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Tech leaders weigh in on the upside and flipside of generative AI

CIO

We ran workshops with every division of our business, educating them on the accelerating innovation in this area, brainstorming opportunities and risks. This makes it almost impossible to monetize, and, therefore, fund the implementation and usage of the algorithms. But overall, we see this as a huge opportunity.

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The four Es of AI: Keeping up with the trend that never sleeps

CIO

And direct your colleagues to self-service channels so that they may access materials and learn at their own pace. Brainstorm how generative AI could make your processes (and the people supporting those processes) more intelligent and productive. Have them ready for impromptu meetings, town hall presentations, and other settings.

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Content Optimization 101: How to Rank Higher in Search

Similarweb

Search engines gather and rank all content produced per search query with crawlers and then run those rankings through algorithms to determine how relevant and high-quality content is, and therefore, what page of the search engine it appears on. . Next, brainstorm. Keyword stuffing is actually penalized by search engine algorithms.

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5 TIPS TO LAUNCH A CAREER IN AI

Evalueserve

Businesses have caught on and are investing more and more to turn their data into competitive advantages, from operations to market intelligence. Within the company, we have a training and learning initiative, which we call the einstein Learning Platform. One thing to remember is you will learn along the way.

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5 methods to adopt responsible generative AI practice at work

CIO

The rise of cloud platforms and module repositories means that writing modern applications is as much about gluing together components and APIs, refactoring existing code, optimizing environments, and orchestrating pipelines as it is about coming up with algorithms. Start small with areas that aren’t critical and learn from what works.

Copywrite 674
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6 generative AI hazards IT leaders should avoid

CIO

Take for instance processes and workflows where algorithmic bias could become a factor such as in HR and hiring. Treat it as a brainstorming discussion that stimulates new ideas rather than something that will produce the perfect idea for you fully baked. He does see opportunities, though, to use GenAI as a sidekick. “It

IT 835
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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

Datapine Blog

You can start broad, by brainstorming and drafting a guideline for specific questions about data you want to uncover. 4% of the time is spent on refining the algorithms. Usually, regression analysis is based on past data, allowing you to learn from the past for better decisions about the future. Who are they?