Budget Business Intelligence Guidelines Research 
CIO Business Intelligence
JANUARY 26, 2023
IT leaders seeking to drive enterprise growth through technology investments are often saddled with budgets that make their tasks of increasing the top and bottom lines challenging. Despite an estimated increase to IT budgets of 5.1% on average for 2023, research firm Gartner points to a projected 6.5%
CIO Business Intelligence
DECEMBER 19, 2022
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CIO Business Intelligence
MARCH 24, 2023
The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Lack of resources: Data governance initiatives can struggle for lack of investment in budget or staff.
CIO Business Intelligence
APRIL 6, 2022
One in five dollars is now spent online, according to the Center for Retail Research, a firm based in Norwich, England that provides research and analysis about the retail industry—more than twice the proportion of a decade ago. In the meantime, legal claims continue to proliferate that eat up time and budget.
CIO Business Intelligence
JANUARY 31, 2024
Salesforce’s AI Research team has also developed methods such as maximum parallelism, he adds, which split up compute-intensive tasks efficiently to reduce energy use and carbon emissions. Always ask if AI/ML is right for your workload,” recommends AWS in its sustainability guidelines.
CIO Business Intelligence
MARCH 7, 2024
How much of this usage is part of ‘approved and budgeted’ corporate policy and programs? A good rule of thumb for implementing a new capability like AI is to set guidelines in collaboration with IT, legal, and the CISO organization. That is a great question, and there’s a lot to unpack in answering it. And how much is ‘bootleg’ usage?
CIO Business Intelligence
JUNE 7, 2022
Although research proved the system worked, what his company didn’t know was that car brands prefer LIDAR over computer vision because of its proven reliability, and there was no chance they would buy a computer vision–based product. “In AI product managers also need to understand the ethical implications of working with AI, Owczarek adds.
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