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In this episode, we explore the success and challenges of data analytics projects.
Joining us is David Hill, CTO, Oka-Bi, a data warehouse software firm. David and I engage in a deep discussion into three key areas that impact projects: 1) complexity of projects 2) resource constraints, 3) stakeholder buy-in. Plus, valuable insights into recommendations for businesses looking to improve the success of their data analytics initiatives.
In this episode, we will learn:
00:00 Introduction and Guest Welcome
00:32 David Hill's Background and Interests
01:28 The High Failure Rate of Data Analytics Projects
02:42 Complexity in Data Analytics Projects
04:23 Importance of Governance in Projects
11:40 Resource Constraints and Their Impact
18:39 Stakeholder Engagement and Buy-In
23:24 Strategies to Reduce Failure Rates
27:11 Future of Data Analytics and Closing Remarks
Thank you for listening!
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In this episode, we explore the critical topics of ethics and bias in AI, which are of great significance in today's world due to recent technological advancements.
Joining us is Alejandro Zarate, Global Head of Data Strategy at Marsh in the USA, a prominent player in the global insurance market. Alejandro and I engage in a deep discussion about ethics and bias in AI, examining both the threats and opportunities they present for businesses.
Thank you for listening!
From the publisher's feed
Data Analytics Chat explores how leading organisations are building, scaling and transforming through Data & AI.
Hosted by Ben Parker, Founder of Parker B Associates, a…
Each episode features senior Data, AI and Technology leaders discussing:
• what they’re building
• what’s getting in the way
• what’s working
• what they’ve learned
• what other leaders can apply
Topics include AI adoption, enterprise data, data platforms, transformation, leadership, talent and ROI.
24,000+ downloads
Featuring leaders from AWS, Google, IBM, Oracle and global enterprises.
New episode every Tuesday.
Follow and subscribe for practical conversations with the leaders actually building and scaling Data & AI.

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