DataOps Is Good Business: Breaking Data Silos, Building Trust, and Preparing for AIErik Boemanns interviews Simon Yost on episode 14 of the E.B. Spoke podcast about DataOps as a practical operating model that, like DevOps, breaks down silos and turns analytics into a competitive advantage. They discuss how broken dashboards and surprise metrics become business costs when data is split across departments, and argue most companies have a data integration problem rather than a data problem. Examples include disconnects between marketing analytics and operational systems (even detecting website outages), and how unconnected data can mislead key metrics like customer lifetime value and acquisition costs. They emphasize tools don’t create trust—process, shared definitions (data dictionaries), and dedicated stewardship do—often via audits/gap assessments and a data fabric approach. They also cover Simon’s background, fractional consulting at the intersection of DataOps, data engineering, and AI, and the need to slow down to speed up while avoiding security/regulatory pitfalls.

00:00 Why Data Delays Hurt

00:24 DataOps Meets DevOps

00:50 From Firefighting to Flow

01:29 Invest in Data Foundations

02:09 One Off Spreadsheets Trap

02:50 Where Data Silos Form

03:36 Meet Simon Yost

04:56 Marketing vs Ops Disconnect

07:52 Lifecycle Pain and CLV

11:05 Unifying Data Patch to AI

12:25 Audits and the Brain Trust

13:48 Data Fabric Done Right

14:52 Warehouses Lakes Fabric

15:23 Open Source Data Stack

15:53 Data Dictionary Language

17:52 Owning Customer Definitions

19:11 Why Teams Can't Fix It

21:39 Slow Down To Speed Up

22:19 Regulation Changes Everything

24:41 AI Fear And Culture

26:16 Fractional Help And MVPs

27:59 From Prototype To Scale

29:23 Final Takeaway And Wrap

Learn more about AI Leadership Compass at www.priyasarathy.com

AI Leadership Compass: Navigating AI Transformation with Priya Sarathy, PhD

In Episode 13 of E. B. Spoke - The Podcast, host Erik Boemanns interviews Priya Sarathy about her new book, 'AI Leadership Compass - Lead with Clarity: Seven Moves That Power AI Transformation.' They discuss the rapid advancements of large language models (LLMs) and their disruptive potential in the workplace, emphasizing the need for responsible experimentation.

Priya shares her motivation for writing the book, which aims to guide senior leadership in balancing innovation at the edge with effective governance. She highlights the importance of AI fluency, cultural adoption, and continuous education. The conversation also covers practical advice for executives, success stories from companies like John Deere and Mod Pizza, and the necessity of having humans in the loop to ensure AI is used ethically and effectively.

00:00 Introduction: The Rapid Evolution of AI

00:44 Guest Introduction: Priya Sarathy and Her New Book

01:11 Motivation Behind Writing the Book

05:34 The AI Leadership Compass: Seven Moves

06:08 Strategic Vision and Business Value in AI

07:43 The Importance of AI Culture and Fluency

09:06 Governance and Management in AI

13:33 Innovation at the Edge: Real-World Examples

22:46 Cautionary Tales and Responsible AI

25:34 Human in the Loop: Ensuring Quality and Accountability

28:28 Practical Advice for Executives

33:28 Conclusion and Final Thoughts

Revolutionizing Cybersecurity: Lessons from 'Why Cybersecurity Fails in America' with Carter Schoenberg.

In this episode of E. B. Spoke - The Podcast, host Erik Boemanns converses with Carter Schoenberg, author of 'Why Cybersecurity Fails in America.' They delve into how cybersecurity can benefit from strategic recalibrations akin to those seen in professional sports like baseball's 'Moneyball.'

Schoenberg discusses the inefficiency of current cybersecurity practices, emphasizing the tendency to over-invest in underutilized technology, the impact of corporate politics, and the need for effective risk communication to C-suite executives.

Based on his career in law enforcement and extensive experience in cybersecurity, Schoenberg explains the importance of a well-rounded understanding of both classic risk metrics and modern data analytics.

The episode also addresses the need for continuous professional development and effective succession planning within cybersecurity teams.

00:00 Introduction: Rethinking Cybersecurity

00:53 Guest Introduction: Carter Schoenberg

01:21 The Problem with Current Cybersecurity Investments

02:12 The Overwhelming Number of Cybersecurity Products

02:48 Real-World Examples and Challenges

04:17 The Importance of Risk Evaluation

06:14 Carter's Background and Career Path

08:16 The Human Element in Cybersecurity

10:19 The Role of Math in Cybersecurity

11:20 Applying Moneyball Principles to Cybersecurity

13:01 The Cost of Cybersecurity Vulnerabilities

15:40 The Human Impact of Cybersecurity Failures

19:21 The Importance of Penetration Testing

20:24 Evaluating Cybersecurity Risk

21:20 Translating Technical Findings to Business Terms

25:36 The Role of Cyber Risk Quantification

29:23 Career Development in Cybersecurity

30:55 Communication and Corporate Politics

32:10 Conclusion and Final Thoughts