- 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.