With the potential to democratize AI and ML, AutoML is the answer many enterprises across industry verticals have been seeking to take AI projects from pilots to scaled deployments. Adopting Artificial Intelligence (AI) is no longer just to gain competitive advantage; it has become table stakes for mere business survival. However, today's acute shortage of data scientists combined with the continuous effort to automate laborious tasks is posing unprecedented challenges for enterprises. Automated machine learning (AutoML) is poised to help. Why? Traditional machine learning (ML) is a time-consuming, arduous, and iterative task that involves data cleansing and preparation, algorithm training, validation, etc., to imitate the way that humans learn to make predictions or decisions without being explicitly programmed to do so.

By most estimates, fewer than 20% of machine learning projects make it past the initial pilot stage--a staggering stat in and of itself. So, in order to succeed with ML, data scientists must work closely with developers, line of business, and IT operations teams to plan for future needs and model success to help justify costs. Tune into this webcast to explore the biggest challenges faced when implementing a machine learning project, where teams get tripped up, and how to avoid these roadblocks. The recording will also cover advice for IT leaders about how to scale and support a machine learning project as it grows. You forgot to provide an Email Address.

It was 2011 and Watson, a then-new IBM supercomputer, faced off against 74-time "Jeopardy!" Watson, a question-answering artificial intelligence system, would buzz in within a second of host Alex Trebek asking a question, giving what the AI determined to be the most probable answer. By the end of the game, Watson had dominated the show's all-time greats by more than $50,000. By late 2016, Roetzer had become so obsessed by AI's potential in marketing that he founded the Marketing Artificial Intelligence Institute, a group with the mission of making AI approachable and actionable for modern marketers. Roetzer still runs his company, PR 20/20, but he says that his AI group now takes nearly all his time.