Five Minute Briefing - Information Management
May 11, 2023
Five Minute Briefing - Information Management: May 11, 2023. A concise weekly report with key product news, market research and insight for data management professionals and IT executives.
News Flashes
Frank Cervone, program coordinator of information science and data analytics at San Jose State University, led the Data Summit session, "Developing Database DevOps," to explore how DataOps can be optimized to lead organizations to better business outcomes in regards to both data and analytics work.
Kaladhar Voruganti, senior technologist in office of the chief revenue officer at Equinix, and Rory Kelleher, director of global business development for healthcare at NVIDIA, led Data Summit's session, "Succeeding With AI in the Cloud," to discuss strategies and methods to effectively utilize AI within business operations.
At the annual Data Summit's second keynote presentation, speakers Mike Bechtel, chief futurist at Deloitte Consulting LLC, and Ankit Patel, SVP of engineering at Foursquare, explored the possibilities that await any organization seeking to transform their businesses for the better, highlighting trust and geospatial datasets as the key.
Erwann Millon, founding engineer at Krea.ai, led Data Summit's session, "Taking a Deep Dive Into Cutting-Edge Techniques for Data Management," to discuss best practices for maximizing AI pipelines through an in-depth case study of an inference pipeline serving hundreds of models on multi-cloud clusters.
Financial institutions have rich, customer-centric data and are in a strong position when building AI solutions. Since the functions differ, AI use cases also differ. The recent intense interest in generative AI has given rise to a new aspect of data science: Prompt Engineering, which is basically how humans train models like GPT by creating appropriate prompts. At Data Summit 2023, Supreet Kaur, AVP, Morgan Stanley, discussed "Leveraging Data Science and Generative AI" during her session.
Prioritizing data quality is step one to becoming data-driven. However, what is step one to improving data quality? In most IT suites, the argument is better processes, better data fields, and better technology. Kasara Weinrich, principal consultant, future of work, ADP disagrees. Organizational data literacy is the most important step to truly achieving great data quality, data-driven decision making, and data management. At Data Summit 2023, Weinrich talked about this during her session, "Data as a Second Language: Every Layer of Your Organization Needs to Be Fluent."