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Agentic AI: 6 promising use cases for business

CIO

Software development Agentic AI promises to transform AI coding assistants, or copilots, into smarter software development tools that write large pieces of code. The idea that presents itself is having this kind of catalog of the actions that can be done, and having an AI that is intelligent enough,” he says.

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Code-generating platform Magic challenges GitHub’s Copilot with $23M in VC backing

TechCrunch

Magic, a startup developing a code-generating platform similar to GitHub’s Copilot , today announced that it raised $23 million in a Series A funding round led by Alphabet’s CapitalG with participation from Elad Gil, Nat Friedman and Amplify Partners. So what’s its story?

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When your AI chatbots mess up

CIO

But as the numbers of new gen AI-powered chatbots grow, so do the risks of their occasional glitches—nonsensical or inaccurate outputs or answers that are not easily screened out of the large language models (LLMs) that the tools are trained on. Hallucinations occur when the data being used to train LLMs is of poor quality or incomplete.

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Obrizum uses AI to build employee training modules out of existing content

TechCrunch

The market for corporate training, which Allied Market Research estimates is worth over $400 billion, has grown substantially in recent years as companies realize the cost savings in upskilling their workers. By creating what Agley calls “knowledge spaces” rather than linear training courses. ” Image Credits: Obrizum.

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AI & the enterprise: protect your data, protect your enterprise value

CIO

This will require the adoption of new processes and products, many of which will be dependent on well-trained artificial intelligence-based technologies. Stolen datasets can now be used to train competitor AI models. The company later estimated losses of $100 million due to the attack. Years later, here we are.

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AI agents loom large as organizations pursue generative AI value

CIO

In such systems, multiple agents execute tasks intended to achieve an overarching goal, such as automating payroll, HR processes, and even software development, based on text, images, audio, and video from large language models (LLMs). How multiagents operate depends on the tasks and goals they’re designed to accomplish.

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3 steps to eliminate shadow AI

CIO

Generative AI models can perpetuate and amplify biases in training data when constructing output. If not properly trained, these models can replicate code that may violate licensing terms. The generated code could contain undetected malicious code that further risks the severe consequences of a data breach and system downtime.