From Storage to Action: Why Autonomous AI is Forcing a Database Revolution

Brad Shimmin at Futurum shares his insights on how the shift to autonomous, read-write AI agents is forcing legacy databases to evolve. Discover why strong consistency, multi-tiered memory, and speculative branching are the new mandatory benchmarks.
Data Gravity in the Age of AI: Engineering the Mission-Critical Engine for Autonomous Workloads

In our latest report, Data Gravity in the Age of AI: Engineering the Mission-Critical Engine for Autonomous Workloads, completed in partnership with Oracle, Futurum Research explores why fragmented data architectures are limiting enterprise AI progress and how Oracle AI Database 26ai provides a unified foundation for scalable, secure, and operationally consistent agentic AI.
Microsoft Build 2026 – The Platform, Integration Plane, and Developer Surface

Futurum Analysts Ashley, Kirkpatrick, Patience, and Shimmin analyze Microsoft Build 2026 across models, agents, data intelligence, governance, and silicon as Microsoft positions itself as the platform, the integration plane, and the developer surface.
Snowflake Summit 2026: Four Infrastructure Bets That Determine Whether the Agentic Enterprise Delivers

Brad Shimmin, VP and Practice Lead at Futurum, shares insights on Snowflake’s four infrastructure bets—Cortex Sense, Iceberg v3, Datastream, and Adaptive Compute—that will determine the success of the agentic enterprise.
41.3% of Enterprises Default to Cloud-Provider Catalogs as AI Infrastructure Choices Splinter Across Four Layers

Futurum’s Brad Shimmin, VP of Data Intelligence, Analytics & Infrastructure, notes AI infrastructure fragmented in 1H 2026. Cloud catalogs (41.3%), basic RAG (59.4%), and an even vector DB split reveal a market lacking architectural consensus.
Curing Agentic Hallucinations: DataHub’s Answer to the AI Context Gap

Brad Shimmin breaks down the release of DataHub Cloud v1 and explores how its automated context platform cures AI analytics hallucinations by feeding agents pre-validated, expert-approved business logic.
Starburst’s Intelligence Platform Sets Out to Tame the Multi-Cloud AI Wilderness

Brad Shimmin, VP and Practice Lead at Futurum, shares his insights on Starburst’s new Enterprise Intelligence Platform, exploring how federated data access and Managed Icehouse are solving the unpredictable cloud costs of agentic AI.
Alteryx ONE Forges a Deterministic Path Through the Enterprise AI Wilderness

Brad Shimmin at Futurum shares his insights on Alteryx’s latest platform updates, exploring how injecting deterministic business logic into Alteryx ONE may solve the enterprise AI governance crisis and empower the modern data analyst.
Breaking Data Gravity: Google’s Play for a Composable Agentic Ecosystem

Brad Shimmin at Futurum unpacks the data announcements from Google I/O 2026, exploring how the Antigravity platform and open protocols drive an evolution away from monolithic data architectures and toward composable, agentic intelligence.
Informatica Unbundles the Monolith: Headless Data Management Meets the Agentic Enterprise

Brad Shimmin, Senior Analyst at Futurum, shares his insights on Informatica’s architectural evolution into a headless data management platform, highlighting how new MCP integrations and the Agent Fabric Context Catalog provide vital context for autonomous AI.
Taming the Agentic Data Center: Inside Dell’s High-Density AI Platform and Exascale Expansion

Brad Shimmin shares his insights on day two of Dell Technologies World 2026, exploring how the new Dell AI Data Platform, Lightning parallel file system, and PowerStore Elite provide the critical active storage foundation for the Dell AI Factory.
The No-Compromise AI Foundation: Oracle Reimagines the Database for the Agentic Era

In this report, completed in partnership with Oracle, Futurum Research examines why production-scale agentic AI requires a secure, converged, data-resident foundation built for real-time context, persistent memory, and open data portability.
