Machine Learning

Speed and Scale: Advanced Analytics with Machine Learning

Artificial Intelligence and Machine Learning (ML) can turn massive amounts of data into deep insights that drive revenue and decrease costs. But ML’s not an island – in fact, it’s carried out most successfully when paired with advanced analytics.

Artificial Intelligence-Machine Learning-Deep Learning Technologies

To facilitate the best analytics work, enterprises need the right platforms and tools to load data, prepare it, ensure high quality and integrate with corporate data governance processes.

How can you get all that working harmoniously, especially in the cloud?

It takes the right tools, strategy, and workflow, but it can be done.

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Join us for this free 1-hour webinar, from GigaOm Research, to find out how.

The webinar features GigaOm analyst Andrew Brust, Deepsha Menghani, Product Marketing Manager at Microsoft, and Mark Balkenende, Director Technical Product Marketing at Talend.

In this 1-hour webinar, you will learn how:

  • Data analytics, data quality, and data governance can be tightly intertwined with data science
  • Technologies like Apache Spark can serve both your data engineering and machine learning needs
  • Cloud services can be combined with open-source software and analytics ecosystem tools for maximum benefit

Machine Learning and AI
Register now to join GigaOm Research, Microsoft, and Talend for this free expert webinar.

Who Should Attend:

  • CIOs
  • CTOs
  • Chief Data Officers
  • Data Scientists
  • Data Engineers
  • Data Stewards
  • Analytics professionals



About the Author Amel

I'm a Digital Marketing Strategist passionate about SEO and Digital Analytics. I also teach Digital Marketing and offer customized private coaching to entrepreneurs and in-house marketers to help them take their revenue or skills to the next level. Follow me on Twitter where I offer advice and share high quality content on marketing, tech and productivity.

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