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Event Overview

 

Google’s self-driving cars and robots get a lot of press, but the company’s real future is in machine learning, the technology that enables computers to get smarter and more personal.           
– Eric Schmidt (Google Chairman)Eric Schmidt (Google Chairman)

 

Join us for a fantastic evening of networking learning and conversation with

Speakers

Mimi Park

Executive Director Data Science and Machine learning at JPM Chase

Dr.Sriraam Natarajan

Director for center of Machine Learning at UT Dallas.

Shashi Vangala

Vice President Data services at Baylor Scott and health.

Panel discussion Moderator

Rama Koganti

Director Southwestern Health Resources and an Adjunct Professor at UT Arlington currently teaching data analysis and modeling techniques.

REGISTER HERE

Venue

Biryani & Co banquet,
8740 Ohio Drive suite C, Plano.

AGENDA

6pm - 7pm : Appetizers, Ice breakers and Networking

7pm - 8pm : Panel Discussion

8pm - 8.30pm : Q&A

8.30pm : Dinner and Networking

Entry Fee (Dinner included)

Members - Free if registering by August 21st
$10 if registering at the door

Non members - $25

$20 Early Bird if registering by August 17th
$30 if registering at the door

Students - $15

$10 Early Bird is registering by August 17th
$20 if registering at the door

Discussion Topics

  • How to make sense of Machine learning in a buzzing world with artificial intelligence, neural networks, supervised learning, unsupervised learning, deep learning, data science, big data all competing for attention.
  • Is the future of data in machine learning or are we in one more hype cycle?
  • How successful are machine learning use cases? Do we have enough Return on Investment on the use cases to formulate strong business case?
  • Which companies/industries are ahead of the game when it comes to exploring the benefits of machine learning?
  • I want to introduce machine learning in my workplace/business? How to get started? What first steps should I take?
  • Is this good for my career for my industry? Should I be learning about machine learning now?
  • How to get started and become an expert in machine learning?

Who should attend this?

  • Technology aspirants who want to understand machine learning quickly.
  • Non-technical people who want a primer on machine learning and are willing to engage with technical concepts.
  • Anyone who is curious about how machines think.
Event Date & Time

Aug 23, 2019

Register Now 08/23/2019 12:00 AM 08/23/2019 12:00 AM UTC Machine Learning Machine Learning Biryani & Co 8740 Ohio Dr suite c IACS

Event Speakers

  • Mimi Park

    Executive Director Data Science and Machine learning

    JPM Chase

    Mimi Park

    Executive Director Data Science and Machine learning

    Mimi Park is a business-outcome focused Data Scientist and leader with more than 10 years of experience in machine learning, data science and analytics. Mimi is passionate about making sure ROIs in data are realized by starting with immediate, relevant and actionable opportunities. She has helped numerous companies in the DFW area uncover the potential of their data by leveraging advanced insights and machine learning algorithms to drive decisions that create value and save costs. Most recently, she helped a Fortune 50 company build and implement a customer-facing product recommendation algorithm on their eCommerce platform that increased conversion and revenue. She also advises senior leaders on modern data platforms, data science strategy, Agile data science, data democratization, building data science teams, and more.

    − 10 years of hands on data science and machine learning experience with strong academic background in mathematics and statistics
    − Vast experience in dealing with large databases to draw business insight and build predictive models
    − Proven track-record in successfully executing innovative and large-scale projects
     

     

    LINKED IN PROFILE

    https://www.linkedin.com/in/mimi-park-1557b219/

    @ IACS

    JPM Chase

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  • Dr. Sriraam Natarajan

    Director Center for Machine Learning and Associate Professor

    UT Dallas

    Dr. Sriraam Natarajan

    Director Center for Machine Learning and Associate Professor

    Associate Professor

    Director Center for Machine Learning
    Department of CS 
    Erik Jonsson School of Engineering & Computer Science,
    The University of Texas at Dallas,

    Dr. Sriraam Natarajan is an Associate Professor at the Department of Computer Science at University of Texas Dallas. He was previously an Associate Professor and earlier an Assistant Professor at Indiana University, and at Wake Forest School of Medicine, a post-doctoral research associate at University of Wisconsin-Madison and had graduated with his PhD from Oregon State University. His research interests lie in the field of Artificial Intelligence, with emphasis on Machine Learning, Statistical Relational Learning and AI, Reinforcement Learning, Graphical Models and Biomedical Applications. He has received the Young Investigator award from US Army Research Office, Amazon Faculty Research Award, Intel Faculty Award, XEROX Faculty Award and the IU trustees Teaching Award from Indiana University. He is an editorial board member of MLJ, JAIR and DAMI journals and is the electronics publishing editor of JAIR. He is the organizer of the key workshops in the field of Statistical Relational AI, co-authored the book on this topic and has offered tutorials on the topic. He was also the co-chair of the AAAI student abstract and posters at AAAI 2014 and AAAI 2015 and the chair of the AAAI students outreach at AAAI 2016 and 2017.

    http://utdallas.edu/~sriraam.natarajan/

    @ IACS

    UT Dallas

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  • Shashi Vangala

    Vice President Data services

    Baylor Scott and White Health

    Shashi Vangala

    Vice President Data services

    Transformational Healthcare BI/Analytics Executive with across the continuum experience spanning payers, providers and pharmaceuticals/life sciences industries. Proven experience includes:
    • developing and implementing innovative strategies involving data assets to derive positive
    business impact
    • organizing, motivating and leading large cross-functional teams in driving complex initiatives to
    fruition
    • solving healthcare challenges through effective and efficient use of technology

    Speaker at National conferences on various topics in the area of Healthcare Data and Analytics.

    Believes in giving back through sharing experiences with other healthcare organizations so as to influence strategy and positively impact project outcomes where and when needed.

    Regular presence at local universities playing the bridge role between industry and academia with interest in shaping talent for the industry and research studies/outcomes.
     

     

    LinkedIn Profile

    https://www.linkedin.com/in/shashivangala/

    @ IACS

    Baylor Scott and White Health

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