Evolve25: Fueling the AI Future Data, Deployment and Tangible Outcomes
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Tech analyst Patrick Moorhead assesses Cloudera’s vision for the autonomous enterprise, highlighting why data strategy is the #1 predictor of AI success.
Discover why "Hybrid-Multi-Cloud" has moved from a theory to a regulatory necessity and how a unified data fabric overcomes the "Data Gravity" challenge. Learn the four success factors for moving beyond "Pilot Purgatory," including the role of acquisitions like Octopai and Taikun in building a frictionless consumption model.
Moorhead shares insights from his global meetings with CEOs on closing the AI skills gap and achieving tangible outcomes in 2025.
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Chapters:
00:00 Introduction: Is Enterprise AI living up to the hype?
01:00 Sam Altman & Satya Nadella: What does consumer AI mean for ERP?
02:40 Where is the ROI? Assessing BCG and Salesforce 10x gains
04:00 The Data Quality Rule: How to solve "Garbage In, Garbage Out"
05:15 Why is deployment complexity the #1 CIO challenge in 2026?
06:05 Hybrid Realism: Why public cloud isn't enough for legacy systems
06:45 Legal Risks: Can your AI chatbot create binding liabilities?
08:10 Solving the Skills Gap: From developers to AI Superpowers
09:25 Data Gravity: How to bring the cloud to your data
11:00 Why do 75% of CIOs struggle with Data Fabric journeys?
12:15 Success Factor 1: The necessity of Hybrid & Multi-Cloud Sovereignty
13:10 Success Factor 2: Governance & Lineage with SDX and Octopai
14:40 Success Factor 3: Why your data architecture must be outcome-driven
16:00 Success Factor 4: Frictionless AI via Low-Code/No-Code
17:40 API-Driven Multi-Cloud: Focusing on Top-Line revenue
19:15 The Endgame: Building the truly Autonomous Enterprise
20:10 3 Critical Priorities: Strategy, Global Activation, and UX
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