AI Beyond the Hype: Bridging the Gap Between Enterprise AI and Real Impact
A practical, executive-level discussion on turning AI ambition into measurable business outcomes
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Your speaker
Akhil Koka
CEO, Magure
Overview
About This Session
Enterprises are accelerating AI adoption, from GenAI pilots to automation and intelligent systems. Yet without a managed AI approach across the enterprise AI lifecycle, many initiatives lack visibility, control, and scalability, limiting long-term business impact.
As organizations move beyond experimentation, leaders are asking tougher questions: Why does AI execution lag behind ambition, and why do pilots fail to scale into production? How can enterprises retain control, accountability, and confidence as AI expands across the organization?
This expert-led session explores how enterprises move from fragmented, unmanaged AI initiatives to managed, enterprise-ready, and sovereign AI that delivers measurable outcomes at scale.
Key insights on managed AI at scale
- The business and operational risks of unmanaged AI in production
- How lack of control leads to drift, cost sprawl, and accountability gaps
- How enterprises regain visibility and control across the AI lifecycle
- What effective AI oversight looks like beyond pilots and experimentation
- How managed AI drives measurable ROI, reliability, and confidence
Must watch for
Enterprise leaders and teams who:
- Run AI pilots or workflows without a clear path to production or scale
- Operate multiple AI models or tools with limited observability or ownership
- Face performance drift, rising AI costs, or unmanaged operational risk
- Need centralized control, auditability, and sovereign AI alignment
- Are accountable for proving AI reliability, impact, and ROI
Ready to bring structure to enterprise AI?
Speak with our experts to see how managed AI and lifecycle observability turn pilots into production-ready systems.
