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Deep Learning/Machine Learning Technical Interest Group (TIG)

Applying new analytics, neural networks, computational approaches using structured and unstructured data, and also training neural networks with supervised and unsupervised algorithms. Chaired by Patrick Ng and Andrew Munoz.
Deep Learning - Machine Learning TIG
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Last Post 22 Jul 2019 12:07 PM by  Patrick Ng
Energy IN Data 2020 - Shaping the Transformation
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Patrick Ng
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22 Jul 2019 12:07 PM
    Is Energy IN Data on the right track?
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    Motivation -

    1. Per feedback from ML and Analytics Workshop @Houston at the start of 2019, we shall facilitate a community to exchange ideas and put forward recommendations for AAPG continuing education. Retooling / upskilling, whatever we call it, is an integral part of the digital transformation mega trend.

    2. After a well attended and productive 2.5 day workout of EID @Austin a month ago, it is important to keep up with the momentum on digital transformation crossing disciplines.

    Actionable -

    As food for thought, to differentiate from AAPG / SEG / SPE societies own annual conferences, here is a broad outline of aspiration EID 2020:

    a. Focus on the business utility of using the data in upstream oil and gas
    b. Emphasis on the integration between professions and work groups
    c. Value proposition tailored to each of the segments (e.g., exploration, development, production)
    d. Venue for interactivity and “hands on” dynamics (e.g., workshop / hackathon)

    So let's start the conversation and shape the Digital Transformation. Be a player using Deep Learning TIG - share your ideas on what will make EID 2020 exciting and rewarding experience.
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    Moderators

    Andrew Munoz Ensign Natural Resources
    Patrick Ng Real Core Energy

    Headquarters Contacts

    Susan Nash Director, Innovation and Emerging Science and Technology AAPG