Organizing Data Science Teams
What are best practices for organizing data science teams? Having data scientists distributed through companies or having a Centre of Excellence? What are the most important skills for data scientists?
Rozwijaj wiedzę o danych i AI dzięki eksperckim wskazówkom dla osób uczących się i zespołów
Podnosisz kwalifikacje małego zespołu?Zacznij już dziś
Ostatnio opublikowane
What are best practices for organizing data science teams? Having data scientists distributed through companies or having a Centre of Excellence? What are the most important skills for data scientists?
Hugo speaks with Taras Gorishnyy, a Senior Analytics Manager at McKinsey and Head of Data Science at QuantumBlack, a McKinsey company, about what it takes to change organizations through data science.
Hugo speaks with Derek Johnson, an epidemiologist with Doctors without Borders. Derek leverages statistical methods, experimental design and data scientific techniques to investigate the barriers impeding people from accessing health care.
What are the biggest challenges in Pharmaceuticals that data science can help to solve?
The financial world has been irrecoverably changed by the advent of data science. Find out how.
The intersection of data science and ecology and the adoption of techniques such as machine learning in academic research.
What are the biggest challenges in insurance and reinsurance that data science can impact?
Hugo speaks with Eric Colson, Chief Algorithms Officer at Stitch Fix.
Andrew Gelman speaks with Hugo about statistics, data science, polling, and election forecasting.
Cassie and Hugo discuss decision making and decision intelligence, which Cassie thinks of as data science plus plus, augmented with the social and managerial sciences.
Arnaub Chatterjee, a Senior Expert and Associate Partner in the Pharmaceutical and Medical Products group at McKinsey & Company, discusses cutting through the hype about artificial intelligence (AI) and machine learning (ML) in healthcare.
Wes McKinney talks about data science tool building, what it took to get pandas off the ground and how he approaches building human interfaces to data to make individuals more productive.
Brandeis discusses the biggest barriers to entry for people of color in data science, initiatives that currently exist and what we as a community can do to promote diversity.
Hugo speaks with Gabriel Straub, the Head of Data Science and Architecture at the BBC, to discuss data science and machine learning at the BBC and much more!
Marco Blume, Trading Director at Pinnacle Sports talks about the role of data science in large-scale bets and bookmaking, how Marco is training an army of data scientists and much more.
Noemi Derzsy, a Senior Inventive Scientist at AT&T Labs Research within the Data Science and AI Research organization, discusses her work there and much more!
Katharine Jarmul, Head of Product at Cape Privacy, speaks with Hugo about what type of tools are being developed to help us through this crisis and how they impact your privacy.
Amen Ra Mashariki deep dives into the state of data literacy in government agencies, the use cases he worked on to make the City of New York smarter, and more!