41:39
AI & Blockchain from an Investment Perspective
The panelists discuss building AI and blockchain systems from an investment perspective.
27:53
AI for Software Testing with Deep Learning: Is It Possible?
Emerson Bertolo discusses lessons learned when using pre-trained Convolutional Neural Networks (CNN) models, Image Detection APIs and CNN's built from scratch for this purpose.
01:01:52
AI, the Enterprise, and You: A Primer and Post-Mortem
David Wesst discusses current AI solutions along with the challenges of delivering an AI solution, from defining requirements, goals, and differences in development.
44:14
The State of AI Marketing
Federico Gobbi discusses the current state of AI in marketing, trends, case studies, technologies, ethics, regulations and compliance.
34:58
Building the Enchanted Land
Grady Booch examines what AI is and what it is not, as well as how it came to be and where it's headed. Along the way, he examines some best practices for engineering AI systems.
37:54
Product Management of AI Products
Manjeet Singh discusses how to bring AI to enterprise product lines, how to analyze, plan, and design AI in a SaaS environment along with practices and lessons learned from Agile AI product lifecycle.
56:47
Challenges & Solutions for a Blockchain-Powered Future
Eran Eyal talks about how the advent of blockchain technology promises a new era of more equitably distributed market power, the top 3 challenges adopting blockchain and the challenges of a visual AI.
49:07
R for AI developers
David Smith makes the case for R as a platform for developing models for intelligent applications, offering a few examples with details in the accompanying interactive code lab.
39:22
Models in Minutes not Months: AI as Microservices
Sarah Aerni talks about how Salesforce built an AI platform that scales to thousands of customers.
48:01
Fuelling the AI Revolution with Gaming
Alison Lowndes talks about the HW & SW that comprise NVIDIA's GPU computing platform for AI, across PC to data center, cloud to edge, training to inference.
49:18
AI Panel
Panelists attempt to demystify AI and answer questions from the public.
42:26
Deep Learning for Science
Prabhat discusses machine learning's impact on climatology, astronomy, cosmology, neuroscience, genomics, and high-energy physics, and the future of AI in powering scientific discoveries.
