Remove Business Objectives Remove Digital Transformation Remove Optimization Remove ROI
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Maximizing business outcomes and scaling AI adoption with a Hybrid by design approach 

IBM Big Data Hub

However, while embracing hybrid cloud might be intrinsic, clients continually seek to derive business value and higher return on investment (ROI) from their investments. The lack of ROI progress can be attributed to several factors, including slow adoption, unrealized use cases and unaddressed cloud sprawl.

ROI 78
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Cloud Analytics Powered by FinOps

Cloudera

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

An examination of cloud capabilities and maturity is a key component of this digital transformation and cloud adoption presents tremendous upside. Optimized: Cloud environments are now working efficiently and every new use case follows the same foundation set forth by the organdization.

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The promise, peril, and potential of the metaverse

CIO Business Intelligence

Other companies are looking at digital twins as a way to increase efficiency, reduce costs and optimize operations. With this objective in mind: Determine your organization’s innovation appetite (versus its risk appetite; it is too early to speak of ROI in the metaverse). Are we trying to improve efficiency?

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Generative AI won’t automate your way to business model innovation

CIO Business Intelligence

In 2022, companies were still reeling from the rapid digital transformation efforts to survive the pandemic. Align with business goals: Clearly articulate how IT initiatives can directly support the broader business objectives of the company and help gain competitive advantages.

Modeling 105
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Belcorp reimagines R&D with AI

CIO Business Intelligence

The second stage focused on building algorithms and models to predict and simulate intricate biological conditions, accelerate discoveries, reduce risks, and optimize the cost-benefit ratio of technological developments using AI solutions. Reimagine business processes. “This allowed us to derive insights more easily.”

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Why CIOs back API governance to avoid tech sprawl

CIO Business Intelligence

Digital transformation and growing reliance on third-party services are key contributors as well, she adds. We must address the value proposition, who the target user is, what the alignment with the business objectives is, and how APIs can be marketed and monetized, if possible,” he says.