Take on AI and Machine Learning

Conference schedule

Day 1: March 3, 2020

• Replay

  Modernize and Infuse Intelligence into Your Applications on Hybrid Cloud
  Hillery Hunter, Vice President and CTO, IBM Cloud, and IBM Fellow, welcomes you to the Digital Developer Conferences and outlines what you will learn and why it matters.

  Hillery Hunter

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• Replay

  AI for AI - Data Science Gets Simplified
  Learn how AI can simplify data science, improve machine learning and minimize unwanted bias. IBM CTO for Data, Sam Lightstone shows you how AI can help with data preparation, model development, feature engineering and more utilizing popular open source run-times and tools. This programming methodology has evolved to create trust and transparency in your AI models.

  Sam Lightstone

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• Replay

  Learn more from Less - The latest from IBM Research in Artificial Intelligence and Deep Learning
  The evolution of AI in enterprise environments requires advanced learning capabilities, scale and trust. IBM Fellow, Dr. John R. Smith reviews the work IBM Research has done to move AI applications from narrow tasks to a much broader set of enterprise applications.

  Dr. John R. Smith

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• Replay

  IBM Cloud account setup and IBM Cloud Kubernetes Service cluster creation
  Get started coding in the IBM Cloud with this overview and tour from IBM Developer Advocate, Justin McCoy. He'll show you the basics of setting up an account, getting advanced cloud services for free and creating your first enterprise-ready Kubernetes cluster in less than 10 minutes!

  Justin McCoy

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• Replay

  AI behind the US Open, Wimbledon, Masters, and ESPN Fantasy Football
  With millions of football, golf and tennis fans around the world, AI can make an exciting sporting event even better. IBM Distinguished Engineer Aaron Baughman provides insights on how AI can enrich the sports experience for fans with analytics and statistics.

  Aaron K. Baughman

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• Replay

  Deploy State of the Art Deep Learning Models in under an Hour
  Join Fred Reiss, Chief Architect of CODAIT IBM as he explains how to deploy a deep learning model from the IBM Developer Model Asset eXchange. He'll help you understand the main components of a deep learning model as well as best practices and potential pitfalls.

  Fred Reiss

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• Replay

  Tools for Machine Learning Developers with Kubernetes using Open Source
  Creating a scalable and manageable machine learning model can be a tremendous challenge in production environments. Animesh Singh of IBM will show you how to leverage Kubernetes and open source technolgies like Tensorflow, Pytorch, Knative and Istio to deploy ML workloads and manage its full lifecycle.

  Animesh Singh

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• Replay

  Evaluating Models for Bias
  A demonstration of how to use IBM Watson OpenScale to automate and operationalize AI. Developer advocate Javier Torres' will help you: Build a custom model serving engine using Keras, Access the custom model using a REST API and Log the payload for the model using Watson OpenScale

  Javier Torres

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