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What does an AI consultant actually do?

CIO

Whether healthcare, retail or financial services each industry presents its own challenges that require specific expertise and customized AI solutions. In this context, collaboration between data engineers, software developers and technical experts is particularly important. Implementation and integration.

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10 generative AI certs and certificate programs to grow your skills

CIO

There are an additional 10 paths for more advanced generative AI certification, including software development, business, cybersecurity, HR and L&D, finance and banking, marketing, retail, risk and compliance, prompt engineering, and project management. Cost : $4,000

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

CIO

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare.

Data 209
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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 198
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P&G turns to AI to create digital manufacturing of the future

CIO

The company has already undertaken pilot projects in Egypt, India, Japan, and the US that use Azure IoT Hub and IoT Edge to help manufacturing technicians analyze insights to create improvements in the production of baby care and paper products. These things have not been done at this scale in the manufacturing space to date, he says.

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Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52
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Should you build or buy generative AI?

CIO

To get good output, you need to create a data environment that can be consumed by the model,” he says. You need to have data engineering skills, and be able to recalibrate these models, so you probably need machine learning capabilities on your staff, and you need to be good at prompt engineering.