Dr. Beverly Wright, Host

Dr. Beverly Wright, PhD, CAP, serves as Vice President of Data Science & AI at Wavicle Data Solutions, and Executive Director for Data Science Programs for University of Georgia, Executive Education.

Beverly is a sought-after professional speaker at established conferences, presenting on topics related to data science, consumer insights, and marketing analytics. She also operates a nonprofit that leverages data science talent, tools, and resources for community betterment, tackling tough issues like human trafficking, opioid and other addictions, mental health, and other causes.

We hope you will enjoy TAG Data Talk, and for more information, please reach out to Dr. Beverly Wright on LinkedIn.

The opinions expressed by the podcast hosts and guests do not necessarily reflect the views of their employers or affiliated organizations.

Latest Episodes :

In this episode of TAG Data Talk, Dr. Beverly Wright and Chris Klein will discuss:

Why organizations often rush into AI tools before strengthening data, process, and domain fundamentals

The moments when teams realize weak foundations lead to stalled projects, poor model performance, or misleading insights

Shifting from “latest technology first” to investing in data quality, governance, and business understanding

How strengthening core skills, clean data, and cross-functional literacy accelerates long-term AI success

Real examples of teams that moved slower initially but ultimately scaled AI more effectively because their foundations were strong

Chris Klein, Director – Enterprise Analytics at Genuine Parts Company

Dr. Beverly Wright, Vice President of Data Science & AI at Wavicle Data Solutions, and Executive Director for Data Science Programs for University of Georgia, Executive Education

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TAG Data Talk: No Use Case, No Use! The GenAI Reality Check

In this episode of TAG Data Talk, Dr. Beverly Wright and Kelly Moncrief of Southern Company will discuss:

What’s the general ‘shiny object’ appeal of GenAI? Tell us about the trap?
How do companies end up moving forward with GenAI when they shouldn’t?
Describe the struggle when reality hits? How can we flip the script and start differently – with the value proposition instead of the technology?
With a very high percentage of AI initiatives not making it to production, what’s the way to keep AI moving forward?
What one piece of advice would you give someone trying to instill stronger use case / value prop mentality within an organization?

Kelly Moncrief, Head of AI Technology, Southern Company

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Episode sponsored by:

Intrigue Meets Integrity: Striking the Balance Between Innovation and Responsible AI

In this episode of TAG Data Talk, Dr. Beverly Wright and Rohit Lal, CIO, Saia, will discuss:

How do you see organizations today navigating the excitement of AI innovation while keeping ethics and responsibility front and center?
In your experience, what happens when teams chase innovation speed without enough consideration for governance or guardrails?
What approaches or mindsets have you seen help teams innovate boldly and responsibly at the same time?
Can you share an example or observation where an initiative had to slow down or pivot to align better with responsible AI principles?
Who plays the most important roles in balancing innovation and responsibility?

Rohit Lal, CIO, Saia

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Riding the Silver Tsunami: Leveraging AI and Innovation to Modernize Systems and Close the Gap in Senior Healthcare

In this episode of TAG Data Talk, Dr. Beverly Wright sits down with B. Anderson (Andy) Flatt, Senior Vice President and CIO, National HealthCare Corporation (NHC), to ask:

What first drew you to the intersection of technology and senior care?
What kinds of barriers typically stand in the way of innovation in senior healthcare?
AI often brings promise, but also skepticism –especially in emotionally sensitive spaces like elder care, how do you think leaders can balance innovation with empathy and trust?
What kinds of opportunities are you seeing from AI, automation, or other digital tools in this space?
If you could offer one piece of advice to healthcare leaders facing a wave of change, what would it be?

B. Anderson (Andy) Flatt, Senior Vice President and CIO, National HealthCare Corporation (NHC)

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Navigating Cross-Industry Moves in Data Science & AI

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Iddo Salton, Vice President Innovation, Data & AI, Delek US:

What first drew you to the idea that data science skills could transfer across industries?
When changing industries, what’s the biggest shift in thinking or approach that a data leader usually must make?
What tends to trip people up most when applying their skills in a completely new domain?
What strengths or habits help someone succeed when the industry is unfamiliar?
What advice would you give to someone in data or AI who’s considering a leap into a new field?

Iddo Salton, Vice President Innovation, Data & AI, Delek US

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Smarter Tech, Leaner Systems: Reducing Cost Without Sacrificing Care

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Neal Patel, MD, MPH, Chief Information Officer, HealthIT, Vanderbilt University Medical center:

How can tech help identify and eliminate low-value workflows or redundant processes across the care continuum?
Where has automation (clinical or operational) truly moved the needle on cost without degrading patient experience?
How can we better use analytics to guide resource allocation, staffing, and equipment usage?
Where has automation (clinical or operational) truly moved the needle on cost without degrading patient experience?
What’s the framework for deciding which pilot programs or innovations deserve broader rollout?

Neal Patel, MD, MPH, Chief Information Officer, HealthIT, Vanderbilt University Medical Center

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Computer Vision for Health: Living Longer

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with William Figueroa, Chief Information and Technology Officer, Integrated Oncology Network:

How computer vision is transforming healthcare – from early detections to treatment recommendations?
How is AI spotting cancer, analyzing x-rays, monitoring vital signs, and more?
Describe the science behind why machines “see” differently than humans.
What are the ethical implications of relying on AI to provide data and augment the vision for healthcare decisions?
What do you see for the future of computer vision in healthcare?

William Figueroa, Chief Information and Technology Officer, Integrated Oncology Network

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