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What you don’t know about data management could kill your business

CIO

But at the other end of the attention spectrum is data management, which all too frequently is perceived as being boring, tedious, the work of clerks and admins, and ridiculously expensive. Still, to truly create lasting value with data, organizations must develop data management mastery. And here is the gotcha piece about data.

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Innovating Services for a Digital, Intelligent Future

CIO

Tackling the challenges of intelligent transformation However, many organisations continue to struggle with tight budgets, resistance to change, and perennial shortages of skill sets and staff. Designing and deploying a new ICT infrastructure, capable of handling the masses of data AI requires, is inherently complex.

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The 10 most in-demand tech jobs for 2023 — and how to hire for them

CIO

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. Companies will have to be more competitive than ever to land the right talent in these high-demand areas.

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What is data governance? Best practices for managing data assets

CIO

Lack of resources: Data governance initiatives can struggle for lack of investment in budget or staff. Data governance must be owned by and paid for by someone, but it rarely generates revenue on its own. Data governance and data management overall, however, are essential to leveraging data to generate revenue.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.

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Unlock business value by modernizing your data infrastructure

Capgemini

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. Companies need to find ways to get this cost down while improving the quality of data. .

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DATA, DATA EVERYWHERE – NOT A BYTE TO USE

Trigent

Big Data / Fast Data – Do I need both? Big data is the vast amounts of structured and unstructured data generated from customer interactions, IoT devices, social media, and more. Big data insights are used to identify market trends, determine value propositions, and influence product design.

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