2017 Security Challenges Are You Prepared

CIOs need a risk management plan to guide their investments in artificial intelligence (AI). CIOs should compare the business value of AI opportunities, their willingness to accept risks, and the cost to manage AI risk to acceptable levels. In this complimentary webinar, Gartner expert Paul Proctor answers the most pressing questions on balancing risk with AI initiatives.

Talend offers the most complete solution for your data and application integration projects with unified API development, application integration, data integration, and data quality. In this session, you will see how easy it is to create, document, test, and share APIs in Talend’s Data Fabric Platform.

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.

Python is a very popular, easy-to-use language that is widely adopted by developers, admins, and data scientists. However, here be dragons! Many people who pick up Python lack proper coding discipline, which results in code that is hard to maintain, and that runs painfully slow.