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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

In the case of artificial intelligence (AI) and machine learning (ML), this is different. Both concepts are virtually omnipresent and at the top of most buzzword rankings. Definitely, because they offer business and society fascinating possibilities. Artificial intelligence helps to satisfy the customer.

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Fearing the Wrong Thing

O'Reilly

You still have to write prompts, and we’re all in the process of learning that if you want ChatGPT to do a good job, the prompts have to be very detailed. Programming without virtual punch cards. My own sense, from talking to and observing many people over the years, falls into the lower end of that range: 15% to 20%.

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Rethinking the 'production' of data

All Things Distributed

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers. More than mere support.

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Generative AI in the Enterprise

O'Reilly

Users and Nonusers AI adoption is in the process of becoming widespread, but it’s still not universal. Until AI reaches 100%, it’s still in the process of adoption. Automating the process of building complex prompts has become common, with patterns like retrieval-augmented generation (RAG) and tools like LangChain.

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What is APM?

Dynatrace

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Mobile apps, websites, and business applications are typical use cases for monitoring.

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What We Learned Auditing Sophisticated AI for Bias

O'Reilly

A recent sampling of headlines features sociological bias in generated images , a chatbot , and a virtual rapper. In particular, NIST’s SP1270 Towards a Standard for Identifying and Managing Bias in Artificial Intelligence , a resource associated with the draft AI RMF, is extremely useful in bias audits of newer and complex AI systems.