How to bridge the gap between Data Science and IT in the Enterprise

Open-source technologies have had a significant impact on data science and machine learning innovation in the enterprise. However, many data science teams are still struggling to expand open-source adoption within their organizations due to potential security and vulnerabilities threats. Envision a world where data scientists can rely on open source innovation while managing Python and R packages and their dependencies, quickly delivering insights into the hands of decision-makers. How would that impact your business? If your team is ready to follow your organization’s IT security guidelines, while still benefiting from the power of open source, join us for this webinar as we discuss: - How to secure your AI/ML pipelines. - How IT and data science teams are establishing joint workflows and processes to optimize AI workloads. - Helpful resources to remediate risks and adhere to enterprise governance and compliance guidelines. About the speaker: With more than 25 years of product and development experience for a wide range of industries, Saundra Monroe is now the Principal Product Manager for Anaconda. Saundra has held numerous leadership roles where she was responsible for driving the growth of various product platforms while working directly with customers defining new features to accelerate customer acquisition, drive engagement, and improve retention. This webinar is co-hosted in partnership with Anaconda and Red Hat. As a result, both Red Hat and Anaconda are collecting your personal data when you submit such information as part of the registration process above. For more information on each party’s privacy practices, please see: Red Hat’s Privacy Statement: www.redhat.com/en/about/privacy-policy Anaconda' privacy policy: www.f5.com/company/policies/privacy-notice