9 questions covered in this episode of NextFutureToday

Why do many organizations struggle to prioritize Information Governance fundamentals?

What successful change management strategies have you witnessed or experienced in your work? (And if the answer is never, what would you change?)

What tactics might help "sell" the value of good data practices to different parts of an organization? Hint: It's not just the "data scientists" who should care.

Role of AI in Exposing Data Weaknesses: Can you think of examples where introducing new technology revealed underlying problems that had gone unnoticed?

What are the pros and cons of using maturity models as a benchmark for your organization, and how can you ensure honest self-assessment?

Why do you think culture plays such a big role in the success or failure of an information governance initiative?

Heavily regulated industries like healthcare or finance tend to take information governance more seriously due to the financial and legal penalties that loom overhead. Should non-regulated industries be equally concerned, and if so, why? 

What steps should organizations take to minimize bias when implementing AI? Is that an #infogov process?

What practical advice would you give for crafting a compelling business case in support of information governance?

00:00 AI Challenges in Regulated Industries
05:00 Embracing Diverse Industry Perspectives
07:13 Unexpected Career in Librarianship
09:48 Information Governance Challenges
14:39 Tailor Communication to Your Audience
17:13 Data Quality: Foundation for Success
19:21 Choosing Models for Business Goals
25:20 AI's Impact on Data Governance
29:44 Gen Z's Desire for Instant Answers
33:20 Building a Persuasive Business Case
34:15 Effective Leadership in Governance