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From Big Data to AI: Building Machine Learning Applications

The newest buzzword after Big Data is AI. From Google search to Facebook messenger bots, AI is also everywhere.

Machine learning has gone mainstream. Organizations are trying to build competitive advantage with AI and Big Data.

But, what does it take to build Machine Learning applications? Beyond the unicorn data scientists and PhDs, how do you build on your big data architecture and apply Machine Learning to what you do?

This talk will discuss technical options to implement machine learning on big data architectures and how to move forward.
Recorded Dec 12 2017 49 mins
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Presented by
Maloy Manna Data engineering PM, AXA Data Innovation Lab
Presentation preview: From Big Data to AI: Building Machine Learning Applications

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    * Jeff Sakasegawa, Trust and Safety Architect, Sift Science
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    - Why data-driven financial institutions get better results
    - How to build a foundation for a data-first approach
    - How and when to use AI and Machine Learning in your financial institution

    About the presenter:

    James Dotter, Chief Financial Officer at MX, brings more than 16 years of management experience and financial expertise with industry-leading, billion-dollar technology companies. Previous to joining the MX team, Dotter managed finance and operations at InsideSales.com, one of the fastest growing tech companies in the US. He led InsideSales.com through five years of more than 100 percent revenue growth, directed talent acquisition of more than 100 employees per quarter, and raised more than $140 million in private equity financing, while building and maintaining strategic partnerships.
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This channel covers the advent of artificial intelligence in business and society. Join the discussion with webinars and videos covering everything from neural networks, to computer vision and NLP, to machine learning and AI application in the real world.

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  • Live at: Dec 12 2017 12:00 pm
  • Presented by: Maloy Manna Data engineering PM, AXA Data Innovation Lab
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