Gartner predicts that nearly 40% of agentic AI initiatives will be cancelled by 2027, driven by unclear business value, rising costs, and risk concerns, signalling a course correction beginning in 2026.
After two years of pilots and PoCs, organisations are pausing, not to slow AI, but to rethink how agentic AI actually gets implemented and delivers impact. 2026 is shaping up to be the year when agentic AI moves from experimentation to execution.
Technology executives, business leaders with strong technology ownership, and decision-makers driving AI transformation.
Join us as we explore how strong data foundations and agentic systems help enterprises sense, decide, and act, turning AI ambition into real outcomes.
Discover live demos, real transformation stories, and learn how agentic AI is revolutionizing enterprise workflows and driving intelligent automation.
Hands-on sessions with Data platform and hyperscaler experts and solution architects who will demonstrate how governance, AI creation, and their proprietary intelligent orchestration layers work together to enable enterprise-grade agent deployments.
Frameworks for governing data, cloud spend, and multi-agent systems without creating bottlenecks-including consumption tracking, security and access controls, compliance guardrails, and cost-optimization levers that prevent budget overruns.
Business case templates and ROI models to secure stakeholder buy-in, demonstrating how strong data foundations accelerate time-to-value while reducing deployment risk.
Settle in, connect with peers, and ease into the evening.
A structured, interactive session on building decision-ready data foundations, covering architecture, governance, and how agentic workflows drive real execution.
Live demos from leading platforms. See orchestration, autonomy, and integration-no slides, all substance.
Unstructured conversations, peer exchange, and continued discussions over dinner and drinks.
NOTE : This is an invite-only session. Seating is limited, and confirmation will be subject to availability.