In this fireside chat, leading experts from Deutsche Bank, Gretel.ai, and Likedin will discuss how synthetic data is revolutionizing operational efficiency, reducing costs, and enabling scalability. Learn how organizations across industries are overcoming traditional data challenges—such as privacy concerns, data scarcity, and high collection costs—by adopting synthetic data solutions.
Key Takeaways:
Join us to explore real-world applications and actionable strategies for driving growth and innovation through synthetic data.
Varun Nakra
Varun Nakra is an accomplished expert with over 15 years of experience in analytics developing statistics / machine learning / credit risk models to assist businesses make more informed and profitable decisions. He has an extensive knowledge of credit risk models such as Probability of Default, Loss Given Default, scorecards, etc. and machine learning techniques such as Classification, Regression, Decision Trees, Gradient Boosted Trees, Random Forests, Neural Networks, Bayesian Analysis and Markov Chain Monte Carlo (MCMC) and more.
Raghavan Muthuregunathan
Raghavan Muthuregunathan is a Senior Engineering Manager with expertise in artificial intelligence for search technologies. He leads the LinkedIn Search AI team, driving innovation and excellence. Before joining LinkedIn, Raghavan worked for Microsoft Bing, where he significantly contributed to the search field. He also leads multiple workstreams of genaicommons.org, an open membership initiative within the Linux Foundation AI + data. He is also an avid hackathon participants at lablab.ai
Alex Watson