Abstract: To be competitive, organizations have to put more models into production more rapidly than ever before. At the same time, data scientists have to ensure trust, repeatability and transparency in those models. ModelOps, a superset of MLOps, gives data scientists the capabilities they need to adapt quickly while maintaining model integrity. SAS and Red Hat will explore how ModelOps can be used to identify, address and solve these operational complexities. The outcome? Greater model productivity and efficiency that gets your organization from data to decisions faster.
Bio: Chris Wright is Senior Vice President and Chief Technology Officer (CTO) at Red Hat. He leads the Office of the CTO, which is responsible for incubating emerging technologies and developing forward-looking perspectives on innovations like artificial intelligence, cloud and edge computing, distributed storage, software-defined networking and network functions virtualization, containers, automation and continuous delivery, and distributed ledgers. During his 25 years as a software engineer, Wright has worked in the telecommunications industry and beyond on high-availability and distributed systems. He also has experience in the Linux® industry on security, virtualization, and networking. Wright has been a Linux developer for more than 15 years, with most of this time spent working deep in the Linux kernel. He is passionate about open source software serving as the foundation for next-generation IT systems.