101 The Business Case for AI-backed AR and Lessons Learned in Building It
10:45 AM - 11:45 AM Tuesday, June 25
Artificial intelligence-backed, AR-based solutions are being sought by enterprise to close gaps in performance. These efforts require careful strategic planning, adept understanding of the business problems at hand, and expert level technical execution. It's not enough to say, "AR is great and we need to do something with it." We must use sound technology assessment and keen business acumen to determine when, where, and how to create groundbreaking, process-changing tools for the workforce.
In this case study session, you’ll discover the lessons learned from an AI-backed AR performance support experience created by Maui Jim and Float. You’ll look at the strategy side of this project and get background on how Maui Jim is using advanced computer vision and machine learning technology to help improve their organization’s performance, and provide amazing performance support solutions to the front line salespeople that drive results. You’ll then learn more about the development side and uncover the rationale for the project, the process in designing and developing it, and also lessons learned as this project moved from prototype to product.
In this session, you will learn:
- How to assess the scope and scale of a business problem in order to determine if AR could be a fit
- How to diagnose breakdowns in a process in order to create a human-centered design solution
- How to ideate and test to determine go/no-go decisions on a prototype
- What common technology challenges you may face in creating a solution like this
- How to push a product over the finish line to deliver measurable results
Managers, senior leaders
Technology discussed in this session:
- Augmented reality
- Native application development
- Machine learning
- Human centered design
- Business analytics
Jim Ferolo is CIO for Maui Jim sunglasses. His work and experience encompasses B2B and B2C eCommerce strategy and implementation, retail IoT, mobile, high-profile promotions, and online research methodologies. Jim has developed digital strategy and enterprise applications for Christie Digital, DuPont, Fuse, MTV and VH1 networks, Bayer, Veolia, Accenture, Computer Discount Warehouse, Department of Defense, Tyson Foods, Pioneer, Caterpillar, Schwan's Foods, Shure Corporation, Franklin Covey, State Farm, Miller Heiman, AT&T, Growmark, Wiley, Abbot, Spice Islands, and Intel.
AR and Mobile Developer
Steve Richey is a software developer at Float focusing on mobile, augmented reality, and machine learning. He was the lead developer on Cydalion, an application that uses the Tango sensors on select Android devices to provide navigational assistance to people who are blind or visually impaired. Steve has also done AR research for the US Department of Defense, crafting a holistic solution for challenges faced by users in operational environments for the Combating Terrorism Technical Support Office (CTTSO). Before joining Float, Steve was a nuclear electrician in the US Navy and earned his MBA at Illinois State University.