Accelerating AI and ML at Enterprise Scale
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
Watch on-demand now!