Data and analytics is a core business function. As organizations accelerate their digital business transformation efforts, D&A leaders must build business-led D&A practices, data literacy, data monetization, smarter data sharing and adaptive governance into key business roles.

Episode 16:
Data Veracity and Diversity
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Episode 15:
Wall Street to Hollywood and the Role of Data
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Episode 14:
Representation Matters in Data + AI
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Episode 13:
Making the Case for Digital Transformation
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Episode 12:
Scaling Data Marketplaces
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Episode 11:
Failing Fast With Data Science and ML
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Episode 10:
Next-Gen Customer 360 With Data + AI
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Episode 9:
The Role of Data + AI in Healthcare Equity
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Episode 8:
The Critical Job of Building a Data Culture
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Episode 7:
Why AI Starts With Effective Data Management
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Episode 6:
The Role of the Data Platform in Transforming Business
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Episode 5:
Ethical Use of Data for AI
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Episode 4:
How Education Rewrote the Book on Virtual Learning
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Episode 3:
Improving Human Experiences With Data
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Episode 2:
The Evolving Data Leader
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Episode 1:

Democratizing Data Starts at the Top
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Episode 16:
Data Veracity and Diversity
Yao Morin
Chief Data Officer
JLL
Episode 15:
Wall Street to Hollywood and the Role of Data
Duan Peng
SVP of Data and AI
WarnerMedia
Episode 14:
Representation Matters in Data + AI
Jeffrey Reid
VP, Chief Data Officer
Regeneron Genetics Center
Episode 13:
Making the Case for Digital Transformation
John Irvin
Chief Data Officer – Information Technology Services
Deloitte
Episode 12:
Scaling Data Marketplaces
Warren Breakstone
Managing Director and Chief Product Officer, Data Management Solutions
S&P Global
Episode 11:
Failing Fast With Data Science and ML
Dan Jeavons
VP for Digital Innovation and Computational Science
Shell
Episode 10:
Next-Gen Customer 360 With Data + AI
Don Vu
Chief Data Officer
Northwestern Mutual
Episode 9:
The Role of Data + AI in Healthcare Equity
Slawek Kierner
SVP, Chief Data and Analytics Officer
Humana
Episode 8:
The Critical Job of Building a Data Culture
Yao Morin, Ph.D., CDO at JLL, Don Vu, Chief Data Officer at Northwestern Mutual, Patrick Baginski, Sr. Director of Data Analytics at McDonald’s, Sherman Cooper, VP of Data Management and Strategy at Mastercard, Randy Bean, CEO, NewVantage Partners
Episode 7:
Why AI Starts With Effective Data Management
Habsah Nordin
Head of Enterprise Data, Group Digital
PETRONAS
Episode 6:
The Role of the Data Platform in Transforming Business
Pallaw Sharma
Chief Data Science Officer, Supply Chain
Johnson & Johnson
Episode 5:
Ethical Use of Data for AI
JoAnn Stonier
Chief Data Officer
Mastercard
Episode 4:
How Education Rewrote the Book on Virtual Learning
Kate Carruthers
Chief Data and Insights Officer
University of New South Wales, Starbucks
Episode 3:
Improving Human Experiences With Data
Jon Francis
Chief Analytics Officer, Starbucks
Episode 2:
The Evolving Data Leader
Sol Rashidi
Chief Analytics Officer, Estée Lauder
Episode 1:

Democratizing Data Starts at the Top
Stuart Hughes

Chief Information and Digital Officer, Rolls-Royce
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Industry use cases

Winning market share and reducing costs by better understanding retail consumers
Production ready use cases:
  • Demand Forecasting with Causals
  • Customer Lifetime Value
  • Predicting Survivorship and Customer Retention

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Develop Next Generation Technology Solutions with Data Analytics and AI
Production ready use cases:
  • Product development and support
  • Security and monitoring
  • Predictive maintenance

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Smarter Drug Development with Data Analytics and AI
Production ready use cases:
  • Genomics and drug discovery
  • Real-world evidence
  • Commercial analytics

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Building a safer and more inclusive Financial Services sector with Data + AI
Production ready use cases:
  • Modernize Risk Management
  • Data-driven ESG
  • Fraud Prevention with Predictive Analytics

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Understand your audience and content like never before
Production ready use cases:
  • Quality of service
  • Customer lifetime value
  • Subscriber churn prediction

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Maximize supply chain efficiencies through intelligent manufacturing with data analytics
Production ready use cases:
  • Demand forecasting and supply chain optimization
  • Predictive maintenance and automated quality control
  • Commodity usage optimization and worker safety and health monitoring

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Deliver better public services with data and ML
Production ready use cases:
  • Demand forecasting and supply chain optimization
  • Predictive maintenance and automated quality control
  • Commodity usage optimization and worker safety and health monitoring
  • Counter-terrorism
  • Electrical grid reliability
  • Threat detection

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Better serve the needs of students with the power of data
Production ready use cases:
  • Research and discovery
  • Fundraising, advancement, and endowment management
  • Recruiting and student success
  • Campus security and operations
  • Curriculum development

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