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

TechCrunch

Anthropic , the startup co-founded by ex-OpenAI employees that’s raised over $700 million in funding to date, has developed an AI system similar to OpenAI’s ChatGPT that appears to improve upon the original in key ways. Called Claude, Anthropic’s system is accessible through a Slack integration as part of a closed beta.

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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. Many AI experts say the current use cases for generative AI are just the tip of the iceberg.

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The future of healthcare: Why enterprises must embrace AI innovation

CIO

Advanced diagnostic procedures such as MRIs, CAT scans, and X-rays are now benefiting from AI’s ability to assist radiologists by highlighting potential issues that may be overlooked during manual reviews. By analyzing vast datasets, AI can identify new chemical combinations and potential treatments for diseases like ALS and Alzheimer’s.

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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. The system was built before Anthropic Claude 2.1 Anthropic Claude 2.0 or the Anthropic Claude 3 model family were available on Amazon Bedrock).

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

Altexsoft

Source: Tibbo Systems. Major cons: high repair cost, safety risks, the potentially greater damage to machines. 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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DS Smith sets a single-cloud agenda for sustainability

CIO

We collect lots of sensor data on machine performance, vibration data, temperature data, chemical data, and we like to have performative combinations of those datasets,” Dickson says. 2, machine learning/AI (31%), the packaging company has three use cases in proof of concept. As for No.

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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.