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The future of data: A 5-pillar approach to modern data management

CIO

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. Operational errors because of manual management of data platforms can be extremely costly in the long run.

Data 167
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To ensure AI success, map your value streams, says Neudesic

CIO

Australian organisations are not moving as quickly as their counterparts in preparing for and fully adopting AI for business transformation. Research from IBM indicates that only 15% of global businesses have established themselves as leaders in AI implementation, while the majority remain in early experimental phases.

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DataOps – A Catalyst for Enterprise Business Transformation

RapidValue

DataOps aids data practitioners to continuously deliver quality data to applications and business processes. The end-users of data, like the data analysts and data scientists, work closely with both data engineers and IT Ops in order to deliver continuous data movement.

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Enhancing customer care through deep machine learning at Travelers

CIO

Collectively, the scope spans about 1,600 data analytics professionals in the company and we work closely with our technology partnersâ??more that cover areas of software engineering, infrastructure, cybersecurity, and architecture, for instance. But we have to bring in the right talent. This is kind of a team sport for us, so itâ??s

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An Insider’s View of Data-Driven Business Transformation in the Nordics

TIBCO - Connected Intelligence

To better understand data-driven innovation in the Nordics, I reached out to Enfo Group’s Björn Arkenfall , Executive Vice President. We are a Nordic IT service company enabling our client’s data-driven business transformation. How are Nordics organizations transforming today? “I Hallå Björn. Click To Tweet.

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10 generative AI certs and certificate programs to grow your skills

CIO

This specialization features five courses, including introduction and applications; prompt engineering basics; foundation models and platforms; impact, considerations, and ethical issues; and business transformation and career growth. Cost : $4,000

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Snowflake and Capgemini powering data and AI at scale

Capgemini

This is a critical consideration as many organizations face data-estate hurdles. It means they must manage and innovate on a data and reporting ecosystem of technology which has been developed over the last couple of decades. To read the full whitepaper, click here.

Data 52