Speaker Bio

Sumit Agarwal

Sumit Agarwal

Sr Director Analyst
Sumit Agarwal is a technologist with a practitioner mindset and extensive experience on solutions implementations across data and AI technologies. He has a research focus on Artificial Intelligence, Machine Learning, Advanced Analytics and Data Science. He provides guidance on AI topics including end-to-end solution implementations, architectures, frameworks and best practices related to cloud AI, responsible AI (explainability, privacy, fairness, adversarial robustness), skills development and organization structure, governance, technical strategy and open-source components.
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Monday, 07 November, 2022 / 02:15 PM - 02:45 PM AEDT
Technical Insights: Embed Data Privacy Within Data Science Solutions Using Synthetic Data and Other Techniques

Organizations are often concerned with sharing of sensitive data internally (and definitely externally). The existing data privacy techniques, however, are counter-productive to the data science effort. Emerging techniques such as synthetic data, differential privacy and federated learning provide a best-of-both-worlds approach. This session provides in-depth insights into these techniques.

Tuesday, 08 November, 2022 / 12:00 PM - 12:30 PM AEDT
Technical Insights: Struggling With Establishing Trust in AI? Reduce Model Bias and Incorporate Explainable AI

The use of predictive models creates trust challenges for enterprises. Model bias and lack of transparency are primary challenges for the trust gap. This session will demystify the approaches to mitigate bias and making the models explainable leveraging organizational people, improved processes and platform enhancements.

Join us to hear from Gartner experts and thought leaders.