Remove Data Analytics Remove Digital Transformation Remove Machine Learning Remove Uncertainty
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Why CIOs should invest in digital through economic headwinds

CIO Business Intelligence

Resilient cybersecurity Despite the clamour for new digital investments, Gartner’s analysts did recognise that this would represent a new cybersecurity risk, with some attributing the increased spending in security over the next year down to ongoing uncertainty regarding Russia’s invasion of Ukraine.

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Serving the Public Through Data

Cloudera

Digital transformation has been talked about for many years, but the pandemic has accelerated the digital transformation journeys for many enterprises. While going digital may be commonly associated with the private sector, governments and the organizations in the public sector have much to gain by going digital as well.

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Connect the Data Lifecycle: The power of data

Cloudera

While a traditional data lifecycle can ingest, process, store and analyze data-at-rest for operational insights, a connected data lifecycle takes into account the holistic view of the entire data journey from edge to cloud across data-in-motion and data-at-rest.

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What Will Drive Innovation in this Great Reset

Andrew White

In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. AI and machine learning will help, along with other data and analytics capabilities. I say “what” since increasingly more machines will be given the ability to decide.

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Oshkosh puts digital solutions into overdrive

CIO Business Intelligence

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today? Khare: I look at uncertainty at two tiers.

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Oshkosh puts digital solutions into overdrive

CIO Business Intelligence

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today? Khare: I look at uncertainty at two tiers.

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Upskilling and reskilling for talent transformation in the era of AI

IBM Big Data Hub

As the AI era takes shape through digital transformation initiatives, executives and employees alike are contemplating how it affects employment and the skills needed to stay ahead. Reskilling refers to learning an entire set of new skills to do a new job. This is where AI upskilling and reskilling come into play.