• What are GROUPINARS?
  • Groupinars are live curated web video seminars in which select professionals from varied walks of life are invited to share their experiences related to tech, design, start-ups, and new ideas. Our goal is to provide Connectedreams community a chance to interact with some of the industry’s top thinkers.

  • They are free and open to all. We host these seminars on a regular basis. List of attendees will be shared after each event, so that members can network with like minded people.

  • Groupinars are RSVP only. Upon registering you will receive an email with the link to the live stream event an hour prior to the event.

  • Great! If you’re interested in speaking or know someone awesome who is, please contact us at
Design, Data And Machine Learning
Design, Data And Machine Learning
Design, Data And Machine Learning
Design, Data And Machine Learning
April 30, 2017 | 8:30pm IST | 11:00am EST | Free Interactive Web Seminar

Rebecca Fiebrink | University of London
Deepak Pakhare | Amazon
Kuan Huang | Poncho

Tarana Gupta | Connectedreams

It is  almost impossible to escape the impact frontier technologies are having on everyday life. At the core of this impact are the advancements of artificial intelligence, machine learning, and deep learning. These change agents are ushering in a revolution that will fundamentally alter the way we live, work, and communicate akin to the industrial revolution more specifically, AI is the new industrial revolution.

The most exciting and promising of these frontier technologies is the advancements happening in the design. Design has consistently played a role in shaping the value of technological evolution to fit our lives, not merely as consumers or gadget lovers, but as people - respecting our real needs and behaviors. Desktop computing was revolutionized by the GUI, the iPhone design launched the most impressive device we had ever seen. Designing with data is the next frontier.

Panelists of this Connectedreams groupinar will discuss how Machine Learning is changing design and how design is needed to transform machine learning. They will offer a few notes indicating what an approach that advances learning in design might look like. How will the profession as a designer change? How should we adapt the design process? How can we use data as a medium? And what are the future expectations from people who will use the products and services we create?