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Webinar - Thursday, May 3, 2018

1:00 pm ET/ 10:00 am PT - 45 minutes with Q&A
 
REGISTER
 
 
 
 
 
As machine learning and artificial intelligence (AI) usher in the Fourth Industrial Revolution, everyone wants a piece. However, the machine learning process is complex and time-consuming, which discourages business analysts and executives from being involved.

Enter, automated machine learning — created to automate the machine learning process. Automating the steps within machine learning is a game changer that empowers business analysts and subject matter experts to uncover predictive insights and generate solutions to real-world problems without the need for programming or deep knowledge of algorithms.

On this webinar, you’ll discover:
  • The 10 steps in the machine learning lifecycle, and the reason AI projects take weeks or months to complete (hint: it’s complex!)
  • How automation improves each step of the current, manual machine learning process, delivering a reproducible process that is faster and with fewer errors
  • Why automated machine learning enables data science for business analysts, executives, and SMEs
  • A checklist of features to look for when choosing an automated machine learning solution for your organization
 
 
 
 
 

Speaker

 
 
Colin Priest,
Data Scientist at DataRobot

Colin Priest is a Data Scientist for DataRobot, where he advises businesses on how to build business cases and successfully manage data science projects. Colin has held a number of CEO and general management roles, where he has championed data science initiatives in financial services, healthcare, security, oil and gas, government and marketing. Colin is a firm believer in data-based decision making and applying automation to improve customer experience.
 
 

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DataRobot, Inc, One International Place, 5th Floor, Boston, MA 02110
 

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