Decision Intelligence in 2026: How AI Is Closing the Insight-to-Action Gap
Decision Intelligence is emerging as the foundation of enterprise AI, enabling organizations to combine Generative AI, Agentic AI, and real-time analytics to accelerate decision-making, improve governance, and drive digital transformation.
How Toyota Rewrote Its Global Supply Chain: One Micro-Transformation at a Time
Ascentt’s micro-transformation approach lifted Toyota’s forecast accuracy 5–10% and extended its planning horizon from three months to a full 52 weeks, without a multi-year programme.
The Lights-out Decade: What Automotive Leaders Told Us Behind Closed Doors at Reuters Events: Automotive Europe 2026
At Reuters Events: Automotive Europe 2026, Ascentt hosted «The Lights-out Decade», a closed-door roundtable with OEM and Tier 1 executives, led by Founder & CEO Nilesh Vyas. The honest takeaway: AI transformation isn’t stalling for lack of technology. It’s stalling for lack of preparation. Here’s what the industry’s decision makers told us and what it means for the decade ahead.
How Ascentt’s Focused AI Bets Became Toyota’s Global Demand Forecasting Platform
Micro-transformation over mega-programmes. The inside story of how Ascentt partnered with Toyota Motor North America to build a reusable, global-scale AI engine and one precise use case at a time.
Build Any Agent You Imagine: Without Depending on Anyone Else’s Infrastructure
Reimagining Agent Creation with Self-Sufficient and Prompt-Driven Automation
The Real Manufacturing AI Opportunity Isn’t on the Factory Floor
When AI removes labour cost as a competitive variable, geography stops being a moat. What replaces it will decide who leads the next decade of manufacturing.
How a Global OEM Cut AI Infrastructure Costs by 25% and Moved Faster
Fragmented tooling and ungoverned infrastructure were constraining the company’s AI ambitions. Ascentt consolidated the environment into a single, governed platform, delivering material cost reduction and a measurable improvement in development velocity.
Why Enterprises Generate More Data Than They Can Trust and What to Do About It
A clear guide for enterprise leaders on why data volumes outpace trust and how to build a strong data foundation for analytics and AI readiness.
From Pilot to Production: How Enterprise AI Actually Scales in Manufacturing
Ascentt CEO Nilesh Vyas shares how global manufacturers are scaling AI beyond pilots — from Agentic Manufacturing Command Centers to 50,000-user deployments and AI-native GCCs.
The AI-Native Manufacturing Command Center: From Dashboard to Decision
Manufacturing Command Center acts as a single source of truth that evolves the concept of a “monitoring screen” into an AI-Native, Agentic Decision-Making Platform.