Dynatrace
JANUARY 4, 2024
Artificial intelligence is rapidly transforming the world around us, with applications based on AI emerging in virtually every industry and sector. It can be difficult to understand the basis of AI systems’ decisions, particularly when they are trained on large and complex data sets. AI system bias. Data in context.
Dynatrace
JULY 6, 2022
IT admins can automate virtually any time-consuming task that requires regular application. While automating IT processes without integrated AIOps can create challenges, the approach to artificial intelligence itself can also introduce potential issues. AI that is based on machine learning needs to be trained.
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Dynatrace
JANUARY 16, 2020
One of the fundamental differences between machine learning systems and the artificial intelligence (AI) at the core of the Dynatrace Software Intelligence Platform is the method of analysis. Require training—learning periods—to uncover structure and commonalities and identify normal behavior.
Scalegrid
JANUARY 12, 2024
Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. This applies to both virtual machines and container-based deployments.
O'Reilly
APRIL 30, 2024
Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? We ought to heed Collingridge’s warning that technology evolves in uncertain ways.
O'Reilly
APRIL 5, 2023
The notion that artificial intelligence will help us prepare for the world of tomorrow is woven into our collective fantasies. That’s because AI algorithms are trained on data. And it’s safe to say that most AI algorithms are trained on datasets that are significantly older. Your coat was red or blue.
O'Reilly
OCTOBER 18, 2022
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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