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A new Massachusetts Institute of Technology study puts hard numbers on catastrophic AI risk. ☠️ Specifically, experts claimed that 18 of the 24 AI risk categories have over a 10% chance of catastrophic outcomes. Normally, this would cause intensive regulatory scrutiny. But AI governance is still in early stages. While many regulatory frameworks have emerged around the world, most are voluntary or principle-based, with limited enforcement. So, most governments are still trying to figure out how to oversee AI in practice. And the MIT raises an even bigger question: Do AI governance efforts respond to the full range of risks or primarily to those that align with existing security frameworks? ✍️ Kinza Yasar dives deeper into why expert warnings aren't translating into regulatory action and enterprise governance. 🔗 : https://bit.ly/44bJvHw #AI #AIgovernance #AIregulations #AIscrutiny #AIrisks #AIsecurity #AIchallenges #AIresearch #MIT #MITresearch #TechRegulations #EnterpriseAI

⛰️ Enterprises are hitting a plateau with AI productivity. This is commonly due to poor strategy, leadership gaps and insufficient change management. So, what can IT leaders do about it? To start, they must stop treating AI deployments like typical technology implementations. Organizations can't just buy and deploy the tools and immediately witness a successful transformation. Organizations can no longer assume all employees are natural innovators or deploy AI to be like everybody else. AI requires fundamental change. ✍️ Jim O'Donnell explores this concept further. 🔗 : https://bit.ly/3RRXwYl #EnterpriseAI #AIplateau #AIskills #AI #AIstrategy #ITleadership #ITstrategy #CIO #CIOstrategy #EnterpriseIT

💰 What does a CX buying committee look like these days? (Hint: It's not just contact center leaders.) These days, several stakeholders in an organization have input into CX technology buying decisions. They include IT, finance, legal, executives and lines of business, with different insights or concerns on the tech investment. In order for these assorted but integrated entities to reach a consensus on a buying decision, CX vendors need to illustrate the different value propositions for each stakeholder. That's a tough job. But CX vendors need to understand enterprises' tech-buying committee approach. ✍️ Jon Arnold addresses this topic in his latest tip. 🔗 : https://bit.ly/4fG2mBK #ContactCenters #CustomerExperience #CX #CXleadership #CXstrategy #CustomerService #CXbuying #CXinvestments #ITinvestment #ITbudgets

🤕 Have you ever imagined a world where IT systems can heal themselves? Well, you're in luck, because we're living in it. IT environments are growing in complexity, so organizations must evolve past traditional automation for resilience, reduced downtime and decreased operational strain. Self-healing IT systems can find and fix problems with minimal human intervention, with the help of AI, automation and real-time observability. They can also reduce downtime, improve security and scale operations across hybrid environments. So, what does it take to reach this self-healing state? ✍️ Damon Garn dives deeper into this concept. 🔗 : https://bit.ly/43lF78H #IToperations #ITleadership #SelfHealingIT #EnterpriseIT #EnterpriseAI #ITautomation #EnterpriseTech #ITobservability

This week's TechTarget Bulletin newsletter looks at the hot topic of data centers. Speaking of hot, data centers can run pretty hot -- that's why this week we're featuring a few articles on data center energy management and cooling. We also highlight AI data centers, data center ROI and look at the features of hyperscale data centers. Also, learn about the latest trends in data center design and construction. Pretty cool stuff. #DataCenters #DataCenter #DataCenterEnergy #AIDataCenters #TechTargetTips

Last week, Databricks introduced new capabilities, such as Genie Ontology to connect agents with needed context and cost control measures, that aim to aid AI development. 🧱 Here are some other capabilities the vendor announced: ✔️ Lakehouse//RT, an evolution of its data lakehouse. ✔️ Cost control capabilities. ✔️ Integrations with AI security platforms. ✔️ AI monitoring and investigative capabilities. These new capabilities aim to address problems that many organizations face as they attempt to modernize with AI agents. ✍️ Eric Avidon has all the updates and analysis you need. 🔗 : https://bit.ly/4vfhwm9 #Databricks #GenieOntology #DatabricksGenie #AIagents #AgenticAI #TechNews #ITnews #DataManagement #AIdata #AIsecurity #DataStrategy

🌐 Is it possible to move AI compute closer to where data is generated to cut down on power demand? Meet edge computing. By definition, edge computing processes client data at the periphery of the network, as close to the source as possible. This is compared to cloud computing, which requires data to travel to a distant server, when then uses more power. Edge AI can enhance sustainability, as it reduces data transmission energy, optimizes local processing and minimizes cooling needs. However, edge computing is not a panacea to all the technology's sustainability problems. ✍️ Sean M. Kerner dives deeper on edge computing and AI. 🔗 : https://bit.ly/4fwrfja #EdgeComputing #EdgeAI #AIsustainability #BusinessSustainability #CorporateSustainability #AIstrategy #AIworkloads #AI #ITstrategy #ITsustainability

What's 🆕 with AWS? Amazon Web Services (AWS) launched new agentic AI services during its AWS Summit New York conference this week, all geared toward helping enterprise organizations keep pace with the speed of AI development. On the latest episode of IT Ops Query, Beth Pariseau caught up with AWS VP of agentic AI Deepak Singh to discuss these updates, how AWS ensures quality and reliability for agentic AI systems through its AgentCore system and other tools, and how enterprises can get the most out of AI use. Get the full episode here or wherever you find podcasts: https://bit.ly/4a0AVir

From Utah to Chile, people around the world are opposing data center development in their communities. What does this mean for businesses, their IT teams and even the vendors they work with? How does this affect businesses that plan to invest in and expand their AI initiatives? We just published a collection of articles all about this topic: 🤝 Julie Hanson wrote about how data center operators are shifting toward community engagement strategies that prioritize transparency, sustainable energy and cooling approaches, and proactive communication with local stakeholders: https://lnkd.in/gy2uxjXS 🌳 Susan Fogarty grapples with balancing AI enthusiasm and its climate reality, as AI workloads and data center expansion increase environmental footprints faster than efficiency gains can offset: https://lnkd.in/ghDpagk4 📅 Rosa Heaton interviews an expert about how the next year will bring increased scrutiny around AI data center operations, with growing pressure for transparency in energy consumption, environmental impact and community effects: https://lnkd.in/gfTUAKsr 🔄 Kashyap Kompella, CFA instructs CIOs on how to embed energy and community impact awareness into technology sourcing decisions, treating sustainable IT procurement as a core responsibility rather than optional initiative: https://lnkd.in/g-AAUshd TechTarget #AI #AIDataCenter #AIsustainability #CorporateSustainability

AWS unveiled a new FinOps Agent in public preview and added granular cost attribution capabilities for Amazon Bedrock at FinOps X 2026. The FinOps Agent lets users ask questions about cloud spending in plain language and helps identify unusual costs and potential savings. The Bedrock update gives organizations a clearer view of who or what is driving AI costs. Read the full story here: https://lnkd.in/efM7Qw-i TechTarget -- FinOps Foundation -- Amazon Web Services (AWS) #AWS #FinOps #FinOpsX