The Role of Artificial Intelligence and Cognitive Computing in a Digital World

In the next installation of the DBmaestro Academy, Brady Byrd and Chris Lucca dived deep into the four tenets of database DevOps:Defining and enforcing the process for making changes,Environment configuration management,Version everything in source control,Establish DB development policies for everyone.

In this webinar, visual effects and digital production company Digital Domain will share their experience developing AI-based toolsets for applying deep learning to their content creation pipeline. AI is no longer just a research project but also a valuable technology that can accelerate labor-intensive tasks, giving time and control back to artists.

The next five years in healthcare will continue to focus on the adoption of disruptive and innovative technologies such as artificial intelligence and machine learning, which will drive digital transformation forward at a rapid pace. While AI has experienced over-hyped promised and the health industry has taken a cautious approach to the use of AI technologies, progress is genuinely being made today. This webinar will highlight 3 AI predictions from IDC Health Insights’ Top 10 predictions for 2019 and identify relevant AI use cases for digital transformation..

Recent technological advancements have accelerated the integration of AI and machine learning models into more and more processes. However, model risk must be effectively managed. If left unchecked, the consequences of model risk can be severe. AI and machine learning models require constant monitoring and effective validation – this is not only a regulatory requirement in many industries but also sound business practice. On this webinar, Seph Mard, Head of Model Risk Management at DataRobot and Peter Simon, Financial Markets Practice Data Scientist at DataRobot will present the cornerstones of effective modern model risk management in the age of AI and machine learning. It provides.