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What is a Distributed Storage System

Scalegrid

Future Trends in Distributed Storage Technology The fusion of cloud computing and distributed storage technology is charting the course for future developments, transforming data processing and management techniques. This integration enhances the flexibility of cloud services while bolstering their computational and storage functions.

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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. Many are uncomfortable with the idea that an artificial intelligence exists alongside human intelligence. That is understandable.

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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.

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Eye of the Beholder

O'Reilly

The notion that artificial intelligence will help us prepare for the world of tomorrow is woven into our collective fantasies. If you have any doubts about the virtually inexhaustible power of our biases, please read Thinking, Fast and Slow by Nobel laureate Daniel Kahneman. That’s because AI algorithms are trained on data.

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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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Generative AI in the Enterprise

O'Reilly

And of course, companies that don’t use AI don’t need an AI use policy. The field may have evolved from traditional statistical analysis to artificial intelligence, but its overall shape hasn’t changed much. AI users also need to expect incorrect answers and to be equipped to check virtually all the output that an AI produces.

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5 key areas for tech leaders to watch in 2020

O'Reilly

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. there’s a Python library for virtually anything a developer or data scientist might need to do. Interestingly, R itself continues to decline.