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What does an AI consultant actually do?

CIO

The spectrum is broad, ranging from process automation using machine learning models to setting up chatbots and performing complex analyses using deep learning methods. Whether healthcare, retail or financial services each industry presents its own challenges that require specific expertise and customized AI solutions.

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New Applied ML Prototypes Now Available in Cloudera Machine Learning

Cloudera

You know the one, the mathematician / statistician / computer scientist / data engineer / industry expert. Some companies are starting to segregate the responsibilities of the unicorn data scientist into multiple roles (data engineer, ML engineer, ML architect, visualization developer, etc.),

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See clearly, spend wisely: The power of data platform observability

Xebia

For example, a retailer might scale up compute resources during the holiday season to manage a spike in sales data or scale down during quieter months to save on costs. For example, data scientists might focus on building complex machine learning models, requiring significant compute resources.

Data 130
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See clearly, spend wisely: The power of data platform observability

Xebia

For example, a retailer might scale up compute resources during the holiday season to manage a spike in sales data or scale down during quieter months to save on costs. For example, data scientists might focus on building complex machine learning models, requiring significant compute resources.

Data 130
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10 most in-demand generative AI skills

CIO

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. AI chatbot AI chatbots have become commonplace in modern society, especially in e-commerce, customer service, and retail.

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What CEOs really need from today’s CIOs

CIO

CIOs who use low-code/no-code platforms and new governance models to create self-service data capabilities are turning shadow IT into citizen developers who can fish for their own data. For example, the CIO of an alcohol distributor saw the company’s catering channel plummet while retail sales spiked. The cloud.

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Henkel embraces gen AI as enabler and strategic disruptor

CIO

But to achieve Henkel’s digital vision, Nilles would need to attract data scientists, data engineers, and AI experts to an industry they might not otherwise have their eye on. The key account manager or the salesperson is looking at the trade promotion data and it’s giving really great hints.