Event Schedule
Day -1 (Oct 11th 7:30AM-5:00PM (PST))
| 7:30 AM - 8:00 AM | Registration |
|---|---|
| 8.00 AM - 8.30 AM | Technical: Towards more energy-efficient Neural Networks? Use your brain! (Olaf de Leeuw, Data Scientist, Dataworkz) |
| 8:35 AM - 9:05AM | Business: Demand Sensing - A Supply Chain Planning Game Changer (Abhishek Das, Senior Data Scientist, Aptus Data Labs) |
| 9:10 AM - 9:40AM | Business: Dispelling AI Hype with a Real-World, Deployed NLP Model Case Study. (Steven Gustafson, CTO, Noonum) |
| 9:45 AM - 10:15AM | General Keynote: Thrive with AI-powered Intelligent Document Processing(IDP) – Your Superpower (Ritu Jyoti, Group VP, IDC) |
| 10:20 AM - 10:50AM | Finance Keynote: Advanced Sanctions Matching Techniques via Natural Language Processing (NLP) Methodology (Mousumi Ghosh, Analytics Leader, Wells Fargo) |
| 10:50 AM - 11:00AM | Break |
| 11.00 AM - 11.30 AM | Technical: E-Invoice classification using item descriptions (Jaime Nino, Data Scientist, DIAN) |
| 11:35 AM - 12:05PM | Technical: AI + BlockChain & NextGeneration commercial Applications (Ganesh Harinath, Founder & CEO, Fiducia | AI) |
| 12:10 PM - 12:40PM | Technical: Recruiting on a Mission for Recovery: Programmatic Advertising Meets Conversational AI (Keisuke Inoue, Data Scientist, PandoLogic) |
| 12:40 PM - 1:10PM | Lunch Break |
| 1.10 PM - 1.40 PM | Business: Building ML Deployment Platform (Siddharth Kashiramka, Product Management, Capital One & Anshuman Guha, Data Scientist, Capital One) |
| 1.45 PM - 2.15 PM | Technical: Language Understanding made easy. (Jaya Mathew, Data Scientist, Microsoft) |
| 2.20 PM - 2.50 PM | Technical: How to operationalize Trustworthy AI Models in production (Sourav Mazumder, AI/ML Operationalization Leader, IBM) |
| 2:50PM - 3:00PM | Break |
| 3:00PM - 3:30PM | Keynote: Scaling AI from the Cloud to the Edge (Sujith Ravi, Founder & CEO, SliceX AI) |
| 3:35PM - 4:05PM | Technical: Using Automation and ML to build next generation marketing platform for eCommerce (Manash Bhattacharjee, PepsiCo, Product Management) |
| 4:10PM - 4:40PM | Business: Business What do Planes and Machine Learning have in common? How Interpretable ML can improve decision-making (Serg Masis, Data Scientist, Syngenta) |
| 4:45PM - 5:15PM | Technical: Towards Building an Intelligent ??Integration Platform as a Service (Malith Jayasinghe, VP Artificial Intelligence, WSO2 Inc.) |
Day -2 (Oct 12th 7:30AM-5:00PM (PST))
| 7:30 AM - 8:00 AM | Registration |
|---|---|
| 8:00 AM - 8:30AM | Technical: Transformers - The Key Inflection Point for AI Ecosystem (Chandra Khatri, Chief Scientist, Got It AI) |
| 8:35 AM - 9:05AM | Business: Natural Language Processing in Leading Business Towards Advancement (Sameer Maskey, CEO, Fusemachines) |
| 9:10 AM - 9:40AM | Technical: ML Models To Production (Filipa Peleja, Data Science Team Lead, Levi Strauss & Co) |
| 9:45 AM - 10:15AM | Keynote: How are chatbots becoming digital transformation control towers? (Wendy Li, VP Engineering, ServiceNow & Gaurav Goyal, Principal Architect, ServiceNow) |
| 10:20 AM - 10:50AM | Business: The future of Automation and AI in Insurance (Manan Sagar, Managing Director, Genesys) |
| 10:50 AM - 11:00AM | Break |
| 11:05 AM - 11:35 AM | Technical: Lakehouse paradigm for managing AI (Anindita Mahapatra, Solution Architect, Databricks) |
| 11:40 AM - 12:10 PM | Keynote: Framework to drive innovation at speed within large corporations (Vinod Suresh, VP Of Products, Walmart) |
| 12:15 PM - 12:45 PM | Technical: STEDI framework to evaluate AB metrics (Somit Gupta, Principal Data Scientist, Microsoft) |
| 12:45 PM - 1:15PM | Lunch Break |
| 1:15 PM - 1:45 PM | Techincal: Abstractive Summarization of Industry Specific Long Documents (Anjali Shah, Data Scientist, IBM) |
