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% The year 2023 seems to be no different. We obviously won’t cut investments here.

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CIO Business Intelligence

MARCH 22, 2022

He has assisted the top management in planning IT strategies and leveraging technologies for rationalizing manpower, enhancing organizational productivity, and improving the efficiency of operations. Amit Goel joins Blox as CTO. Real estate buying platform Blox has appointed Amit Goel as its chief technology officer, based in Mumbai.

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CIO Business Intelligence

JANUARY 9, 2023

The need to grow smartly Gil Westrich’s company, ClearML, is benefiting from increased adoption of artificial intelligence and machine learning (ML) technology. But the CTO and co-founder says that scaling to meet that demand presents its own challenges, which require self-reflection. How do we grow our business responsibly?”

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CIO Business Intelligence

JANUARY 17, 2024

I take what I learned in the scriptwriting seminar about passion and the narrative arc into every meeting I attend,” one chief technology officer said. So here, we explore why so many IT leaders attempt to improve this sense of narrative and ability to spin tales, and how it can make a difference to the business. “For

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CIO Business Intelligence

NOVEMBER 7, 2022

“There’s been a fundamental hunger for the responsive creation of new digital capabilities through the dawn of computing and now there’s actually an ability to deliver systems at the speed of business,” Betz says. Organizations don’t want fractional allocation — people rolling on to a project and rolling off,” he explains.

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CIO Business Intelligence

AUGUST 1, 2023

As many CIOs prepare their 2024 budgets and digital transformation priorities, developing a strategy that seeks opportunities to evolve business models, targets near-term operational impacts, prioritizes where employees should experiment, and defines AI-related risk-mitigating plans is imperative.

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