Category: Software Lifecycle Engineering

Claude Fable 5 Is Most Consequential Where Software Is Built
June 10, 2026

Claude Fable 5 Is Most Consequential Where Software Is Built

Mitch Ashley, VP and Practice Lead for AI-Native Software Engineering at Futurum, shares his insights on why Claude Fable 5 is most consequential for software engineering and development pipelines....
Microsoft Build 2026 - The Platform, Integration Plane, and Developer Surface
June 4, 2026

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...
IBM and Red Hat Bet $5B on Curating the Open Source Supply Chain
June 3, 2026

IBM and Red Hat Bet $5B on Curating the Open Source Supply Chain

Mitch Ashley, VP and Practice Lead for Software Lifecycle Engineering at Futurum, shares his insights on IBM and Red Hat's $5 billion Project Lightwell and what a curated open source...
HP Q2 FY 2026 Earnings Emphasize AI PC Mix Shift Amid Cost Pressure
June 1, 2026

HP Q2 FY 2026 Earnings Emphasize AI PC Mix Shift Amid Cost Pressure

Futurum Research reviews HP’s Q2 FY 2026 earnings, focusing on AI PC mix shift, pricing and configuration actions, and how memory cost pressure shapes second-half execution....
Synopsys Q2 FY 2026: AI-Driven Chip Design Demand Lifts Outlook
June 1, 2026

Synopsys Q2 FY 2026: AI-Driven Chip Design Demand Lifts Outlook

Futurum Research reviews Synopsys Q2 FY 2026, focusing on AI-driven demand across EDA, IP, and simulation, plus updated FY 2026 targets and monetization direction....
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....
Can Google's AI Threat Defense Set the Pace for Enterprise Cyber Defense?
May 28, 2026

Can Google’s AI Threat Defense Set the Pace for Enterprise Cyber Defense?

Fernando Montenegro and Mitch Ashley, VPs at Futurum, analyze Google Cloud's Google AI Threat Defense, an autonomous platform uniting Wiz, Mandiant, CodeMender, and Gemini to automate vulnerability discovery and remediation...
PyTorch Kernel Fusion: The Hidden Engine Behind Lightning-Fast Model Compilation
May 28, 2026

PyTorch Kernel Fusion: The Hidden Engine Behind Lightning-Fast Model Compilation

PyTorch's Inductor compiler leverages kernel fusion to dramatically speed up model execution by minimizing memory operations and kernel launch overhead. Essential insights for IT leaders scaling GenAI infrastructure....
Tabnine's Visionary Status: Does Context-Driven AI Coding Redefine Enterprise Software Delivery?
May 23, 2026

Tabnine’s Visionary Status: Does Context-Driven AI Coding Redefine Enterprise Software Delivery?

Tabnine achieved Visionary status in Gartner's 2026 Magic Quadrant for Enterprise AI Coding Agents, signaling a shift toward governed, context-aware platforms that prioritize organizational constraints over raw productivity....
Google IO Did Google Just Ship the Full AI Stack
May 22, 2026

Google I/O: Did Google Just Ship the Full AI Stack?

Mitch Ashley, VP and Practice Lead at Futurum, shares his analysis of whether Google just shipped the AI full stack at I/O 2026 and where the architectural gap remains....
Bedrock Advanced Prompt Optimization Cuts the Cost of Model Switching
May 19, 2026

Bedrock Advanced Prompt Optimization Cuts the Cost of Model Switching

Mitch Ashley, VP and Practice Lead at Futurum, shares his insights on how Amazon Bedrock Advanced Prompt Optimization converts model switching from a manual project into a configuration choice....
OpenAI Daybreak Aims For The Agentic AppSec Workflow
May 19, 2026

OpenAI Daybreak Aims For The Agentic AppSec Workflow

Mitch Ashley, VP and Practice Lead at Futurum, shares his insights on OpenAI Daybreak and how GPT-5.5 model tiers and Codex Security position OpenAI for AppSec workflow ownership in AI-native...

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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