Expanding Your Data Science and Machine Learning Capabilities


TUESDAY, APRIL 30 - 11:00 am PT / 2:00 pm ET

Surviving and thriving with data science and machine learning means not only having the right platforms, tools and skills, but identifying use cases and implementing processes that can deliver repeatable, scalable business value. The challenges are numerous, from selecting data sets and data platforms, to architecting and optimizing data pipelines, and model training and deployment. In response, new solutions have emerged to deliver key capabilities in areas including visualization, self-service and real-time analytics. Along with the rise of DataOps, greater collaboration and automation have been identified as key success factors.

Things we will discuss:
  • Moving from isolated pockets of success to an enterprise AI factory model where capabilities can be built and deployed consistently and repeatedly
  • Scaling enterprise machine learning across multiple dimensions, from strategy and people skills, to corporate compliance and technology platforms, to drive business adoption
  • Tapping technology platforms designed to unlock the power of open source for deploying machine learning capabilities with enterprise-grade security, governance and scale
  • Use cases and solutions for data science and machine learning spanning multiple industries, including companies such as Wish.com, China Mobile, Alipay/Alibaba, and Visa
To educate IT decision-makers and practitioners about new technologies and strategies for expanding data science and machine learning capabilities, Database Trends and Applications is hosting a special roundtable webinar on April 30th.

Register Now to reserve your seat today for this webinar titled Expanding Your Data Science and Machine Learning Capabilities.

Audio is streamed over the Internet, so turn up your computer speakers!
Bethann Noble
Director of Product Marketing, Machine Learning
Gaurav Deshpande
VP of Marketing
Will Davis
Senior Director of Product Marketing
Stephen Faig
Research Director
Unisphere Research
and DBTA