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API Management and Mobile App Enablement

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Gregg W.
API Management and Mobile App Enablement

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Abstract
Mobile applications are the fastest growing enterprise API consumption channel. Through API management, the enterprise creates connections between information systems and mobile applications for its workforce (BYOD), subscribers, customers and social media. Learn how easy and quickly you can enable mobile applications to connect to APIs and authenticate using API keys, OAuth and other patterns. Experience the L7 Mobile Access Gateway and Developer Portal interact with mobile applications through APIs and Push Notifications – live without a net.

Event Details
This event will be hosted at the University Center Conference Chicago. (http://www.universitycenterconference.com/) Here is a link to directions and parking (http://www.universitycenterconference.com/overviewnew/location) information. We will have appetizers, beer and wine for this event. Also, Layer 7 will be giving away an iPad and an Apple TV at the end of the event.

Speaker Bios
Francois Lascelles (http://ca.linkedin.com/in/flascelles) has 20+ years of development experience and currently guides Layer 7’s solutions architecture team and aligns product evolution with field trends as Chief Architect. Francois presents regularly on a wide variety of topics including REST access control, Oauth, and OpenId Connect at Fortune 10 organizations and is a sought after speaker including presentations at GlueCon, CloudID Summit, RSA Security and others.
Tom Nienhaus, as a professional engineer, is an application architect at Eli Lilly and Company on the IT Innovations/Mobility team. Previously, Tom led teams driving the introduction of new technology at Lilly. Tom managed a software development team for scientific applications formalizing open source software governance. Tom’s infrastructure teams introduced collaboration and web hosting at Lilly. Industry experience includes military avionics, industrial control systems, test equipment, and enterprise software products. As a consultant Tom conducted automotive failure mode analysis, led design implementation of enterprise engineering software, and conducted research for NASA. Tom served as an adjunct professor teaching engineering economics and computer science courses at universities.

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Chicago Machine Learning
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University Center
525 S State St · Chicago, IL