Eric Jewett

Agentic AI workflows - are we at a chicken/egg crossroads? As Stephen Bigelow writes for Informa TechTarget, and others have pointed out, the real opportunity lies in orchestration, breaking down tasks, assigning them to the right agents, and ensuring they run smoothly across systems. To get to the other side? Agentic AI is only as effective as the data and content it can trust. If the information feeding those agents is siloed, inconsistent, or poorly governed, the workflow stumbles. The conversation around agentic AI has to include secure content platforms that ensure the right data is available, governed, and contextualized for the workflow. AI is powerful when it’s built on clean, well-managed, and secure content. https://lnkd.in/esWpjGF2 #AgenticAI #Collaboration #DigitalWorkplace #ContentGovernance #FutureOfWork

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Great article form Steve McDowell in Forbes on how pre-built AIStor pods remove enterprise AI scaling bottlenecks: https://lnkd.in/dBqAB77F As Steve says, "MinIO takes a compelling approach with its AIStor Pod with Supermicro that demonstrates how infrastructure vendors can accelerate enterprise AI adoption by removing operational friction. The company is just getting started"

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From Hammurabi’s first code of laws to Aristotle’s virtue ethics, from Kant’s categorical imperative to Asimov’s three laws of robotics, Ethics has been at the heart of human questioning for thousands of years. In fact, every era in our history has wrestled with its own moral and ethical dilemma.   Today, ours is Artificial Intelligence.   #AI systems and #agents are learning, reasoning, and are on the verge of acting independently. They are influencing our decisions and may soon shape our societies. As this technology evolves, so must our ethical frameworks.   Ethics is not an add-on to innovation but a condition for its success.   Our own AI ethicists and experts explored this topic in depth in one of our latest publications. If you share the importance of Ethics, I invite you to read their thoughts, but here are my main takeaways:  💠 Ethics is not compliance — laws tell us what we can do; ethics reminds us what we should do. 💠 AI ethics is a team exercise — It must be embedded, not delegated, becoming everyone’s responsibility, from engineers to executives and ethicists. 💠 Trust is the new frontier — the real measure of progress will be whether society continues to trust what we create. True innovation has never been measured by what technology can do, but by what humanity chooses to do with it. So our task now is to ensure that the systems we build reflect the values we stand for. Take a look at what our AI Futures Lab published on the matter: https://lnkd.in/d-uux_UY

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The Information has a great read for anyone around #AI and #AIDataCenters. That being the early, yet persistent, move from a # SaaS/user/seat pricing to #UsageBased pricing. As hard as this might be to apprecaite this actually good for the sector. The record breaking investment over the past years has the market finally forcing #financialdiscipline and actual #ROI focused #investments and #contracts. The biggest outstanding question is whether these changes can take effect in time to avoid the potential financial meltdown if contract breakage and revenue leaks happen from defaults. What do you think? #management #venturecapital #privateequity #capitalmarkets #AI #AIInvestments https://lnkd.in/ewxJP6vN

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A great read from Adam Seligman, Workato's CTO and GM, in MIT Sloan Management Review! He explains why MCP, the “universal port” for AI, isn’t yet enterprise-ready, and what’s needed to get there: governance, identity, and process depth. We’re already executing on that vision with Workato's Enterprise MCP, bringing the security, orchestration, and resilience enterprises need for AI agents to operate safely. 📖 Dive into the insights: https://lnkd.in/eaSBertR #EnterpriseMCP #MCP #AIAgents #AI

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Happy World Quantum Day 🧪 Quantum computing will unlock extraordinary possibilities—but it also has the potential to undermine the cryptography that secures today’s internet. Keyfactor CTO, Ted Shorter, discusses the race between trust and technology, and where to start preparing today in this blog: https://okt.to/5H9Bpf #WorldQuantumDay #PostQuantum #Cybersecurity #Cryptography

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With #AutonomousDatabase Select AI, you can now use models from Amazon Bedrock and OpenAI-compatible APIs, making it easier to integrate and optimize #genAI for the best results and price performance in your applications. https://lnkd.in/gKb3bbfV

