Professor Cynthia Rudin joins this episode to discuss interpretable machine learning and her incredible work in the complex and evolving field of AI.
François Candelon, Global Director at BCG Henderson Institute, discusses the findings of the 2020 and 2021 studies conducted by BCG and MIT Sloan Management Review about AI in the enterprise.
In this insightful chat, Doug Hubbard and I explore examples from his book, How to Measure Anything, and we discuss its applicability to the world of data and data products.
Berit Hoffman, Chief Product Officer at Sisu, tackles design from a customer-centric perspective with a focus on finding problems at their source and enabling decision making.
Eric Weber, Head of Data Product at Yelp, joins me for a conversation about data products the value that data product managers can bring to their companies.
Even in the performing arts world, data and analytics is serving a purpose. Jordan Gross Richmond is the Chief Product Officer at AMS Analytics, where they provide benchmarking and performance reporting to performing arts organizations.
Why do we need or care about design in the work of data science? Jesús Templado, Managing Director at Bedrock, is here to tell us about how Bedrock executes their mantra, “data by design.”
Episode Description How do we get the most breadth out of design and designers when building data products? One way is to have designers be at the front leading the charge when it comes to creating data products that must be useful, usable, and valuable. For this episode Prasad Vadlamani, CDW’s Director of Data Science … Read more
The challenges of design and AI are exciting ones to face. The key to being successful in that space lies in many places, but one of the most important is instituting the right design language.
Simply put, data products help users make better decisions and solve problems with information. But how effective can data products be if designers don’t take the time to explore the complete needs of users?To Param Venkataraman, Chief Design Officer at Fractal Analytics, having an understanding of the “human dimension” of a problem is crucial to creating data solutions that create impact.