Remove Artificial Intelligence Remove Business Intelligence Remove Data Engineering
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10 most in-demand enterprise IT skills

CIO

Its a common skill for cloud engineers, DevOps engineers, solutions architects, data engineers, cybersecurity analysts, software developers, network administrators, and many more IT roles. Oracle enjoys wide adoption in the enterprise, thanks to a wide span of products and services for businesses across every industry.

UI/UX 203
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When is data too clean to be useful for enterprise AI?

CIO

You can’t treat data cleaning as a one-size-fits-all way to get data that’ll be suitable for every purpose, and the traditional ‘single version of the truth’ that’s been a goal of business intelligence is effectively a biased data set. There’s no such thing as ‘clean data,’” says Carlsson.

Data 211
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Technology Trends for 2025

O'Reilly Media - Ideas

This year, one thread that we see across all of our platform is the importance of artificial intelligence. Artificial Intelligence It will surprise absolutely nobody that AI was the most active category in the past year. So what does our data show? Theres a different take on the future of prompt engineering.

Trends 132
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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

The customer relationship management (CRM) software provider’s Data Cloud, which is a part of the company’s Einstein 1 platform, is targeted at helping enterprises consolidate and align customer data. Artificial Intelligence, Business Intelligence and Analytics Software, CRM Systems, Databases, Enterprise Applications

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What is Data Engineer: Role Description, Responsibilities, Skills, and Background

Altexsoft

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

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3 promises every CIO should keep in 2025

CIO

Were going to identify and hire data engineers and data scientists from within and beyond our organization and were going to get ahead, he says. They can build the skills in house, hire from outside, or develop strategic partners with trustworthy companies that have the skills.

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The rise of the data lakehouse: A new era of data value

CIO

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.

Data 210