Event Schedule
Day -1 (March 29th 8:00AM-6:00PM (PST))
8:00 AM - 8:30 AM | Registration |
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8:30 AM - 8:55AM | Technical: Decoding ChatGPT – Understanding the Algorithm & Its Application in Finance (Debasmita Das, Manager, MasterCard) |
9.00 AM - 9.30 AM | Technical: Are LLMs all you need? (Ted Way, Principal PM Lead, Microsoft) |
9.35AM - 10.05AM | Technical: Building and evaluating Generative AI applications for NLP (Divyansh Agarwal, Sr. Research Engineer, Salesforce) |
10.10AM - 10.40AM | Keynote: Responsible use of Generative AI in the Enterprise (Ali Arsanjani, Director-Cloud Partner Engineering, Google) |
10.40AM - 10.50AM | Break |
10.50AM - 11.20AM | Technical: Trends in Personalized Video Recommendations (Amey Porobo Dharwadker, AI Technology Leader, Meta) |
11.25AM - 11.55AM |
Technical: The Technology behind ChatGPT (Junling Hu, CEO, coach.ai) |
12.00PM - 12.30PM | Business: Risks and Opportunities in Generative AI (Eric Riz, CEO, VERIFIED) |
12-35PM - 1.05PM | Business: ChatGPT is 20 years behind! (Paul Edelblut, VP of Products, Vantage Labs) |
1.05PM - 1.35PM | Lunch Break |
1.35PM - 2.05PM | Business: ChatGPT: More Than Just A Machine (West McDonald, Founder, West McDonald Co.) |
2.10PM - 2.40PM | Technical: How to build a question/answer engine with python and NLP (Swagata Ashwani, Data Scientist, Boomi) |
2.45PM - 3.15PM | Business: Enterprise AI apps (Venkata Duvvuri, Senior Scientist Tech Lead, Nvidia) |
3.15PM - 3.25PM | Break |
3.25PM - 3.55PM | Business: AI - The jack of all trades? (Sumeet Ahuja, VP of Product, Former Circle) |
4.00PM - 4.30PM | Technical: Detecting Deepfakes Using Machine Learning on Audio (Sneha Muppalla, Student, Cupertino High School) |
4.35PM - 5.05PM | Technical: Product Led Growth: A new and upcoming concept in consumer tech products (Kunal Khadilkar, Data Scientist, Adobe) |
5.10 PM - 5.40PM | Technical: Content Moderation via AIML and mechanical Turk (Rakhee Singhal, CEO, Actionable Analytics Group) |
Day -2 (March 30th 7:45AM-5:30PM (PST))
7:45 AM - 8:00 AM | Registration |
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8:00 AM - 8:25 AM |
Techincal: Will AI Steal My Job? — Experiments with an AI Recruiter Chatbot in the Age of GPT/LLM (Keisuke Inoue, Data Scientist, Pandologic)
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8.30 AM - 8.55 AM | Business: Trusted AI - when data cannot be trusted (Sandhya Gopalan, AI & MLOps Practice Head, EY Global Delivery |
9.00AM - 9.30AM | Business: Future of AI (Massimo Buonomo, Senior Advisor, Global Expert) |
9.35AM - 10.05AM | Business: AI 2025 - Four gAMe-changing AI trends of the intelligent business fabric (Soumen Chatterjee, AVP (Data & AI), HCL Technologies) |
10.10AM - 10.40AM | Keynote: Metaverse Equality and Tech: If we do what we have always done, we will get what we have gotten (Michelle Pruitt, Director, Microsoft) |
10:40 AM - 10:50AM | Break |
10.50AM - 11.20AM | Business: Observability and AIOPs (Shailesh Basani, ex-Director, Adobe) |
11.25AM - 11.55AM | Technical: LakeHouse: Smart Iceberg Table Optimizer (Rajasekhar Konda, Senior Engineering Leader, Apple & Hongyue Zhang, Software Engineer, Apple) |
12.00PM - 12.30PM | Technical: Cloud Cost Optimization (Raju Shreewastava, CEO, Big Data Trunk) |
