Modern data architectures fuel innovation

MIT Technology Review 

"Each line of business is driving digital transformation in its own way," says Naveen Kamat, executive director and CTO of data and AI services at Kyndryl, an IT infrastructure services provider. "They are setting up their own apps in the cloud, which generate data daily. The enterprise data estate is becoming much, much bigger; it's becoming much more complex to manage." The insurance industry provides an example of today's data landscape complexity. One substantial challenge to good data management in insurance is a plethora of legacy systems built up over the years, says Ali Shahkarami, chief data officer at Allianz Global Corporate & Specialty (AGCS).

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