Category: Data Intelligence, Analytics, & Infrastructure

Is Liquid Clustering the End of Partitioning for Data Lakehouses?
June 3, 2026

Is Liquid Clustering the End of Partitioning for Data Lakehouses?

Databricks' Liquid Clustering challenges traditional data partitioning, promising superior speed, scalability, and efficiency—potentially reshaping how enterprises manage petabyte-scale analytics and AI workloads....
Anthropic Files For IPO, Looking to Beat OpenAI to the Punch
June 2, 2026

Anthropic Files For IPO, Looking to Beat OpenAI to the Punch

Nick Patience, VP & Practice Lead at Futurum, examines Anthropic’s confidential IPO filing — what the financial data available so far tells us, and what public investors will need to...
Curing Agentic Hallucinations: DataHub’s Answer to the AI Context Gap
June 2, 2026

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
June 2, 2026

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...
Workday and Google Integrate HR and Finance AI Agents into Gemini Enterprise
June 2, 2026

Workday and Google Integrate HR and Finance AI Agents into Gemini Enterprise

Keith Kirkpatrick, Research Director at Futurum, examines how the Workday Google Cloud partnership brings governed AI agents, enterprise data, and HR and finance workflow execution into Gemini Enterprise....
Can LinkedIn's PyTorch-Powered DuaLip Redefine Web-Scale Optimization?
June 2, 2026

Can LinkedIn’s PyTorch-Powered DuaLip Redefine Web-Scale Optimization?

LinkedIn re-architected its DuaLip distributed linear programming solver using PyTorch and GPU acceleration, enabling order-of-magnitude performance gains to solve optimization problems across hundreds of millions of users....
Snowflake Q1 FY 2027: AI Products Drive Faster Consumption Growth
June 1, 2026

Snowflake Q1 FY 2027: AI Products Drive Faster Consumption Growth

Futurum Research reviews Snowflake’s Q1 FY 2027 results, focusing on AI product adoption, core consumption signals, and what raised guidance implies for enterprise AI workloads....
NetApp Q4 FY 2026: AI Deployments Accelerate High-Performance Storage Demand
June 1, 2026

NetApp Q4 FY 2026: AI Deployments Accelerate High-Performance Storage Demand

Futurum Research analyzes NetApp’s Q4 FY 2026 earnings, focusing on AI-driven infrastructure demand, hybrid cloud execution, public cloud mix, and what FY 2027 guidance implies for growth durability....
Databricks Lakebase Database Branching Promises to End Developer Bottlenecks
May 31, 2026

Databricks Lakebase Database Branching Promises to End Developer Bottlenecks

Databricks launches copy-on-write database branching in Lakehouse, enabling developers to instantly create production-scale branches at negligible cost, eliminating long-standing productivity bottlenecks....
Databricks' Model Units Redefine LLM Inference Economics, But Can Reliability Scale?
May 29, 2026

Databricks’ Model Units Redefine LLM Inference Economics, But Can Reliability Scale?

Databricks introduces 'model units' to revolutionize LLM inference, delivering 80% GPU cost reductions while maintaining reliability for agentic AI workloads. Futurum Group analyzes implications for hyperscalers and enterprise buyers....
Databricks and Health Samurai Aim to End Healthcare’s Data Fragmentation Problem
May 28, 2026

Databricks and Health Samurai Aim to End Healthcare’s Data Fragmentation Problem

Databricks and Health Samurai launched a FHIR-native platform standardizing clinical data from multiple formats, eliminating ETL processes while enabling real-time analytics and compliance....
Alteryx ONE Forges a Deterministic Path Through the Enterprise AI Wilderness
May 26, 2026

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...

Welcome

The vision behind everything in Futurum’s Custom Research practice is this: research should show you what is happening, what comes next, and what to do about it. It should be personal to each audience, easy for people to grasp, and structured so LLMs can reason over it accurately. And it should be fast and turnkey; you want answers now, not another project to carry for quarters.

Whether you are defining business, channel, or go-to-market strategy; evaluating vendors or justifying ROI; or commissioning research to fill an emerging market need, we have your back, with a program that answers your questions with the objectivity and credibility to drive real decisions.

To do it, we bring unmatched data to bear: Futurum research, surveys, and market projections; validated market feeds; ETR’s 15 years of insight from 10,000 technology decision-makers; G2’s buyer and user data; and what our analysts hear every day. Add leading primary collection, from AI-moderated voice interviews to surveys and analyst-led interviews, all turnkey, and every project comes out credible, nuanced, and actionable.

And we don’t just drop the results in your lap. For internal work, we provide analyst-led sessions, interactive dashboards, and a range of formats. For market-facing work, Futurum delivers turnkey activation and amplification that actually gets seen, by people and by LLMs, through our media and share of voice. This is research that moves decisions and markets.

We will meet you wherever you are, from a fast-turn brief to a multi-year program, and shape the work to your goals, timeline, and budget. The right program for your moment.

If any of this is useful, I would love to talk.

Benjamin Brown, VP Custom Research, Futurum Research

Benjamin Brown

VP, Custom Research · The Futurum Group

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