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Episode

#232: Getting buy in and investment from senior execs for your data & AI projects, with Brian Ferris, Chief Data, Analytics and Technology Officer at Loyalty New Zealand

Podcast
Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
Published
May 17, 2023
Duration seconds
2583
Processing state
processed
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https://podcasters.spotify.com/pod/show/datafuturology/episodes/232-Getting-buy-in-and-investment-from-senior-execs-for-your-data--AI-projects--with-Brian-Ferris--Chief-Data--Analytics-and-Technology-Officer-at-Loyalty-New-Zealand-e246hs1
Audio
https://anchor.fm/s/3fab060/podcast/play/70518081/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2023-4-17%2F29d91139-82a1-a13f-3231-5243fd11b6f5.mp3
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Summary

Data leaders must transition from technical experts to enterprise leaders to secure executive buy-in. Success requires aligning AI strategy with business objectives and prioritizing organizational value over technical perfection.

Topics

  • AI Strategy
  • Executive Leadership
  • Data Governance
  • Change Management
  • Enterprise Architecture
  • Talent Development
  • Business Alignment

Highlights

  • Main idea: Shift your mindset from being a domain expert to an enterprise leader who understands business value
  • Practical takeaway: Align AI initiatives with existing business strategy rather than searching for problems to solve with new tech
  • Failure mode: Avoid 'pushing talent off a cliff' by gradually developing leadership and influencing skills in your team
  • Practical takeaway: Use a framework of small, high-value wins to build a larger data platform vision without overwhelming the organization
  • Failure mode: Do not let ego or defensive project ownership prevent you from adopting the most beneficial enterprise solutions

Chapters

  1. 4:10 The Challenge of Cross-Functional Alignment: Why organizations struggle to achieve unified goals across marketing, supply chain, and manufacturing.
  2. 7:20 Avoiding the AI-First Trap: The danger of starting with AI solutions before identifying genuine business problems.
  3. 13:50 Becoming an Enterprise Leader: How data leaders can use business language and strategic understanding to influence senior executives.
  4. 17:10 Nurturing the Next Generation of Leaders: Strategies for developing technical experts into credible enterprise partners through gradual skill building.
  5. 23:40 Influencing Without Manipulation: Approaching stakeholder management as a shared pursuit of company strategy rather than a sales exercise.
  6. 33:10 Building Psychological Safety: Creating a culture of trust and collaboration across the enterprise to drive adoption.
  7. 39:40 The Strategy of Incremental Value: Using small-scale, high-impact projects to build toward a larger, cohesive data architecture.