Your data and AI tools are important, and outcomes are critical, but with today’s data-driven world, businesses must accelerate outcomes while improving IT cost efficiency. But how do you achieve this?
First, Data and AI initiatives must have intelligent workflows where the data lifecycle can work
Today’s market conditions elevate the need to put trusted data into the right hands almost in real-time. The market has been experiencing a dramatic demand for near-frictionless, fact-based decision-making processes. With business continuity top of mind, leaders are turning to DataOps programs to
Imagine opening your mailbox and seeing a letter addressed to “current resident,” or having your financial institution’s AI powered digital assistant inform you that your replacement card is on its way to your old address.
Most people would take this impersonal letter, throw it in the trash, and go
Haruto Sakamoto, the Chief Information Officer at a Japanese multinational imaging company, had a few challenges to contend with. His business units had a presence in 180 countries worldwide with geographically-dispersed data warehouses and business intelligence applications in various locations.
The IBM Institute for Business Value found that 85 percent of companies manage a multicloud environment. That means an overwhelming majority of businesses use a multicloud approach to enable greater flexibility and application modernization.
Some companies have found that while some clouds are a