Join IBM Developer for a very special event to learn more about Deep Learning and Machine Vision pipelines. IBM Senior Technical Staff Member and Master Inventor Michael Hollinger will demonstrate how IBM Visual Insights make computer vision with deep learning more accessible.

You will walk away with an understanding of how to:
- Accelerate AI Vision deployments
- Increase productivity
- Train highly accurate models to classify images, and detect objects in images and videos without deep learning expertise

IBM Visual Insights (previously PowerAI Vision) makes computer vision with deep learning more accessible to business users. IBM Visual Insights includes an intuitive toolset that empowers subject matter experts to label, train, and deploy deep learning vision models, without coding or deep learning expertise.

It includes the most popular deep learning frameworks and their dependencies, and it is built for easy and rapid deployment and increased team productivity. By combining IBM Visual Insights software with accelerated IBM® Power Systems™, enterprises can rapidly deploy a fully optimized and supported platform with blazing performance.

The demonstration will show how you can simply and rapidly deploy models on a fully optimized and supported platform with blazing performance. The demo will include an introduction to the tool set and popular deep learning frameworks that you can use to create Vision models, without coding or deep learning expertise. Mike will then lead a discussion on trade-offs and challenges in AI Vision in an interactive exchange with attendees.

AGENDA :
6:00pm Check-In & Introductions
6:15pm Diversity @ IBM
6:30pm AI Vision Tech Talk
7:15pm Visual Insights Demo
7:30pm Q&A

Mike Hollinger
Chief Architect, Machine Vision @ IBM Cognitive Applications

Mike Hollinger is Chief Architect for Machine Vision in IBM Cognitive Applications, and is responsible for creating software that leverages computer vision. Mike previously spent two years in Taipei, Taiwan as Lead Software Architect for Power Systems Firmware Development and is also an IBM Master Inventor and Senior Technical Staff Member, recognizing his contributions to the IBM intellectual property and product portfolios. In past roles, Mike was firmware integration lead for the underlying compute node behind the grand-challenge system that won Jeopardy. When he’s not tinkering, he’s either running on a trail in Austin alongside his husband David, or trying out a new recipe in the kitchen.

[Pride Edition] IBM Visual Insights: Deep Learning & AI Vision at Blazing Speed