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Top 7 generative AI use cases for business

CIO

Many of the AI use cases entrenched in business today use older, more established forms of AI, such as machine learning, or don’t take advantage of the “generative” capabilities of AI to generate text, pictures, and other data. Coding assistants One of the use cases for gen AI that pops up the most frequently is the coding assistant.

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LiLz uses computer vision to read gauges and dials where humans prefer not to tread

TechCrunch

LiLz makes it possible to keep an eye on such inconvenient physical interfaces remotely with a clever and practical application of machine learning. They’ve mainly been iterating on the software, making it able to be updated remotely, improving accuracy and resilience to disturbance, and adding data sharing and other features.

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Anthropic’s Claude improves on ChatGPT, but still suffers from limitations

TechCrunch

Relatedly, Claude is a poorer programmer, better explaining its code but falling short on languages other than Python. Elton was able to prompt Claude to invent a name for a chemical that doesn’t exist and provide dubious instructions for producing weapons-grade uranium. — Dan Elton (@moreisdifferent) January 7, 2023.

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The future of healthcare: Why enterprises must embrace AI innovation

CIO

The intersection of AI, software, and data management is set to revolutionize healthcare and will serve as a critical driver of medical innovation and improved patient outcomes. By analyzing vast datasets, AI can identify new chemical combinations and potential treatments for diseases like ALS and Alzheimer’s.

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Predictive Maintenance: Employing IIoT and Machine Learning to Prevent Equipment Failures

Altexsoft

Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. Predictive maintenance became possible due to the arrival of Industry 4.0, the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. IIoT system.

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Cepsa Química improves the efficiency and accuracy of product stewardship using Amazon Bedrock

AWS Machine Learning - AI

Generative AI empowers organizations to combine their data with the power of machine learning (ML) algorithms to generate human-like content, streamline processes, and unlock innovation. He has more than 8 years of experience with big data and machine learning projects in financial, retail, energy, and chemical industries.

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CIO 100 Award winners prove the transformative value of IT

CIO

Moreover, CarMax found that its customers wanted information from reviews and ratings submitted by other consumers. So, the CarMax technology and content teams recognized the need to create a new system that could produce updated vehicle information and analyze and summarize customer reviews at scale.