schedule Aug 31st 02:00 PM - 02:45 PM place Grand Ball Room 2 people 80 Interested

Recently, we have heard success stories on how deep learning technologies are revolutionizing many industries. Deep Learning has proven huge success in some of the problems in unstructured data domains like image recognition; speech recognitions and natural language processing. However, there are limited gain has been shown in traditional structured data domains like BFSI. This talk would cover American Express’ exciting journey to explore deep learning technique to generate next set of data innovations by deriving intelligence from the data within its global, integrated network. Learn how using credit card spend data has helped improve credit and fraud decisions elevate the payment experience of millions of Card Members across the globe.

 
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Outline/structure of the Session

Talk would cover the following topics.

  • Introduction
  • Challenges & Opportunities of using Deep Learning on Credit Card Spend Data
  • Journey to Leverage Deep Learning on Financial Data
  • Best Practices to leverage Deep Learning for Credit Card Spend Data
  • Key Learnings from the Use case

Learning Outcome

Attendees would be benefited to know about challenges of leveraging deep learning for traditional structured data domains like BFSI and will also learn the best practices to leverage Deep Learning for such data domains.

Target Audience

Anyone interested to use deep learning from scratch to solve critical business problems.

Prerequisite

Not Specific. Having basic understanding of deep learning techniques and their applications would be handy to grasp the concept better.

schedule Submitted 5 months ago

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  • Naresh Jain
    By Naresh Jain  ~  5 months ago
    reply Reply

    Thanks for the proposal, Manish. This is a very interesting topic.

    I see that you've proposed this as a 20 mins talk, would you be able to do justice to all the topics listed under the Outline/structure of the Session in 20 mins? 

    • Dr. Manish Gupta
      By Dr. Manish Gupta  ~  5 months ago
      reply Reply

      I just thought of the content and interest level and maturity of audience, so I have increased the talk time to 45 min to do justice to the topic.

    • Dr. Manish Gupta
      By Dr. Manish Gupta  ~  5 months ago
      reply Reply

      Thanks Naresh for pointing this out. Yes, I agree to cover it in details, will need more time. But, I was not sure the interest level of the attendees and don't want to bored them with lengthy presentations. If you think that there is an interest in the audience, then instead of giving overview, I can cover details too and increase the time accordingly. let me know your views and I can do the same.

       

      • Naresh Jain
        By Naresh Jain  ~  5 months ago
        reply Reply

        Thanks for the prompt response, Manish. Increasing the time is one option, but I would also encourage you to see if you focus on the core bits (get straight into the heart of the problem) and do it in 20 mins. A crisp, focused talk where people have good takeaways are generally very popular at our conferences. Also, we'll have plenty of networking opportunity outside the session for more in-depth discussions. 

        • Dr. Manish Gupta
          By Dr. Manish Gupta  ~  5 months ago
          reply Reply

          I completely agree with you and that's the reason why I have kept it into 20 Min Talk.

          Regards

          Manish


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