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Actionable Data Strategy & DataOps for AI-Powered Products: Pitch, Measure, Use GPT
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Actionable Data Strategy & DataOps for AI-Powered Products: Pitch, Measure, Use GPT
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Episode Overview
How do you turn AI ambitions into measurable, deliverable data products? In this episode Boyan Angelov — author of Elements of Data Strategy and leader of data strategy at Exxeta AG — walks through practical steps to make data strategy actionable for AI-powered products. Drawing on a decade across bioinformatics, clinical trials, HRTech, LegalTech and consulting, Boyan reframes data strategy as a flexible, outcome-focused plan and explains the due diligence needed to align business goals with feasible use cases.
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Chapter Summary
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- 0:00 - Podcast Introduction
- 1:53 - Guest Introduction & Current Role
- 2:50 - Guest Background & Career Path
- 5:47 - Becoming a Data Strategist: Accidental Transition
- 8:13 - Defining Data Strategy: Actionable, Flexible Plans
- 10:13 - Due Diligence & Aligning Business Goals
- 13:28 - Designing Strategy: Use Case Ideation, Feasibility & Prioritization
- 16:21 - Influence Cascade & Scope Creep in Data Products
- 18:22 - Impact Assessment, Portfolio Management & Delivery
- 23:30 - Data- and AI-Powered Products Defined
- 24:57 - DataOps Principles: Lean, Agile & CI/CD Practices
- 27:18 - Strategy Roles: Platform, AI and BI Distinctions
- 30:02 - Core Skills: Data Knowledge, Communication & Systems Thinking
- 36:35 - Path to Data Strategist: Business Fluency & Deliberate Practice
- 39:09 - Translation Skill: Explaining Use Cases to Stakeholders
- 41:31 - From Strategist to CTO: Ownership, Budgeting & Management
- 43:46 - GPT as Writing Co-Pilot: Sidebars, Editing & Ethical Considerations
- 47:20 - GPT for Drafting: Outlines, PowerPoint & Chapter Structure
- 51:02 - ChatGPT for Data Strategy: Ideation, Prompting & Tech Guidance
- 52:44 - Pitching Strategy: Start Small with a Budgeted Use Case
- 55:32 - Baselines & Measurement: Pre- and Post-Implementation Metrics
- 56:56 - Recommended Reading: Data Strategy, DataOps & Infonomics