Data fabrics can incorporate a wide range of analytics capabilities, including data exploration, business intelligence, natural language processing, and machine learning. Jeff Fried from InterSystems tells us what we need to know about the technology.
- By James E. Powell
- April 23, 2021
An open data lake analytics approach will augment (and over time surpass) adoption of data warehousing given the significant long-term strategic benefits it provides to companies, Ahana's Dipti Borkar argues.
- By James E. Powell
- April 12, 2021
AutoML can solve many of the problems businesses face, but not all. Democratization of machine learning can make a difference. Adam Carrigan, co-founder and COO of MindsDB, explains.
- By James E. Powell
- April 5, 2021
A new professor ambassador program focuses on highlighting educators who are training the future generation of workers to help their employers build a data-driven culture for competitive advantage.
- By Richard Seeley
- April 2, 2021
How is the concept of data literacy evolving? Roman Stanek, CEO and founder of GoodData, discusses how organizations need to move beyond last year's model to help users derive more business value from data.
- By James E. Powell
- March 1, 2021
Don Foster, vice president, global sales engineering at Commvault, explains how containers free DevOps teams from worrying about tweaking applications for specific environments so they can focus more on development and innovation.
- By James E. Powell
- January 4, 2021
What does 2021 have in store for data-related technologies? Heine Krog Iversen, founder and CEO of TimeXtender, discusses the data journey in the coming year, including the demand for self-service analytics, and the continued growth of AI and cloud computing.
- By James E. Powell
- December 15, 2020
Data is data is data, right? Not so fast. As Scott Lucas, head of marketing at Concentric, points out, enterprises need more than a one-size-fits-all approach to data security.
- By James E. Powell
- December 3, 2020