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How customers can save money during periods of economic uncertainty

CIO Business Intelligence

Saving money is a top priority for many organizations, particularly during periods of economic uncertainty. Yesterday’s hub-and-spoke networks and castle-and-moat security models were adequate when users, applications, and data all resided onsite in the corporate office or data center.

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Determining ROI in Uncertain Times

Jet Global

CFOs have an opportunity to play a key role in positioning their companies for a successful rebound by carefully assessing return on investment (ROI) and helping the C-suite make the right capital investments. ROI Analysis. Shifting Business Models. Investing in Financial Intelligence. Diversification and Risk.

ROI 59
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Novanta’s Sarah Betadam on transforming the IT model status quo

CIO Business Intelligence

Over the next five years, the healthcare industry is expected to go through dramatic changes as service providers expand value-based care models and equipment manufacturers strive to keep pace in a digital-first world. A lot of IT organizations are being asked to minimize risk and focus on projects that deliver a definable and maximum ROI.

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Are You Using a Cloud Experience to Boost Business Value?

CIO Business Intelligence

Like most CIOs you’ve no doubt leaned on ROI, TCO and KPIs to measure the business value of your IT investments. Of late, concerns about the public “cloud-first” approach have emerged to challenge business value and skewer ROI, TCO and KPIs. Maybe you’ve even surpassed expectations in each of these yardsticks.

ROI 111
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What you need to know about product management for AI

O'Reilly on Data

Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models. Machine learning adds uncertainty. Models also become stale and outdated over time.

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Microsoft and Cognizant team up to boost enterprise Copilot adoption

CIO Business Intelligence

The announcement comes amid reluctance among some CIOs regarding the ROI of generative AI copilots. AI concerns remain While the collaboration between Microsoft and Cognizant might help CIOs better integrate generative AI into their enterprise strategies, its use still carries uncertainties, Marr said.

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Machine Learning Product Management: Lessons Learned

Domino Data Lab

Unfortunately, a common challenge that many industry people face includes battling “ the model myth ,” or the perception that because their work includes code and data, their work “should” be treated like software engineering. This work includes model improvements as well as adding new signals and features into the model.