12-35PM - 1.05PM | Technical: Low code and AI (Praveen K Tomar, Technology Lead, Office for National Statistics) |
1.05PM - 1.35PM | Lunch Break |
1.35PM - 2.05PM | Business: Challenges in financial monitoring for blockchain transactions (Leah McFarland, Product Management, State Street) |
2.10PM - 2.40PM | Technical: Operationalizing data-centric AI: Practical methods to quickly improve ML datasets |
2.45PM - 3.15PM |
Technical: Responsible AI (Ricardo Baeza-Yates, Institute for Experiential AI, Northeastern University) |
3.20PM - 5.20PM | Workshop: Adaptive ML Algorithms with Python (Chanchal Chatterjee, Senior Deep Learning Software Leader, NVIDIA) |
Day -3 (March 31st 7:45AM-5:30PM (PST))
7:45 AM - 8:00 AM | Registration |
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8.00AM - 8.25AM | Business: Building an AI Job search companion: Approach and Learnings (Somnath Biswas, Product Management, TotalJobs Group) |
8.30AM - 8.55AM |
Business: Commercializing AI: Focus on Better Customer Experience, NOT Better Algorithms (Anish Agarwal, Global Head of Analyticsl, Dr. Reddy's Laboratories) |
9.00AM - 9.30AM | Business: AI/Machine Learning use cases in the telecommunication industry (Dan Mo, Director, Ericsson) |
9.35AM - 10.05AM | Business: AI in Healthcare (Kerrie Holley, Directorl, Google) |
10.10AM - 10.40AM | Keynote : Delivering Fair, Safe and Effective NLP Models with Open-Source Tools (David Talby, CTOl, John Snow Labs) |
10.40AM - 10.50AM | Break |
10.50AM - 11.20AM | Business: Accelerating Machine Learning in Healthcare and Life Sciences on Amazon Web Services (Joshua Broyde, Solution Architectl, Amazon Web Services) |
11.25AM - 11.55AM | Technical: Digital products' global regulations and the impact (Wenjing Wang, Director, Merck) |
12.00PM - 12.30PM | Technical: Explainability and interpretability in Medical AI (Shubham - Patil, Data Scientistl, Stryker) |
12:30 PM - 1:00PM | Lunch Break |
1.00PM - 1.30PM | Business: Modeling Imaging Phenotypes to predict Omic profiles in Cancer (Shrey Sukhadial, Asisstant Director, Dartmouth-Hitchcock) |
1.35PM - 2.05PM | Technical: AI biologic design (Stefan Lukianovl, CEOl, Salve Therapeutics) |
2.10PM - 2.40PM |
Business: Sentient Search (Marianne Sweenyl, Principall, Daedalus Information Systems) |
2.40PM - 2.50PM | Break |
2.50PM - 3.20PM | Technical: Journey from rapid Experimentation to distributed training: Develop your deep learning model for cancer diagnosis (Sarita Joshi, AI Specialist, Google & Ayo Adedeji, AI Specialist, Google) |
3.25PM - 4.05PM |
Keynote Panel: AI in Healthcare
Ahana Gangopadhyay (Senior Data Scientist, GE HealthCare)
Rohan Singh Rajput (Sr. Data Scientist, Headspace)
Venkatraghavan Sundaram (Manager, PCCI)
Rathnakumar Udayakumar (Product Management, Netradyne) - Moderator
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4.10 PM - 4.40 PM | Data Mesh in Action - the business perspective (Marian Siwiak, Chief Data Officer, Cognition Shared Solutions) |
4:45PM - 5: 15 PM | Insurance(Subrogation) and AI (Abhishek Rai, Senior Data Scientist, Gigaforce) |
NOTE: Agenda and speakers subject to change without notice
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Global Artificial Intelligence Conference
Date: Mar 29th to 31st, 2023 Venue: Virtual , CA, USA - Event Info