Accelerate your AI/ML Initiatives and Deliver Business Value Quickly by Implementing Practical and Innovative Approaches.

Abstract: 

Critical success factor for enterprise level AI adoption and sponsorship is the ability to rapidly deploy AI technologies, solve use cases quickly, and deliver iterative business value to stakeholders. In this session, we will discuss the challenges of AI adoption, share some pragmatic approaches that enterprises can adopt to accelerate their AI / ML initiatives and deliver quick and iterative business value. Examples of some approaches would include leveraging pre-integrated AI frameworks and automation techniques such as AutoML, along with ready-to-use industry-specific AI solutions. The faster and more incremental the delivery of business value through AI, the higher the likelihood of successful adoption and implementation of AI within enterprises.

Bio: 

Mahesh Krishnan is the CTO for Fujitsu in Oceania. One of the key technology area he focuses on these days is AI. He has been in leadership roles within the Tech industry for a number of years, is a frequent speaker at conferences, and has written a couple of technology books. He also used to be a Microsoft MVP for a number of years.

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

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