Back

Day -1 (September 27th 8:30AM-4:00PM (PST)) 

8:30 AM - 9:00 AM Registration
9.00 AM - 9.30 AM Business:Agile MLOps: Designing AI for Continuous Improvement (Uri Rosenberg, AI Specialist, AWS)
9.35AM - 10.05AM Technical: How to Properly Test ML Models & Data (Shir Chorev, Founder, Deepchecks)
10.10AM  - 10.40AM  Keynote:  Generative AI models and their benefits to industries and companies (Eve Psalti, Senior Director, Microsoft)
10.40AM - 10.50AM Break
10.50AM - 11.20AM Business: From Data to Decisions: Artificial Intelligence in FinTech ecosystem. (Surendra Reddy Challapalli, VP, Citi bank)
11.25AM - 11.55AM

Technical: Microsoft Fabric: Analytics in the era of AI (Arunansu Pattanayak, Chief Architect, Microsoft)
12.00PM - 12.30PM Business: MLOPs as a product (Maria Vechtomova, AI/ML Operationalization Leader, Ahold Delhaize)
12.30PM - 1.00PM Lunch Break
1.00PM - 1.30PM Business:  AI's Enigma- Probabilistic Realities, More Human Job Scare, Culture Consuming Strategy  (Manish mehta, CEO, AI Enterprise Vision) 
1.35PM - 2.05PM Technical: Lessons Learned from Building a Large-Scale Recommendation System for Headspace (Rohan Singh Rajput, Sr. Data Scientist, Headspace)
2.10PM - 2.50PM Keynote Panel:  Generative AI: Balancing Innovation and Responsibility 
Prof Paul DeMarinis (Dept of Art and Art History, Stanford)
Jeanna Matthews (Professor of computer science, Clarkson University)
Ravi Iyer (Director, USC Marshall School Neely Center)
Ravi Jain (Lead Editor, ACM)
2.50PM - 3.00PM Break
3.00PM - 3.30PM Business: Use of ML in highly regulated use cases (Mack Wallace, Director, MPOWER Financing)
3.35PM - 4.05PM Business:  The AI Multiplier: Exponentially Improving Business Results with AI-Powered Marketing, Communications and Sales (David Cyrus, Director, Staffbase)

Day -2 (September 28th 8:30AM-4:00PM (PST))

8:30 AM - 9:00 AM Registration
9.00 AM - 9.30 AM Business: From heartless clicks to personal chefs. How AI will revolutionise food delivery apps(Michalis Konstantoulakis, Director, efood)
9.35 AM - 10.05 AM
Business: GenAI Driven Customer Excellence.(Santiago Santa Maria, Director, NTT DATA)
10.10AM - 10.40AM Keynote: How to generate business value with generative AI (Ali Arsanjani, Director, Cloud Partner Engineering, Google)
10:40 AM - 10:50AM Break
10.50AM - 11.20AM Business: Generative AI for Enterprise: opportunities and challenges (Ajay Jain, VP of Regulatory Technologies, Cboe Global markets) 
11.25AM - 11.55AM Technical: Investing in Generative AI: A New Frontier for VC Investments (Massimo Buonomo, International AI Expert, IEC)
12.00PM - 12.30PM Business: How to leverage AI and Machine Learning as a Quant Allocator (Revant Nayar, CTO, FMI Technologies)
12.30 PM - 1.35 PM Lunch Break
1.35PM - 2.05PM Technical: LLM: Challenges, Trends and way forward (Aditya Jain, Senior Applied Research Scientist, Meta Platforms)
2.10PM - 2.40PM

Technical: Evaluating and Tracking LLM Experiments: Building Better LLM Apps with TruLens (Joshua Reini, Developer Evangelist, TruEra)
2:40PM - 2:50PM Break
2.50PM - 3.20PM Technical: LLM economics : The cost of leveraging Large Language Models (Nikunj Bajaj, CEO, TrueFoundry)
3.25PM - 3.55PM Technical: A Multi-Layered Approach to Generative AI Technology (Tony Shan, Principal, Global AI)

Day -3 (September 29th 8:30AM-4:00PM (PST))

8:30 AM - 9:00 AM Registration
9.00AM - 9.30AM Keynote: The Next Wave of Innovation: How Generative AI Will Transform Business (Ritesh Vajariya, Global Head of Generative AI, Amazon Web Services)
9.35 AM - 10.05AM Technical: The Future of AI: Unlocking the Power of Large Language Models (Abhinav Kohar,  Head of Technology, SLB)
10.10AM - 10.40AM Technical: Understanding Hallucinations in LLMs, and Why Retrieval Augmented Generation (RAG) Reduces the Issue (Greg Makowski, Head of Data Science Solutions, Cybernator)
10.40AM - 10.50AM Break
10.50AM - 11.20AM Technical: Data Contracts: Data Quality for AI (Chad Sanderson, Chief Operator, Gable Data)  
11.25AM - 11.55AM Business: From Mathematics to AI to LLM’s and Generative AI“ (Kim Naess, Enterprise Architect, Salesforce)
12.00PM - 12.30PM Technical: Responsible Generative AI - How to build responsible systems while leveraging Generative AI capabilities (Sriram Subramanian, Principal Engineer, Microsoft)
12:30 PM - 1:00PM Lunch Break
1.00PM - 1.30PM Technical: Impact of Artificial Intelligence on Fraud and Forensic Accounting: Implications for National Economies (Avinash Malladhi Manager, CalumetSpecialityProducts)
1.35PM - 2.05PM Technical: How the Texas Rangers use Machine Learning to Revolutionize Baseball Analytics. (Alexander Booth, Assistant Director, Texas Rangers Baseball Club, LLC)
2.10PM - 2.50PM

Keynote Panel: Advancement in Recommendation Systems

Raunak Sharan (Data Scientist, Shimento)
Sai Teja Makani (Manager, Spotter)
Deepanshu Lulla (Analytics Team Lead, Intuit Mailchimp)
Rohan Singh Rajput (Senior Data Scientist, Headspace) - Moderator
2.50PM - 3.00PM Break
3.00PM - 3.30PM Technical: Data Science from First Principles (Aditya Garg, Senior Data Scientist, Tesla)
3.35PM - 4.05PM Technical: The Future of AI in Design and Creativity (Juan Noguera, Professor, Rochester Institute of Technology)

NOTE: Agenda and speakers subject to change without notice