Practice Area
Data Intelligence
Enterprise data is the lifeblood of business. No endeavor, whether a simple order-to-cash process or a complex, agentic AI solution, can survive without timely access to accurate, high-quality, secure, and governed data. As we move into 2026, the market is pivoting from experimentation to engineering, demanding a stack that is not just “AI-ready” but explicitly architected to accelerate AI.
Analysts covering Data Intelligence
All practice areas
Brad Shimmin
Vice President & Practice Lead, Data Intelligence, Analytics, & Infrastructure
Fernando Montenegro
Vice President & Practice Lead, Cybersecurity & Resilience
Guy Currier
Chief Analyst, Visible Impact & Research Director, Ecosystems, Channels, & Marketplaces
Keith Kirkpatrick
Vice President & Research Director, Enterprise Software & Digital Workflows
Nick Patience
Vice President & Practice Lead, AI Platforms
Latest insights
All Data Intelligence insightsVAST DataEnclave Unifies Proprietary Models and Sensitive Enterprise Data
Brad Shimmin, VP and Practice Lead at Futurum, analyzes how VAST DataEnclave leverages NVIDIA Confidential Computing to manage proprietary AI models and sensitive data as unified operating system resources.
Salesforce Bets on Silicon Synergy and Metadata to Make Business AI Practical
Brad Shimmin, industry analyst at The Futurum Group, analyzes how Salesforce and NVIDIA designed the Koa CRM reasoning model to solve inference economics and defend platform data gravity.
Everforth ECS Lands $58M CPSC Data BPA: Federal AI Readiness on the Line
Everforth ECS secured a prime position on the CPSC's $58M Data Solutions BPA and captured the first $1.7M task order, positioning the Fairfax-based firm as a key player in federal civilian data modernization, cloud engineering, and AI/ML enablement.
Cisco and NVIDIA Bring Splunk AI to Enterprises
Fernando Montenegro, VP at The Futurum Group, shares insights on Splunk AI, the Cisco–NVIDIA partnership, and enterprise requirements for hybrid deployment.
Salesforce and Google Cloud Expand Access to CRM Workflows
Keith Kirkpatrick, Research Director at The Futurum Group, examines Salesforce’s Google Cloud expansion and the tests ahead for enterprise workflows and commerce.
Can AWS and Salesforce Turn Connected Data Into Better Execution?
Keith Kirkpatrick, Research Director at The Futurum Group shares insights on AWS and Salesforce’s expanded integrations and the tests that matter for enterprise adoption.
Four Straight: What phData's dbt Streak Reveals About AI Readiness
phData earns its fourth consecutive dbt Visionary Partner of the Year award, demonstrating practice-wide commitment to analytics engineering and data governance as the foundation for enterprise AI readiness and scalable transformation.
FIS Targets Banking's Biggest Infrastructure Cycle in Decades
FIS capitalizes on three forces reshaping banking: de novo charter resurgence, accelerating M&A consolidation, and large-bank modernization, securing core banking for a $100B+ institution and five new charters in 1H 2026.
Alteryx and Golden Analytics Unite Governance With AI-Native Analytics
Alteryx and Golden Analytics partner to combine governed data workflows with AI-native analytics, targeting enterprise demand for generative AI tools in the booming Data Intelligence market.
Will CDW’s Lovelytics Acquisition Close Its AI Delivery Gap?
Tiffani Bova, Chief Strategy and Research Officer at The Futurum Group, examines CDW’s Lovelytics acquisition, its data and AI capabilities, and the work ahead on integration.
Cloudera and Mistral AI Deliver Sovereign Private Intelligence
Brad Shimmin, VP and Practice Lead at Futurum, analyzes how Cloudera’s partnership with Mistral AI brings sovereign AI and local model fine-tuning to hybrid and air-gapped enterprise data estates.
Snowflake Q2 FY 2027: CoCo and CoWork Expand AI Consumption
Futurum Research analyzes Snowflake’s Q2 FY 2027 earnings, focusing on AI-led consumption, CoCo adoption, CoWork growth, and raised FY 2027 guidance.
Research Reports
All Data Intelligence reportsFrom Pilots to Production: Why Agentic AI Runs Through the Ecosystem
In its latest report, From Pilots to Production: Why Agentic Transformation Runs Through the Ecosystem, published in partnership with Google Cloud, Futurum Research examines why enterprise AI spending keeps climbing while production and measured ROI lag behind, and why closing that gap runs through…
Elevate AI Agent Quality With Active, Intelligent Context
In its latest blueprint, Elevate AI Agent Quality with Active, Intelligent Context: How Informatica Plugin grounds Claude reasoning in trusted data, completed in partnership with Salesforce, Futurum Research examines why context blindness is the leading barrier to production-ready agentic AI, and…
Escaping Data Gravity and Infrastructure Debt: Why the AI Era Demands an Agentic Data Cloud
In its latest report, Escaping Data Gravity and Infrastructure Debt , completed in partnership with Google Cloud, Futurum Research examines how decoupled data architectures are driving up costs and operational overhead for enterprise AI, and how a natively integrated, serverless data cloud helps…
Operationalizing Autonomous AI: Architecting the Agentic Enterprise on a Converged Data Foundation
In its latest report, Operationalizing Autonomous AI: Architecting the Agentic Enterprise on a Converged Data Foundation, completed in partnership with Snowflake, Futurum Research examines why enterprises must move beyond bolted-on AI applications and adopt a natively governed, multi-cloud data…
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…
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.