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3-D: Data, digital, and design

A webinar series on data science, artificial intelligence, and design thinking

Technology advances are reshaping business and society at a dizzying clip. Cognitive or artificial intelligence (AI), robotic process automation, big data, digital transformation, and the Internet of Things are changing the way we work, think, and live. The 3-D webinar series is designed to bring leading thinkers, including Deloitte leaders and industry luminaries, to the data science community to explore the latest trends and techniques for data, digital, and design.

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View the previous 3-D webinars

Human-in-the-loop machine learning: Text mining and beyond

Featured speaker, Karthik Dinakar, Ph.D., MIT, CTO and co-founder, Pienso, a machine learning platform for non-programmers, along with series host and Deloitte Consulting US chief data officer, Jim Guszcza examine:

  • Recent machine learning advances that enable expert knowledge to better inform the data analytic process
  • Why effective data science requires an understanding of the underlying data-generating processes
  • Next-generation, topic modeling techniques and methods used to glean insights from large databases of unstructured text
  • Thoughts and issues around algorithmic bias and fairness

Who should attend 3-D webinars?

Data science and technology practitioners and business leaders, those who are strategizing customer-centric applications of data science and AI, and people interested in algorithmic fairness and ethics.

Meet our 3-D webinar series host

us-jim-g-thumbnail.jpg (200×200) Jim Guszcza, Deloitte Consulting LLP's US chief data scientist. Jim is a consultant, author, and former professor working at the intersection of data science, design thinking, behavioral economics, and ethics.

Previous 3-D webinars

Society in the loop AI: autonomous vehicles and beyond

Featured speaker, Iyad Rahwan, associate professor of media arts and sciences, MIT Media Lab along with series host and Deloitte Consulting US chief data officer, Jim Guszcza examine:

  • How human-centered design relates to AI
  • Designing AI systems in ways that reflect societal preferences and norms
  • Iyad’s recent work on crowdsourcing—using 25 million decisions from people worldwide about what autonomous vehicles should do in life-or-death decisions

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