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AI innovation is reshaping infrastructure, operations, and trust across industries. In today's highlights, we see transformative partnerships, targeted automation, and enhanced security measures driving the next wave of business efficiency and reliability: - OpenAI & Broadcom to deploy 10GW of AI accelerators for scalable, efficient computing: https://lnkd.in/gT27dFxE - Liberate’s $50M funding to power AI agents in insurance back offices, streamlining claims and service: https://lnkd.in/gQEt-dvB - Visa’s Trusted Agent Protocol secures AI-powered shopping, authenticating agents and blocking bots: https://lnkd.in/g4hC6C_Z #AI,#Infrastructure,#InsurTech,#Fintech,#Cybersecurity

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AgenticSpace from UBIX.AI Think of Agentic AI agents not as simple tools, but as trusted colleagues who embed themselves into the enterprise fabric. Rather than existing as detached applications, they integrate seamlessly into the enterprise stack and operate in tandem with human teams across various functions. This integration transforms how organizations perceive intelligence: agents are not external utilities but active, collaborative partners that help shoulder complex operational responsibilities within a framework of security, governance and compliance.

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The brightest minds in APIs and AI gathered in New York City for Kong Inc.'s API Summit. A key theme? The critical role APIs play in enabling AI connectivity. Kong's CEO and Co-Founder, Augusto Marietti, recapped API Summit in his recent blog. It highlights key sessions from Kong leaders and celebrities, customers like BMW, United Airlines and Prudential who shared their API and AI successes, and the winners of the 2025 Innovator and Partner Awards. It also outlines the product announcements made at API Summit: a new solution to monetize APIs, AI models, and data streams, MCP Gateway and Konnect MCP support, an agentic AI co-pilot for Kong Konnect, and many more. Check out his blog here. Then, sign up to get updates about API Summit 2026 in San Francisco: https://bit.ly/4qf800r

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AI in retail keeps getting more exciting. Microsoft Fabric is opening the door to stronger data intelligence and more resilient operations. In our recent blog, Stibo Systems is breaking down what that means for us and retailers in our new blog: https://bit.ly/4cuGrvB If you’re looking to get more value from your data and build a foundation that supports real AI progress, this is a great place to start.

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From pre-launch testing to real-time mission support, Blue Origin is leveraging the AWS cloud's capabilities to accelerate space exploration.

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The GenAI problem most enterprises face is a gap between experimentation and enterprise operations. Without reproducibility, lineage, cost controls, and shared ownership, pilots stall and risk spikes. Learn to close that gap by connecting intent to outcomes. 📖 https://gag.gl/ZcWIqQ

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Anthropic’s MCP design flaw may turn trusted AI integrations into an RCE pathway across the supply chain. One architectural weakness appears to have cascaded into thousands of servers, popular frameworks, and millions of downstream downloads. https://lnkd.in/gN7aUvnP

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We’re releasing Magentic Marketplace from the AI Frontiers team at Microsoft Research—an open simulation to study how AI agents discover, negotiate, and transact at market scale. The New Stack captured the “why”: agents will change how the world works, and we have a responsibility to understand these systems—and what can go wrong—before broad deployment. Read more: https://lnkd.in/gQyHiyHb #AgenticAI #MicrosoftResearch #AIFrontiers #OpenSource #AIResponsibility

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Today, we’re announcing new partnerships with Microsoft and NVIDIA. Claude is now available to Azure customers through Microsoft Foundry, making Anthropic the only frontier model family on all three leading clouds. Customers need platform choice and capacity to scale, and this partnership delivers both. Microsoft is committing up to 1 GW of compute (with more to come) and integrating Claude into Microsoft 365 and GitHub Copilot, bringing our models directly into tools millions use daily. We're also announcing that Microsoft and NVIDIA are investing up to $5 billion and $10 billion respectively. This begins a deep technology partnership with NVIDIA to optimize our models for peak performance and efficiency on future NVIDIA architectures. Thank you Satya Nadella and Jensen Huang for your partnership.

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