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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Cloud maturity models are a useful tool for addressing these concerns, grounding organizational cloud strategy and proceeding confidently in cloud adoption with a plan. Cloud maturity models (or CMMs) are frameworks for evaluating an organization’s cloud adoption readiness on both a macro and individual service level.

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FinOps SaaS: The missing piece of the puzzle

CIO Business Intelligence

With more and more businesses moving to the Cloud, FinOps is becoming a vital framework for efficiently controlling Cloud expenses. FinOps, which was first created to maximise the use of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) models, is currently broadening its scope to include Software as a Service (SaaS).

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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

If expectations around the cost and speed of deployment are unrealistically high, milestones are missed, and doubt over potential benefits soon takes root. The right tools and technologies can keep a project on track, avoiding any gap between expected and realized benefits. But this scenario is avoidable.

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How managed device services enable the inclusion of sustainability principles into IT

CIO Business Intelligence

This was one area addressed in the HP-sponsored IDC whitepaper on the benefits of integrating managed device services, published in April 2024 [1]. Adopting a Managed Device Services model significantly reduces many of these end-of-life headaches and helps ensure compliance.

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How Mapfre gets cloud to coexist with its tech model ambitions

CIO Business Intelligence

We internally analyzed the improvements we had to provide and, together with the CIOs in all the countries where Mapfre operates, we defined a very solid strategy that aligns with the business objectives, and we’re implementing that now. This change in platform also entails a data governance model and operational changes.

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Strategize, modernize, and lead: Transform your business with application portfolio modernization

CIO Business Intelligence

Furthermore, the growing importance of AI necessitates the modernization of AI models and data pipelines to prevent issues like model drift and bias. Define clear objectives and secure executive buy-in Articulate challenges and benefits: Communicate the challenges posed by legacy applications and the potential benefits of APMR.

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

CIO Business Intelligence

A common but critical challenge I hear from CIOs, CTOs, and CDOs every day is that they have a difficult time helping the C-suite understand that IT is the very architecture for the future of business, not a cost center. How do you convince decision-makers to collaborate on linking IT strategy with business strategy?

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