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Why CIOs need a two-tier approach to gen AI

CIO

Moreover, training is also essential in order to ensure AI assistants and copilots can be effective gateway technologies to more sophisticated AI solutions down the line. Customized responses Dhaval Gajjar, CTO of SaaS text marketing platform Textdrip, agrees that these two types of gen AI implementation require different strategies.

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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

Since the introduction of ChatGPT, the healthcare industry has been fascinated by the potential of AI models to generate new content. However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology.

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Thinking of building your own AI agents? Don’t do it, advisors say

CIO

Companies that fail to build their own AI agents will turn to outside AI consulting firms to build custom agents for them, or they will use agents embedded in software from their current vendors, write Forrester analysts Jayesh Chaurasia and Sudha Maheshwari. Kumar adds. Start with one [AI model], and you can start tailoring its behavior.

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7 ways gen AI can create more work than it saves

CIO

And in August, OpenAI said its ChatGPT now has more than 200 million weekly users — double what it had last November, with 92% of Fortune 500 companies using its products. The use of its API has also doubled since ChatGPT-4o mini was released in July. You need people who are trained to see that.

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AI-native software engineering may be closer than developers think

CIO

Caylent, an AWS cloud consulting partner, uses AI to write most of its code in specific cases, says Clayton Davis, director of cloud-native development there. For example, OpenAI is touting its latest version of ChatGPT as a huge leap forward in coding ability. It may be difficult to train developers when most junior jobs disappear.

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Gen AI can be the answer to your data problems — but not all of them

CIO

Companies use gen AI to create synthetic data, find and remove sensitive information from training data sets, add meaning and context to data, and perform other higher-level functions where traditional ML approaches fall short. And three years ago, long before ChatGPT hit the scene, it began using gen AI. “We

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The year’s top 10 enterprise AI trends — so far

CIO

With a pre-trained model, you can bring it into HR, finance, IT, customer service—all of us are touched by it.” And at the end of March, Italy banned ChatGPT entirely, before unbanning it again about a month later. Traditional ML requires a lot of data, experienced data scientists, as well as training and tuning.