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The past year has been marked by a great acceleration. Achieving digital transformation, becoming data-driven, and scaling data science capabilities are on every organization’s mind. Yet, fewer than 30% of organizations are experiencing transformational business outcomes as a result of these investments, and only 24% of them claim they have created a data-driven organization (NewVantage Partners). 

The path to becoming a data-driven organization is a long and arduous process, as it requires investments in scaling various levers such as infrastructure, people, tools, and more. While navigating this long arduous process, it is crucial to access insights from leading experts at the forefront of data science and organizational data transformation.  This is why we relaunched the DataFramed podcast, where we sit down with industry experts and thought leaders to discuss the latest best practices and applications in data science and organizational change. 

Read this digest and gain expert insights on:

  • How data science is creating smart cities, with New York City's Former Chief Analytics Offier Amen Ra Mashariki

  • How to scale the impact of data work, with CEO of Decision.AI Dan Becker & VP of Data Science at Viacom Sergey Fogelson

  • Operationalizing machine learning with MLOps, with CEO of WhyLabs Alessya Visnjic

  • How trust in data breaks or makes your data transformation ambitions, with Barr Moses, CEO of Monte Carlo Data

  • The path to building data cultures, with Sudaman Thoppan Mohanchandralal, Regional Chief Data and Analytics Officer at Allianz Benelux

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Creating Smart Cities with Data Science (with Amen Ra Mashariki)

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From Predictions to Decisions (with Dan Becker)

The intersection of decision sciences and machine learning.

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