The Open Lakehouse Imperative: Delivering AI Value Without Compromise
In The Open Lakehouse Imperative: Delivering AI Value Without Compromise, a report commissioned by Oracle, Futurum Research explains why many lakehouse stacks still force tradeoffs—and what a truly open, multi-cloud, high-performance approach looks like for enterprise AI.
Storage Evolved: Everpure Takes on Data Challenges for an AI World
Brad Shimmin, VP and Practice Lead at Futurum, shares his insights on Pure Storage’s rebrand to Everpure as well as its supportive acquisition of 1touch.io, exploring why dropping “Storage” is a strategic move to conquer the AI data intelligence market and what it means for enterprise CIOs.
Semantic Layer Set to Become the Next Piece of Critical Infrastructure
Brad Shimmin, VP and Practice Lead at Futurum, details why the Semantic Layer is projected to double its growth to 30% by 2031, becoming the critical “dictionary” that prevents Agentic AI from hallucinating business metrics.
Quest Builds an Automated Factory to Manufacture Enterprise Trust in Data
Brad Shimmin, Vice President & Practice Lead, Data Intelligence, Analytics, and Infrastructure at Futurum, shares his insights on Quest Software’s new Trusted Data Management Platform. This report explores how Quest’s “Automated Data Product Factory” aims to solve the enterprise trust crisis and accelerate AI adoption by slashing data engineering cycles and unifying governance.
ServiceNow Buys Pyramid: Does this Spell the End of the BI Dashboard?
Brad Shimmin, VP and Practice Lead at Futurum, along with Keith Kirkpatrick, Vice President & Research Director, Enterprise Software & Digital Workflows, analyze ServiceNow’s acquisition of Pyramid Analytics. They explore how integrating a governed semantic layer and direct query engine transforms ServiceNow into a “System of Intelligence” for the Agentic AI era, bridging the gap between insights and operational action.
OpenAI Frontier: Close the Enterprise AI Opportunity Gap—or Widen It?
Futurum Research Analysts Mitch Ashley, Keith Kirkpatrick, Fernando Montenegro, Nick Patience, and Brad Shimmin examine OpenAI Frontier and whether enterprise AI agents can finally move from pilots to production. The analysis explores governance, trust, and the race to control the agent platform layer.
Teradata Set to Turn Data Gravity Into AI Gold With Enterprise AgentStack
Brad Shimmin, Vice President and Practice Lead at Futurum, analyzes Teradata’s launch of Enterprise AgentStack. He explores how Teradata is leveraging data gravity and robust governance to bridge the “production gap” for Agentic AI in the enterprise.
Snowflake Acquires Observe: Operationalizing the Data Cloud
Brad Shimmin, VP & Practice Lead at Futurum, examines Snowflake’s intent to acquire Observe and integrate AI-powered observability into the AI Data Cloud.
$1.2T Data Market by 2031: Agentic AI Replaces Data Pipelines
Futurum Analyst Brad Shimmin forecasts the Data Intelligence market to surpass US$1.2T by 2031. The study reveals a capital rotation from legacy plumbing to “Agentic” control planes, driving 19%+ growth in Semantic Layer and Observability.
Navigating the Shift to Production AI in 2026
Brad Shimmin, VP and Practice Lead at Futurum, analyzes the shift to production AI, predicting the rise of the “AI Shepherd,” the necessity of the Semantic Layer, and why the DIAI market is set to hit $475B in 2025.
The Semantic Layer Wars: Why BI Must Remain the Center of Gravity for Trusted AI
Brad Shimmin explains why the semantic layer is moving from dashboards to AI reasoning engines. Learn why BI teams are the essential Insight Engineers tasked with stopping AI hallucinations through governed data logic.
Five Key Reasons Why Confluent Is Strategic To IBM
Brad Shimmin and Mitch Ashley at Futurum, share their insights on IBM’s $11B acquisition of Confluent. This bold move signals a strategic pivot, betting that real-time “data in motion” is the essential nervous system for enterprise AI and hybrid cloud.
