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TLC (True Life Cost) Engine - A Start up harnessing Big Data

A presentation and discussion led by founder Krishna Malyala

Agenda

1) Sharing founder experiences (business case, funding, etc )

2) Reference Architecture and use of Big Data

3) Rationale - Big Data Technologies over Traditional approaches

Speaker and Founder Bio

Krishna Malyala is a co-founder of the TLCengine, which employs big data technologies to calculate personalized costs in a variety of fields. Malyala has a computer engineering degree from Pennsylvania State University and an M.B.A. from Rutgers. He started his career as a patent examiner at the Patent and Trademark Office. He left the PTO to enter into the world of entrepreneurship, and has been involved with three startup projects.

He was the CTO at WISP Inc., which became the third largest wireless service provider in the United States. He developed the patented Zypher technology, which sped up wireless 2.5G and wire line modem speeds by a factor of 10. Zypher's users included Morgan Stanley, Boeing, and Cintas.

At Citi, Malyala was the VP of technology, and in that position, he launched more than 20 projects, including Citi's Big Data Initiative and the Citi Fitness Challenge, which scored the highest participation rate of any campaign.

Currently, Malyala is developing tripTLC which calculates the True cost of any Trip from Point A to point B and  homeTLC for the TLCengine, which will be aimed at helping home buyers calculate the True Lifestyle Costs of homeownership.Krishna Malyala is a co-founder of the TLCengine, which employs big data technologies to calculate personalized costs in a variety of fields. Malyala has a computer engineering degree from Pennsylvania State University and an M.B.A. from Rutgers. He started his career as a patent examiner at the Patent and Trademark Office. He left the PTO to enter into the world of entrepreneurship, and has been involved with three startup projects.

He was the CTO at WISP Inc., which became the third largest wireless service provider in the United States. He developed the patented Zypher technology, which sped up wireless 2.5G and wire line modem speeds by a factor of 10. Zypher's users included Morgan Stanley, Boeing, and Cintas.

At Citi, Malyala was the VP of technology, and in that position, he launched more than 20 projects, including Citi's Big Data Initiative and the Citi Fitness Challenge, which scored the highest participation rate of any campaign.

Currently, Malyala is developing tripTLC which calculates the True cost of any Trip from Point A to point B and homeTLC for the TLCengine, which will be aimed at helping home buyers calculate the True Lifestyle Costs of homeownership.


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  • Balaji V.

    Prasad - By any chance, is the presentation already posted - I could not make it as i was away from town.


    Thanks

    June 9, 2013

  • Pete S.

    This was truly an inspiring presentation by Krishna Malyala of his practical application of Big Data to his well conceived business use case.
    The discussion throughout the session was quite engaging and demonstrated his business insights.
    Wish him all success in his endeavors.

    1 · June 6, 2013

  • Prasad S.

    Passionate and excellent presentation. A good discussion on entrepreneurship, business acumen, and technology. Here is my take away from the meeting ..
    a) Execute on your big data idea, it is a right time.
    b) Correlation vs Causality (your USP guide)
    c) Data is available to execute (free or with a price tag)
    d) Asymmetric information

    Good luck !! A meetup is a good network and crowd sourcing tool to discuss or brainstorm on topics. You will be surprised at who can help or augment your idea.

    2 · June 5, 2013

  • Mayank M.

    Exhilarating and inspiring

    1 · June 5, 2013

  • Arvind K.

    Hope to attend time permitting

    June 3, 2013

  • Manohar

    Yes. I will attend

    June 2, 2013

Our Sponsors

  • Praxio Technologies

    Big data technology and workshops.

  • Princeton ITS

    Venue

  • airisDATA

    spark and scala

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