Research
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HPE Updates Hardware, Private Cloud And Networking For Agentic AI Era
The cloud never captured every enterprise workload — and AI won’t be any different. Roughly 35–50% of workloads have migrated to public cloud in 15+ years, with cost, regulation, and data sovereignty keeping the rest on-premises. The same forces are shaping AI infrastructure decisions today. At HPE Discover 2026, HPE announced sovereign AI and private…
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The Enterprise AI Time Bomb Is Ticking. Cisco Shares Its Plan.
Cisco delivered a stark security warning at its Cisco Live keynote. AI is compressing attack timelines from weeks to minutes, agents are creating unmanaged attack surfaces, and most enterprises lack the governance infrastructure to respond. Here is what technology leaders need to know.
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Moving Beyond Building AI Agents With IBM’s Suzanne Livingston
Enterprises have agents. Most can't run them at scale. IBM's Suzanne Livingston explains what changes when you have hundreds — not two. Full Show Notes Scaling agentic AI is not the same problem as building it. At IBM Think 2026 in Boston, I sat down with Suzanne Livingston, VP of Product for IBM watsonx Orchestrate,…
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The New AI Math: Time-to-Token and Cost-per-Token Gets Highlighted at Dell Technologies World
With token consumption projected to grow 3,400% by 2030, how enterprises build and measure AI infrastructure is no longer a technical decision. It is a strategic one. Dell Technologies World Day One showed what the right architecture looks like — and what it costs to get it wrong.
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Dell Shares AI Advances And New Metrics To Evaluate Infrastructure
Agentic AI systems require 100 to 1,000 times more computation than a simple query. That changes the economics of every infrastructure decision. At Dell Technologies World, Michael Dell made the case for measuring AI infrastructure differently — and announced the data, ecosystem, and cooling architecture to support it.
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Four Types of AI Agents With Dell’s John Roese. Most Enterprises Are Only Building One
Dell's CTO built a 4-category agent framework from real production deployments. Most enterprises are ignoring two of the categories that matter most. Full Show Notes Enterprise leaders are mapping AI agents to org charts — building digital employees, agentic teams, AI workers — and then wondering why the results fall short. Dell's Global CTO John…
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AI Has A Business Context Problem.
Vodafone, Ericsson and Google share insights at an SAP event on business context for AI.
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Why Enterprises Need an AI Operating Model | IBM Think 2026
Most enterprises are using AI. Far fewer are running their business on it. IBM’s Think 2026 announcements — spanning agentic development, agent governance, real-time data, security remediation, and sovereign infrastructure — are built around that gap. This analysis examines what IBM announced, what problems it solves, and what remains hard for enterprise buyers.
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Harness Engineering, Orchestration, and Compound Agents: The Enterprise AI Vocabulary You Need To Know
What enterprise leaders can learn from LangChain, Thinking Machines Lab, Perplexity, Cursor, NVIDIA and Reflection AI founders about the AI system architecture, harness engineering, orchestration and agentic systems.
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AI Success Requires Redesigning the Future of Work
Cisco’s Systematic Approach to Redesigning Processes for the Future of Work Offers a Blueprint for Enterprise Leaders Struggling with AI ROI Originally posted in the March 6, 2026 “AI Decoded With Maribel Lopez” LinkedIN newsletter that discusses AI and the future of work for enterprise leaders. Most enterprises are layering AI tools on top of…
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Amazon Connect Is Now a Family of Products That Adds Agentic AI to CX, HCM, Supply Chain and Healthcare
Amazon Connect is no longer a contact center only product. It’s a family of four agentic AI solutions targeting customer experience, supply chain, hiring, and healthcare. The branding logic is sound. But enterprise buyers running SAP, Workday, or Oracle have real questions about integration and displacement that AWS must address.
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Google Splits Its TPU Chip in Two. Here’s Why That Decision Matters for Enterprise Buyers.
Google’s 8th-gen TPUs split training and inference into two chips. Here’s what it means for enterprise AI infrastructure strategy in 2026.
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Managing a Fleet of Thousands of Agents Is the Real Problem. Google Cloud Showed Its Answer.
Enterprises spent 2025 building AI agents. The challenge in 2026 is governing, monitoring, and scaling fleets of them without losing control. Google’s Gemini Enterprise Agent Platform — which consolidates both Vertex AI and Agentspace — is its answer to that problem. Here’s what the announcement means for enterprise buyers and the three questions to ask…
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Scaling AI with Proven Strategies and Frameworks
Learn how Yum Brands navigates the complexities of scaling AI across global locations and diverse use cases.
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Three AI Trends That Change Jobs
Learn about AI trends shaping the future of work and software transformation, with insights from Sam Altman at the Cisco AI Summit
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Four Enterprise AI Spending Pitfalls and How to Avoid Them
Enterprise AI spending is rising fast. Discover four common investment pitfalls and how to ensure your AI strategy delivers measurable business value.
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The New Rules for Scaling AI: What Yum Brands Learned
Picking a use case, proving value, and expanding has been the standard starting point for enterprise AI. For organizations early in their AI journey, that advice still holds. But for large enterprises that are past the pilot stage and trying to scale across business units, geographies, and brands, it isn't enough. At NVIDIA GTC, Cameron…
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Physics AI Explained: Why Hardware Design Requires a Different Kind of AI
Not every AI problem is a language problem. I talk with Vinci CEO Hardik Kabaria about what changes when AI has to reason about the physical world. Full show notes Most of the AI conversation in enterprise circles is about large language models — text, code, maybe images. This episode is about something different: what…
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NemoClaw, OpenClaw, and the Real Reason Enterprises Haven’t Deployed AI Agents Yet
NVIDIA’s NemoClaw adds enterprise security to OpenClaw. What it does, what it doesn’t, and what CIOs should do before deploying. FULL SHOW NOTES OpenClaw became the fastest-growing open-source project in history. Enterprise buyers watched from the sidelines — not because the technology wasn’t useful, but because an autonomous agent with access to corporate file…
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Beyond Models and GPUs: Why Enterprise AI Libraries Matter
By Maribel Lopez NVIDIA GTC 2026 Part 2. Everyone is talking about AI hardware and AI models, but companies need more than that to make AI deployable in the enterprise. Let’s talk about enterprise AI libraries. Enterprise AI spending has grown eightfold over the past three years. The ambition is real. So is the frustration.…
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NemoClaw Gives Enterprise AI Agents The Security Layer They’ve Been Missing
The NVIDIA GTC announcement of the NemoClaw stack addresses one of the real reasons enterprises haven’t deployed AI agents at scale — and one vendor’s alternative to address those concerns. OpenClaw became the fastest-growing open-source project in history while enterprise buyers watched from the sidelines. Not because the technology wasn’t interesting. It is. Not because…
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