Is the Cloud Too Expensive for Agentic AI? Dell Bets on Localized Tokens
Brad Shimmin and Nick Patience share their insights on Dell’s expansion of the Dell AI Factory with NVIDIA, exploring how localized agentic infrastructure and data partnerships provide a secure alternative to unpredictable public cloud costs.
Precision Over Prose: Why SAP Knowledge Graph is the Secret to Production-Ready AI
Brad Shimmin, VP and Practice Lead at The Futurum Group, explores SAP’s major data-centric announcements at Sapphire 2026. He analyzes how the new SAP Knowledge Graph and SAP-RPT-1.5 aim to bridge the context gap for agentic workflows.
Memgraph Zero Sidesteps the Data Movement Grind to Give AI Agents Immediate Context
Brad Shimmin, Vice President and Practice Lead at Futurum, shares insights on Memgraph Zero and MemGQL. This federated graph engine addresses the integration complexity bottleneck currently stalling agentic AI.
Microsoft Agent 365 Turns Shadow AI Into a Governed Asset Class
Keith Kirkpatrick, VP & RD, Enterprise Software, and Brad Shimmin, VP & Practice Lead, Data Intelligence and Analytics, examine Microsoft Agent 365’s general availability and analyze how the cross-platform control plane governs AI agents across Microsoft, AWS, and Google Cloud environments.
Can ServiceNow’s Autonomous AI Foundation Finally End the Enterprise ETL Tax?
Brad Shimmin at Futurum explores ServiceNow’s major architectural shift toward a real-time data foundation. This update rearchitects the platform for the era of autonomous agents, collapsing the wall between operational and analytical data.
Tableau Dismantles the BI Dashboard With a Graph-Powered Leap Into Headless, Agentic Analytics
Brad Shimmin, Research Director at Futurum, analyzes Tableau’s leap to agentic analytics, leveraging a Knowledge Engine grounded in 33 million semantic models to drive autonomous, closed-loop enterprise actions.
Can SAP Finally Kill the ETL Monster? The Dremio and Prior Labs Acquisition Explained
Brad Shimmin, analyst at Futurum, analyzes SAP’s major move to acquire Dremio and Prior Labs. This strategic play addresses the core challenges of enterprise data fragmentation and specialized AI reasoning for the agentic era.
Microsoft Q3 FY 2026 Earnings Show Cloud Growth, With Capacity Still Tight
Brad Shimmin and Futurum Research analyze Microsoft Q3 FY 2026 earnings, focusing on cloud demand, Azure capacity constraints, Copilot usage intensity, and the shift toward user plus usage commercial models.
Engineering Determinism: Lovelace AI Seeks to Replace Naive RAG with Enterprise-Scale Context Engines
Brad Shimmin, VP and Practice Lead at Futurum, explores the launch of Lovelace AI and its Elemental platform. Discover how this new enterprise context engine uses knowledge graphs and entity resolution to replace the failures of probabilistic AI in mission-critical environments.
From Silicon to Security: Architecting the Autonomous Enterprise at Google Cloud Next 2026
Brad Shimmin, Nick Patience, Brendan Burke, and Fernando Montenegro analyze the Google Cloud Agentic Strategy from Next 2026. They explore how Gemini Enterprise, the Virgo network, and the Wiz integration are moving the market from passive AI to autonomous systems of action.
The Great Pragmatic Pivot: Why Enterprises Are Trading AI Vibes for Technical Receipts
Brad Shimmin, Research Director at Futurum, reveals key findings from the 1H 2026 Data Intelligence survey, showing a move from broad AI hype to pragmatic technical task automation in documentation and coding.
Going Beyond the Data Graveyard With Google’s Agentic Data Cloud as the New Semantic Core for Agentic AI
Brad Shimmin, Analyst at Futurum, shares his insights on Google’s new Agentic Data Cloud. See how this shift from passive storage to active intelligence helps organizations ditch manual data plumbing and let their AI actually get to work.
