Best Practices Report: Unified Data Management and Analytics Pipeline (GMT Timezone)
Webinar Speaker: James Kobielus, Senior Research Director, Data Management
Date: Wednesday, May 4, 2022
Time: 10:00 a.m. GMT
Enterprises are converging the processes under which they prepare data and machine learning models for production environments. Convergence of these processes—increasingly known as the DataOps and MLOps pipelines—is a key enabler for operationalization of artificial intelligence, advanced analytics, and other sophisticated data applications.
TDWI recently published a survey-driven best practices report (BPR) analyzing responses by data management and advanced analytics professionals on their current activities and future initiatives in operationalizing DataOps and MLOps pipelines. The study examines how a converged pipeline can drive improvements in data analytics operationalization while benefitting from enterprise investments in cloud computing, data catalogs, data lakes, and data governance.
Join TDWI’s senior research director James Kobielus on this webinar in which he discusses the BPR’s findings and provides recommendations for practitioners looking to improve their organizations’ DataOps and MLOps pipelines. He will discuss:
- Leading trends that are spurring enterprise data professionals to converge organizational processes for operationalizing data and advanced analytics
- Necessary infrastructure, tooling, and skills for successful convergence of DataOps and MLOps pipelines
- Deployment patterns for converged DataOps/MLOps pipelines with respect to enterprise investments in data lakes, data warehousing, data governance, data catalogs, metadata management, and other infrastructure