Category: AI Platforms

Provisioned Throughput Redefines Open Model Inference Economics and Predictability
July 8, 2026

Provisioned Throughput Redefines Open Model Inference Economics and Predictability

Together AI's Provisioned Throughput offers enterprises reserved inference capacity, token-based pricing, 99% uptime SLA, and up to 90% cost savings, addressing critical production AI concerns....
July 7, 2026

IBM Mockup

Will Apple’s New Siri AI Deliver on the Promise of Apple Intelligence?
July 7, 2026

Will Apple’s New Siri AI Deliver on the Promise of Apple Intelligence?

Olivier Blanchard, Research Director at The Futurum Group, examines how Siri AI transforms Apple Intelligence from a feature set into a systemwide layer for apps, workflows, and user experiences across...
Can ASUS Bring Data-Center-Class AI Infrastructure to the Deskside
July 7, 2026

Can ASUS Bring Data-Center-Class AI Infrastructure to the Deskside?

Olivier Blanchard, Research Director at The Futurum Group, examines how ASUS is bringing data-center-class AI infrastructure to the deskside with the ExpertCenter Pro ET900N G3 and what its local AI...
Does Qodo's Codebase-Wide Enforcement Redefine What 'AI Code Review' Means?
July 7, 2026

Does Qodo’s Codebase-Wide Enforcement Redefine What ‘AI Code Review’ Means?

Qodo's full codebase context approach positions it as a pre-merge quality gate, addressing enterprise reliability concerns that have slowed AI adoption in software engineering workflows....
Qualcomm's Snapdragon Reality Elite Ups the Stakes for Spatial AI
July 6, 2026

Qualcomm’s Snapdragon Reality Elite Ups the Stakes for Spatial AI

Olivier Blanchard, Research Director & Practice Lead, Intelligent Devices at Futurum, Qualcomm's Snapdragon Reality Elite positions the chipmaker as a spatial AI leader, enabling on-device processing for mixed reality experiences....
SAP's Dremio Acquisition
July 6, 2026

SAP’s Dremio Acquisition Provides Agentic AI Data Foundation

Keith Kirkpatrick, Vice President & Research Director, Enterprise Software & Di at Futurum, SAP's Dremio acquisition strengthens its Business Data Cloud and agentic AI roadmap, enabling analytical workloads across SAP...
NVIDIA DSX Promises More Revenue per Gigawatt. Who Actually Captures It?
July 6, 2026

NVIDIA DSX Promises More Revenue per Gigawatt. Who Actually Captures It?

Brendan Burke, Research Director at Futurum, analyzes how NVIDIA's DSX design and revenue sharing model increase token efficiency and capture recurring value from AI infrastructure deployments....
Why AI Coding Costs Are Spiraling: Context, Not Usage, Is the Real Culprit
July 6, 2026

Why AI Coding Costs Are Spiraling: Context, Not Usage, Is the Real Culprit

As enterprise AI moves into production, organizations face a cost crisis. New analysis shows bloated AI coding bills stem from insufficient codebase context, forcing leaders to rethink ROI measurement strategies....
Is AI Ready for Real Work, or Are Enterprises Still Stuck in Experimentation?
July 4, 2026

Is AI Ready for Real Work, or Are Enterprises Still Stuck in Experimentation?

Most enterprises claim advanced AI maturity, but lack governance and deployment strategies. Leading organizations are moving from experimentation to measurable AI impact....
Compliance as Code Is No Longer Optional: Why Manual Reviews Can’t Keep Up
July 4, 2026

Compliance as Code Is No Longer Optional: Why Manual Reviews Can’t Keep Up

Qodo's 'Compliance as Code' framework automates enterprise AI compliance through PR checks, solving the data privacy and security gaps that plague manual reviews at scale....
Databricks AI’s GPU Reliability Push Exposes Hidden Risks for Large-Scale Training
July 3, 2026

Databricks AI’s GPU Reliability Push Exposes Hidden Risks for Large-Scale Training

Databricks AI reveals critical GPU reliability challenges in distributed training environments. Silent slowdowns and numerical corruption pose greater risks than visible failures, threatening model quality and compute efficiency at enterprise...

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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