Leveraging easy-to-use ML, NLP and interactive 3D data visualization to uncover key insights

Thu. June 10, 2021 @ 12:00 ET

Featured Speakers:

  • Ciro Donalek, Chief Scientific Officer and Co-founder, Virtualitics
  • Sagar Indurkhya, Head of Natural Language Processing, Virtualitics

Machine Learning (ML) models can derive powerful predictions and provide useful insights into large quantities of data but they are often seen as black boxes, leaving the users — especially non-technical users — in a difficult position of having to trust a model that they cannot understand and cannot explain to key stakeholders. Today we will show how Explainable AI, storytelling and Natural Language Processing (NLP) can make black box ML models more transparent, thereby enabling non-technical users to harness the power of ML to discover actionable insights from complex data faster than with traditional data analytics tools and communicate these insights to key stakeholders.



  • 12:00-12:30pm: Featured Presentation
  • 12:30-13:00pm: Your Q&A and interaction

About Data for AI:

The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related for AI. Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals. ​

Featured Presenters

Ciro Donalek

Ciro Donalek is a former Computational Scientist at Caltech where he successfully applied Machine Learning techniques to many different scientific fields, co-authoring over a hundred

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Sagar Indurkhya

Dr. Sagar Indurkhya has over six years of experience with natural language processing and publications in top journals and conferences in the field of computational

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