World Machine Learning Summit – North America (New York Time Zone)

November 6, 2020

November 6, 2020

10:45 AM To 5:30 PM

Online Only

https://bit.ly/2GAXoYZ

$100

    Event Description

    Theme of the Conference:
    The Summit will be on what are the key challenges to improve your Machine Learning strategy and Implementation, etc

    Conference Schedule

    Track 1 : Data Science

    Time zones : New York – 11:00 AM, Seattle – 08:00 AM, Denver – 09:00 AM, Boston – 11:00 AM, Toronto – 11:00 AM, Chicago – 10:00 AM

    10:45 AM – 11:00 AM

    Registration / Conference Overview

    Nitesh Naveen, Founder, 1.21GWS

    11:00 AM – 11:30 AM

    Keynote – How Google Uses AI and ML in the Enterprise

    Richard Dutton, Head of Machine Learning for Corporate Engineering, Google

    11:30 AM – 12:00 PM

    Building a data science centre of excellence

    Wessel Oosthuizen, Associate Director – AI Lead, Deloitte, Johannesburg

    12:00 PM – 12:30 PM

    Artificial Intelligence to attain global sustainable development goals

    Srujana Kaddevarmuth, Board member of United Nations Association

    12:30 PM – 01:30 PM

    Break

    01:30 PM – 02:00 PM

    Data Science in Manufacturing

    Avery Smith, Data Science – Optimization Engineer, ExxonMobil & Snow Data Science

    02:00 PM – 02:30 PM

    Data Discovery in Data Lakes

    02:30 PM – 03:00 PM

    How being an information generation is driving Big Data and business change

    03:00 PM – 03:30 PM

    Break

    03:30 PM – 04:00 PM

    Applications of Artificial Intelligence for the Mature and Emerging Sectors

    04:00 PM – 04:30 PM

    Framework, best practices and strategies for data ingestion, transformation and storage in the new AI/ML world

    04:30 PM – 05:30 PM

    Finals : ML Olympiad – North America

    Track 2 : Analytics

    Time zones : New York – 11:00 AM, Seattle – 08:00 AM, Denver – 09:00 AM, Boston – 11:00 AM, Toronto – 11:00 AM, Chicago – 10:00 AM

    10:45 AM – 11:00 AM

    Registration / Conference Overview

    Nitesh Naveen, Founder, 1.21GWS

    11:00 AM – 11:30 AM

    Keynote – How Google Uses AI and ML in the Enterprise

    Richard Dutton, Head of Machine Learning for Corporate Engineering, Google

    11:30 AM – 12:00 PM

    RPA and AI disrupting the Financial Industry’

    Vinnie Saini, Director, Enterprise Data & Analytics Architecture, Scotiabank

    12:00 PM – 12:30 PM

    Feature Based Opinion Mining

    12:30 PM – 01:30 PM

    Break

    01:30 PM – 02:00 PM

    Big data serving: The last frontier. Processing and inference at scale in real time

    Jon Bratseth, VP Architect, Verizon Media

    02:00 PM – 02:30 PM

    Building Analytics Teams: How to attract, hire and manage a high performance analytics team

    John K. Thompson, Global Head of Advanced Analytics & AI, CSL Behring

    02:30 PM – 03:00 PM

    Industry 4.0 – Pain vs gain. Why everyone should understand this paradigm?

    03:00 PM – 03:30 PM

    Break

    03:30 PM – 04:00 PM

    Democratization of AI with Augmented Analytics

    04:00 PM – 04:30 PM

    How are Best-in-Class Organizations Institutionalizing Analytics?

    04:30 PM – 05:30 PM

    Finals : ML Olympiad – North America

    Track 3 : Machine Learning

    Time zones : New York – 11:00 AM, Seattle – 08:00 AM, Denver – 09:00 AM, Boston – 11:00 AM, Toronto – 11:00 AM, Chicago – 10:00 AM

    10:45 AM – 11:00 AM

    Registration / Conference Overview

    Nitesh Naveen, Founder, 1.21GWS

    11:00 AM – 11:30 AM

    Keynote – How Google Uses AI and ML in the Enterprise

    Richard Dutton, Head of Machine Learning for Corporate Engineering, Google

    11:30 AM – 12:00 PM

    NLP and Deep Learning for long documents

    Irina Matveeva, Chief of Data Science and AI, Reveal Data & Professor at Illinois Institute of Technology

    12:00 PM – 12:30 PM

    Multi Tasking Deep Learning for Natural Language Processing – Transfer Learning

    12:30 PM – 01:30 PM

    Break

    01:30 PM – 02:00 PM

    How to governance your AI/ML assets

    Xiaojun Su, Senior Data Scientist, Newcomp Analytics

    02:00 PM – 02:30 PM

    Large-scale Machine Learning

    Alexey Grigorev, Lead Data Scientist, OLX Group

    02:30 PM – 03:00 PM

    Machine Learning Open Source Software in New and Old Platforms

    Javier Perez, Open Source Program Strategist, IBM

    03:00 PM – 03:30 PM

    Break

    03:30 PM – 04:00 PM

    From the Earth to the Moon: Lessons from the Space Race to Apply in Machine Learning Projects

    Diego Hueltes, Machine Learning Manager, RavenPack

    04:00 PM – 04:30 PM

    Recommender Systems

    04:30 PM – 05:30 PM

    Finals : ML Olympiad – North America

    Track 4 : Languages, Libraries, Platforms & Tools

    Time zones : New York – 11:00 AM, Seattle – 08:00 AM, Denver – 09:00 AM, Boston – 11:00 AM, Toronto – 11:00 AM, Chicago – 10:00 AM

    10:45 AM – 11:00 AM

    Registration / Conference Overview

    Nitesh Naveen, Founder, 1.21GWS

    11:00 AM – 11:30 AM

    Keynote – How Google Uses AI and ML in the Enterprise

    Richard Dutton, Head of Machine Learning for Corporate Engineering, Google

    11:30 AM – 12:00 PM

    Scala

    12:00 PM – 12:30 PM

    SAS

    12:30 PM – 01:30 PM

    Break

    01:30 PM – 02:00 PM

    Julia

    02:00 PM – 02:30 PM

    Pig/Hive

    02:30 PM – 03:00 PM

    Tensorflow, Keras, PyTorch, Caffe

    03:00 PM – 03:30 PM

    Break

    03:30 PM – 04:00 PM

    Scikit-learn, Theano, Shogun, Pylearn2, XGBoost

    04:00 PM – 04:30 PM

    Apache Spark, MLlib, Streaming

    04:30 PM – 05:30 PM

    Finals : ML Olympiad – North America

    Organizers

    1.21GWs

    http://gcsiconference.com/

    About the Organizers

    1.21 GWS is a tech media company which organizes conferences. we have our headquarters based in USA and we also have an office operating in India too. Our aim is keep IT industrians provide a platform to discuss and spread awareness on the newest of technologies, its uses and application thru conferences webinars trainings etc.

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