Jake Dolezal is a contributing analyst at GigaOm. He has two decades of experience in the information management field, with expertise in analytics, data warehousing, master data management, data governance, business intelligence, statistics, data modeling and integration, and visualization. Jake has solved technical problems across a broad range of industries, including healthcare, education, government, manufacturing, engineering, hospitality, and restaurants. He has a doctorate in information management from Syracuse University.
MLOps is a practice for collaboration between data science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of “machine learning”…Read More
The fundamental underpinnings of most organizations are their transactions. These must be done well, with integrity, and with good performance. Not only…Read More
Data security has become an immutable part of the technology stack for modern applications. Protecting application assets and data against cybercriminal activities,…Read More
Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning.…Read More
With machine learning progressing into the enterprise and bringing with it the ability to utilize every bit of data possible, it is…Read More
Today’s complex and demanding business environments engender more heterogeneous systems, resulting in new requirements to synchronize master data. Master data management (MDM)…Read More