From Experimentation to Execution: Platform Engineering for Scalable Generative AI
In our latest thought leadership report, From Experimentation to Execution: Platform Engineering for GenAI, completed in partnership with Red Hat, Futurum Research covers why enterprise GenAI initiatives stall before reaching production and outlines the platform engineering practices organizations need to convert AI investment into repeatable business outcomes.
The Orchestrator: Who’s Conducting Your Enterprise?
In our latest thought leadership report, The Orchestrator: Who’s Conducting Your Enterprise?, completed in partnership with IBM, Futurum Research examines why AI capability has outpaced enterprise coordination – and why naming an orchestrator, not buying another platform, is what will separate enterprises that compound advantage from those that institutionalize fragmentation over the next 12–18 months.
Palantir Q2 FY 2026 Earnings Surge on US Commercial AI Demand
Mitch Ashley, VP and Practice Lead, CIO & Technology Buyers and Software Lifecycle Engineering at The Futurum Group, reviews Palantir’s Q2 FY 2026 earnings, 149% US commercial growth, the AI sovereignty thesis, and a raised full-year outlook.
Atlassian Fuses the Agent Work Surface, Workflow, and Control Plane Into Jira
Mitch Ashley, VP and Practice Lead at Futurum, shares his insights on how Atlassian fused the agent work surface, workflow, and control plane into Jira, with Teamwork Graph as the source of truth, binding all three.
NVIDIA’s Open Secure AI Alliance Bets Open Models Beat Closed Ones on Defense
Futurum’s Nick Patience, Fernando Montenegro, and Mitch Ashley unpack NVIDIA’s Open Secure AI Alliance and why the labs missing from it may matter more than the 35 that joined.
So This Is How AIs Attack: Observations From the OpenAI & Hugging Face Incident
Fernando Montenegro and Mitch Ashley, VPs at Futurum, read the OpenAI and Hugging Face agentic incident as a live test of enterprise readiness to detect and contain AI agents that go off-goal at machine speed.
The AI Stack: How Vendors Are Composing AI Strategy
Futurum’s Mitch Ashley shares insights on the durable eight-layer AI stack and six emerging archetypes that help vendors and decision-makers interpret AI strategy commitments in a rapidly evolving market.
Selling Agent Provenance to the CIO: Entire Changes Who Signs
Futurum stakes a position on Entire’s distributed Git launch: agent provenance is the control point, the mirror network is the wedge, and the decision moves to the CIO. The analysis maps displacement, threats, and what vendors must bring to the sale.
Software Lifecycle Engineering Market to Reach $226 Billion by 2030 as Enterprise Hands AI the Keyboard Before the Guardrails
Futurum’s 2H 2026 Software Lifecycle Engineering research sizes the market at $226 billion by 2030 and finds AI now runs the majority of the software lifecycle, while 75% of organizations report AI-contributed production incidents.
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
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 the developer surface.
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 supply chain means for enterprises.
