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Giant Eagle CIO Kirk Ball’s recipe for digital transformation success

CIO Business Intelligence

In a recent episode of the Tech Whisperers podcast , Ball talked about how these 7 Cs inform his leadership philosophies and playbook. Afterwards, we spent some more time discussing his extensive track record with digital transformation, including how to set up digital initiatives for success.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Organizations face increased pressure to move to the cloud in a world of real-time metrics, microservices and APIs, all of which benefit from the flexibility and scalability of cloud computing. An examination of cloud capabilities and maturity is a key component of this digital transformation and cloud adoption presents tremendous upside.

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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. 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.

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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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Common cloud migration challenges and how to manage them

IBM Big Data Hub

Cloud computing continues to grow in popularity, and its scalability, functionality, cost-effectiveness and other potential benefits have helped transform traditional business models and update legacy systems, creating opportunities for various organizations. a migration will be.

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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. The team leaned on data scientists and bio scientists for expert support.

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On-Prem vs. Cloud: What You Need to Know About Migrating to Azure

CDW Research Hub

Gone are the days where the cloud is referenced as “becoming” an essential stepping stone in companies’ digital transformation journey. Cloud technologies are currently at the center of the digital transformation revolution, and companies that have not adopted a cloud mentality are being left behind in yesterday’s digital stone age.