AI and Deep Learning in the Enterprise
Meeting is sold out and REGISTERED and WAIT-LIST were notified separately.
Any WALK-INS are highly unlikely to be admitted due to fire code limits.
A second duplicate session is being scheduled for May.
IEEE Computer Society, Compuatoinal Intelligence Society, Women in Engineering and Young Professionals presents:
Artificial intelligence (AI) is undergoing a vigorous resurgence, fueled by the success of deep learning algorithms. With rapid innovation in software and hardware to build deep learning models, however, organizations face the challenge to select the right tools that will enable them to leverage AI in enterprise applications. This drives the business need for a common process and open standard to simplify the operational deployment and integration of machine learning algorithms.
Beginning with an overview of current investments and common use cases, we will discuss state-of-the-art deep learning tools and how to exchange models between different applications based on the Predictive Model Markup Language (PMML) industry standard. Most importantly, this presentation will explore the future of AI in the enterprise and what needs to happen for AI to deliver its full potential rather than fading (again) once the current hype subsides.
Save the Date: 5/3/17 “Deep Learning Application”, Dr. Joshua Hargues, SPAWAR Systems Center, see Calendar: www.sdieee.org, Upcoming Events.
Date and Time
Location
Hosts
Registration
- Date: 20 Apr 2017
- Time: 06:30 PM to 08:00 PM
- All times are (UTC-07:00) Pacific Time (US & Canada)
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- Qualcomm AZ
- 10155 Pacific Heights Blvd
- San Diego, California
- United States 92121
- Room Number: Multipurpose Room A/B/C
- Click here for Map
- Starts 02 April 2017 11:00 AM
- Ends 20 April 2017 08:00 PM
- All times are (UTC-07:00) Pacific Time (US & Canada)
- 0 in-person spaces left!
- No Admission Charge
Speakers
Michael Zeller of Software AG
AI and Deep Learning in the Enterprise
Artificial intelligence (AI) is undergoing a vigorous resurgence, fueled by the success of deep learning algorithms. With rapid innovation in software and hardware to build deep learning models, however, organizations face the challenge to select the right tools that will enable them to leverage AI in enterprise applications. This drives the business need for a common process and open standard to simplify the operational deployment and integration of machine learning algorithms.
Beginning with an overview of current investments and common use cases, we will discuss state-of-the-art deep learning tools and how to exchange models between different applications based on the Predictive Model Markup Language (PMML) industry standard. Most importantly, this presentation will explore the future of AI in the enterprise and what needs to happen for AI to deliver its full potential rather than fading (again) once the current hype subsides.
Biography:
Dr. Michael Zeller, SVP AI Strategy & Innovation at Software AG. Michael leads Software AG’s innovation in artificial intelligence. His vision is to help organizations deepen and accelerate insights from big data through the power of machine learning. Previously he was CEO and Co-Founder of Zementis, a leading provider of software solutions for predictive analytics. Michael also serves on the Board of Directors of Tech San Diego and as Secretary/Treasurer on the Executive Committee of ACM SIGKDD, a premier international organization for data science.
Agenda
6:30 - 7:00 Networking and refreshments
7:00 - 8:00 Talk