters now: AI data center power demand could reach the equivalent of a #G7nation by 2030 and water use will climb sharply unless we change course. The opportunity is to grow performance while shrinking footprint through smarter silicon, cleaner infrastructure, right-sized models and governance-as-code. Key takeaways: 1. Measure what matters: Adopt the Sustainable AI Quotient [SAIQ] to track tokens per dollar, per megawatt-hour, per tonne of CO2e and per cubic meter of water. Tie SAIQ to executive scorecards so efficiency is managed like uptime and latency. 2. Put smart silicon to work: Shift workloads to processing-in-memory and compute-in-memory, use lightweight Mixture-of-Experts models, lower precision such as FP8 and deploy at the edge when latency and cost demand it. Expect meaningful gains in throughput and energy per token. 3. #Decarbonize #datacenters: Locate capacity where grids are cleaner, schedule jobs when energy is greenest, upgrade to liquid and water-wise cooling and match consumption with 24 by 7 carbon-free power. Monetize idle #GPUs to cut waste and cost. 4. Use AI thoughtfully: Do not default to a #LargeLanguageModel [LLM]. Right-size with task models and Retrieval-Augmented Generation [#RAG]. Prioritize use cases that cut emissions in operations such as #HVAC optimization, logistics and grid balancing. 5. Embed governance-as-code: Instrument real-time energy and carbon telemetry with OpenTelemetry and Prometheus, encode sustainability #guardrails with policy-as-code and adopt carbon-aware scheduling across clouds and regions. Make sustainability a runtime decision, not a quarterly report. The Bottom line: You cannot scale performance if you cannot scale responsibly. Use SAIQ to decide where each token should run, on what hardware, at what time and at what environmental cost & make those choices visible to the business. Question for our #LinkedIn #community: If you had to move one lever in the next quarter to lower your #SAIQ, would you start with smarter silicon, carbon-aware scheduling or right-sizing models & how will you measure tokens per dollar and per megawatt-hour after the change #AI #Sustainability #DataCenters #CloudComputing #AURORA9

At Climate Week NYC, one debate dominated the room: Will AI derail corporate climate strategies—or accelerate them? NVIDIA’s head of sustainability argued that AI could actually reduce emissions by modernizing the grid, helping integrate renewables and improve efficiency. It’s a reminder that technology itself isn’t the problem—it’s how we deploy it. As companies double down on AI, the challenge is to ensure its energy footprint aligns with net zero goals. The opportunity? Use AI not as an excuse for delay, but as a catalyst for smarter, faster decarbonization.

🌍 The Boardroom Revolution Nobody's Talking About The era of ESG reporting as a compliance checkbox is over. Today's governance leaders are wielding technology not as a record-keeper, but as a truth-teller and it's transforming how organisations prove their commitments matter. A decade ago, tracking supply chain emissions meant spreadsheets, phone calls and educated guesses. Today, blockchain networks trace carbon footprints across continents in real-time, while artificial intelligence flags ethical risks before they become headlines. The question is no longer whether to adopt these tools but how fast you can deploy them before your stakeholders and competitors leave you behind. The most forward-thinking organisations are deploying satellite imagery to verify deforestation claims, using machine learning to audit diversity metrics for unconscious bias and implementing IoT sensors that make energy waste impossible to hide. These aren't futuristic concepts. They're happening now, quietly separating leaders from laggards. Technology alone is meaningless. The organisations winning the ESG governance race aren't just buying software they're embedding transparency into their culture. They're using dashboards that make sustainability data as accessible as financial reports. They're creating feedback loops where frontline workers can flag governance issues through mobile apps and where algorithms detect patterns human oversight might miss. Yet innovation without accountability is theater. The same AI that can optimise resource allocation can also be trained to make companies look sustainable rather than be sustainable. The risk? A new breed of greenwashing, more sophisticated and harder to detect than ever before. This is where leadership matters. Technology should amplify human judgment not replace it. They make it harder to hide, easier to measure and impossible to ignore when words and actions diverge. The transformation isn't coming, it's here. The companies that will define the next decade of ESG governance are the ones treating technology as a lever for radical transparency, not cosmetic improvement. What's your organisation's next step? Because in a world where stakeholders can verify your claims with a few clicks, the only sustainable strategy is the truth. 💡 The future of governance isn't about better reporting. It's about making the right thing the easiest thing to do. #ESG #Sustainability #CorporateGovernance #TechForGood #Innovation #Leadership #ClimateAction #ResponsibleBusiness #DigitalTransformation #Transparency #FutureOfWork #ESGTech

"I look at AI as this new, emerging technology...I think it's going to be more disruptive because it's happening faster," Mary de Wysocki, Chief Sustainability Officer at Cisco, said at the #ForbesSustainabilityLeaders Summit. https://lnkd.in/enMC3nzW