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• Linein ibm software#

We know when data stops, companies lose business. “We’re excited about the fast-growing data observability market.

“Bad data is expensive,” Gilfix told CRN. That makes this an exciting acquisition, said Mike Gilfix, vice president of product management for data and AI at IBM. IBM, citing Gartner, said that poor data quality costs organizations an average of $12.9 million every year while increasing the complexity of data ecosystems and leading to poor decision making. The company also expects the acquisition to help Databand.ai take advantage of IBM’s own R&D investments and other IBM acquisitions.

Linein ibm software#

IBM expects Databand.ai to strengthen its data, AI, and automation software portfolio to ensure trustworthy data goes to the right user at the right time. All of that to say, data observability is the natural evolution of the data quality movement, and it’s making DataOps as a practice possible,” the company said. “The way to achieve this is to pull best practices from DevOps and apply them to Data Operations. Observability helps not only describe a problem for engineers, but also provides the context to resolve the problem and look at ways to prevent the error from happening again, according to Databand.ai. The term “ data observability,” as defined by Databand.ai, is the blanket term for understanding the health and the state of data in a system that allows a business to identify, troubleshoot, and resolve data issues in near real-time. IBM Wednesday unveiled the purchase of Databand.ai, an Israel-based developer of a proactive data observability platform, which claims to catch bad data before it impacts a customer’s business.įinancial details of the acquisition, which actually closed June 27, were not disclosed by IBM.