| 1:50 PM - 2:20 PM | Technical: Maximizing the productivity of your ML Platform with Kubeflow 1.4 (Josh Bottum, VP, Arrikto) |
| 2:25 PM - 3:20 PM |
Keynote Panel: AI from Investment perspective
Gayathri Radhakrishnan (Investment Director, Micron Ventures)
Vik Sasi (Partner, Dreamers VC)
Pranjal Daga (Product Manager at Brex & On Deck Fellow & Pear VC)
|
| 3:20PM - 3:30PM | Break |
| 3:35PM - 4:05PM | Keynote: Industrial AI: Challenges and Best Practices (Xiaohui Hu, Director, GE Digital) |
| 4:10PM - 4:40PM | Technical: NLP challenges in task-based dialog systems (Sanaz Bahargan, AI Research Scientist, Amazon) |
| 4:45PM - 5:15PM | Technical: Self Service Analytics for Data Democratization and Innovation (Shahidul Mannan,Head of Data Eng & Innovation, Mass General Brigham) |
Day -3 (Oct 13th 7:30AM-5:00PM (PST))
| 7:30 AM - 8:00 PM | Registration |
|---|---|
| 8:00 AM - 8:30 AM |
Business Track: AI in Healthcare - Enriched Patient Care (Raghvendra Singh, Dikhit Solution Architect, IMPETUS Technolgies) |
| 8:35 AM - 9:05 AM | Technical Track: On the right tracks with CD4ML (Maarten van Duren, AI Architect, Dataworkz) |
| 9:10 AM - 9:40AM |
Business Track: Augmenting Human Intelligence in Healthcare: The Next Disruptive Innovation (Steve Ardire, Founder AI, startup Advisor) |
| 9:45 AM - 10:15 AM |
Technical Track: Big data & AI development for breast cancer detection solutions (Mario Lois, Global Head of AI, GE Healthcare) |
| 10:20 AM - 10:50AM |
Business Track: How to succeed with machine learning against fraud (Elizaveta Lebedeva, Data Scientist, Bolt) |
| 10:50 AM - 11:00AM | Break |
| 11:00 AM - 11:30 AM | Technical Track: AI in Healthcare (Marcio Aloisio Bezerra Cavalcanti Rockenbach, Product Management, Mass General Brigham) |
| 11:35 AM - 12:05 PM | Technical Track: Multimodal Machine Learning for Video and Image Analysis (Shalini Ghosh, Principal, Amazon) |
| 12:10 PM - 12:40PM | Technical Track: The Pursuit of Beating the S&P500 using Machine Learning (Kevin Sun, Senior Data Scientist, Rock Central) |
| 12:40 PM - 1:10PM | Lunch Break |
| 1:10PM - 1:40PM | Keynote: The Future of AI: Creating Value at the Convergence of Emerging Technologie (Kirk Borne, Data Scientist, DataPrime) |
| 1:45PM - 2:15PM |
Data Streaming and Machine Learning Ops for Big Data and AI (Sameer Wadkar, Staff Software Engineer, Domino Data Lab) |
| 2:20PM - 3:50PM |
Workshop : Model Risk Management Workshop |
| 3:50PM - 4:00PM | Break |
| 4:00PM - 6:30PM |
Workshop : Model Risk Management Workshop Cont... |
Day -4 (Oct 14th 7:30AM-5:00PM (PST) )
| 7:30 AM - 8:00 AM | Registration |
|---|---|
| 8:00 AM - 10:00 AM |
Workshop: Linear Algebra and Calculus with TensorFlow (Ganapathi Pulipaka, Chief AI Scientist, Deepsingularity LLC) |
| 10:00 AM - 10:10 AM | Morning Break |
| 10:10 AM - 12:10 PM | Workshop: Linear Algebra and Calculus with TensorFlow (Ganapathi Pulipaka, Chief AI Scientist, Deepsingularity LLC) Cont.... |
Day -5 (Oct 15th 7:30AM-2:40PM (PST))
| 7:30 AM - 8:00 AM | Registration |
|---|---|
| 8:00AM - 10:00AM | Workshop: From Concept to Production: Template to Deploy ML Use Cases (Chanchal Chatterjee, Leader In AI Solutions, Google & Elvin Zhu , Software Engineer, Google) |
| 10.00AM - 10:10AM | Morning Break |
| 10:10AM - 12: 10PM | Workshop: From Concept to Production: Template to Deploy ML Use Cases (Chanchal Chatterjee, Leader In AI Solutions, Google &Elvin Zhu , Software Engineer, Google) cont... |
| 12:10PM : 12:40PM | Lunch Break |
| 12:40 PM - 2:40PM | Workshop: Deep Dive in NLP: from Beginnings to BERT (Ali Arsanjani, Principal ML Architect & Techsector Leader, AWS) |
NOTE: Agenda and speakers subject to change without notice
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Global Artificial Intelligence Virtual Conference
Date: Oct 11th to 15th, 2021 Venue: Virtual - Event Info