#140 How this Accenture CDO is Navigating the AI Revolution

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Jun 5, 2023

Tracy Ring, Accenture's Life Sciences Chief Data and Analytics Officer, leads a team of over 500 in harnessing AI for industry transformation. She discusses the critical differences between data modernization and transformation, emphasizing user engagement and cultural change. Tracy also highlights how generative AI is revolutionizing drug development and patient care. Furthermore, she advocates for diverse teams to foster innovation and shares insights on empowering women in data and AI through mentorship and community support.

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INSIGHT

Modernization vs. Transformation

Data modernization updates technical architecture.
Data transformation resets data's value and organizational culture.

ADVICE

Data Transformation Scope

Involve business end-users from the start of data projects.
Treat data as a product with continuous development and communication.

ANECDOTE

Two-Year Backlog

A company had a two-year backlog of data work.
Analysis revealed much of it was duplicate or already available, highlighting communication issues.

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In the realm of Applied Intelligence, Accenture leads the way in harnessing the power of data and AI to transform industries. From consumer products to life sciences, retail, and aerospace, Accenture's influence is far-reaching. But what drives the organization? How does it navigate the complex landscape of data modernization and transformation? And more importantly, how does it leverage technology not just as an enabler, but as a catalyst for innovation?

Tracy Ring leads Accenture’s Applied Intelligence Products Category Group, in this role she has leadership across Consumer and Industrial Products, Automotive, Life Sciences, Retail and Aerospace and Defense. As the CDO and Global Generative AI lead for Life Sciences, she personally anchors the NA Applied Intelligence Life Sciences practice of more than 500 practitioners. Tracy has created solutions for Generative AI, Data led transformation, Artificial Intelligence, Data and Cloud Modernization, Analytics, and the organization and operating model strategies for next-generation adoption and AI fluency.

In the episode, Tracy initially clarifies the difference between data modernization and data transformation, highlighting their distinct meanings and why the terms aren’t interchangeable.

Tracy also emphasizes the importance of involving business end-users from the outset of data projects as well as advocating for a product-oriented approach to data.

The discussion also covers the topic of team diversity and inclusivity. Tracy shares practical advice on how to build diverse teams and create an environment that encourages curiosity and open dialogue. Tracy also shares her perspective on the future of work and the importance of fostering meaningful conversations in the workplace. She advocates for an attitude of infinite curiosity within teams.

In the context of life sciences, Tracy highlights the high stakes involved and underscores the need for responsible AI, data sharing, and data privacy. She also points out that the challenges in this field are more similar than dissimilar to those in other industries.

Tune in for a wealth of insights from a seasoned leader in the field of Applied Intelligence.