Uploaded June 2026 | Updated September 2026, 2 weeks ago
[2026 - DAY 3 - APPLIED AI] Most enterprise AI initiatives do not fail because models are weak. They fail for two more basic reasons: 1) AI is not given a reliable way to read business context or take action across systems, and 2) organizations do not translate ambitious AI visions into clearly defined outcomes, projects, and next steps.
In other words, the problem is often both architectural and operational.
This session introduces a practical framework for making enterprise AI actually work. On the technical side, I will outline two core ideas: a Read Contract, which gives AI governed and auditable access to live business context, and a Write Contract, which defines how AI can safely and reliably execute actions across enterprise systems. On the execution side, I will show why AI initiatives also need a more disciplined planning model - one that breaks the vision down into concrete outcomes, projects, and tasks rather than leaving teams stuck with broad aspirations and disconnected pilots. Attendees will leave with a clear framework for diagnosing why AI efforts stall, designing stronger foundations for production use, and turning AI strategy into executable enterprise delivery.
SPEAKER:
Kanishk Mittal - Principal Technology Architect, InterSystems
Link to worksheet: kanishkmittal.com/talks/ai-council-2026-worksheet.pdf
👉 Sign up for our "No BS" Newsletter to get the latest technical data & AI content: aicouncil.com/newsletter
ABOUT AI COUNCIL:
AI Council brings together the brightest minds in data to share industry knowledge, technical architectures and best practices in building cutting edge data & AI systems and tools.
FIND US:
Website: aicouncil.com
LinkedIn: linkedin.com/company/aicouncilconf
X: https://x.com/aicouncilconf
[2026 - DAY 3 - APPLIED AI] Most enterprise AI initiatives do not fail because models are weak. They fail for two more basic reasons: 1) AI is not given a reliable way to read business context or take action across systems, and 2) organizations do not translate ambitious AI visions into clearly defined outcomes, projects, and next steps.
In other words, the problem is often both architectural and operational.
This session introduces a practical framework for making enterprise AI actually work. On the technical side, I will outline two core ideas: a Read Contract, which gives AI governed and auditable access to live business context, and a Write Contract, which defines how AI can safely and reliably execute actions across enterprise systems. On the execution side, I will show why AI initiatives also need a more disciplined planning model - one that breaks the vision down into concrete outcomes, projects, and tasks rather than leaving teams stuck with broad aspirations and disconnected pilots. Attendees will leave with a clear framework for diagnosing why AI efforts stall, designing stronger foundations for production use, and turning AI strategy into executable enterprise delivery.
SPEAKER:
Kanishk Mittal - Principal Technology Architect, InterSystems
Link to worksheet: kanishkmittal.com/talks/ai-council-2026-worksheet.pdf
👉 Sign up for our "No BS" Newsletter to get the latest technical data & AI content: aicouncil.com/newsletter
ABOUT AI COUNCIL:
AI Council brings together the brightest minds in data to share industry knowledge, technical architectures and best practices in building cutting edge data & AI systems and tools.
FIND US:
Website: aicouncil.com
LinkedIn: linkedin.com/company/aicouncilconf
X: https://x.com/aicouncilconf
