Accelerating AI and ML at Enterprise Scale

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Recent estimates suggested between $9.5 and $15.4 trillion in value could be unlocked with advanced analytics.¹ Artificial intelligence (AI) and machine learning (ML) were highlighted as crucial drivers of that value. But despite increased investments in AI/ML, companies today are still struggling to capture real value from their analytics projects. Gartner predicts only 20% of analytic insights will deliver business outcomes.²

In this webinar, our experts shared:  

  • the top challenges that companies are facing with their AI/ML initiatives
  • how Teradata can overcome them with our leading Vantage and ClearScape Analytics
  • how we have helped some of our customers move their AI/ML projects into wide-scale production in weeks, driving faster time-to-value and greater ROI for their business

¹ McKinsey Global Institute, Notes from the AI Frontier: Applications and value of deep learning
² Gartner, Our Top Data and Analytics Predicts for 2019, Andrew White, January 3, 2019

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