Remove Artificial Intelligence Remove Innovation Remove Training Remove Tuning
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Tech Transforms podcast: How one federal agency is embracing AI to support and empower its cyber workforce

Dynatrace

Is artificial intelligence (AI) here to steal government employees’ jobs? These are some of the questions that Willie Hicks, Dynatrace’s Federal CTO, and I unpacked with Patrick Johnson, director of the Workforce Innovation Directorate in the Department of Defense’s (DoD) Office of the CIO.

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What is IT automation?

Dynatrace

Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. While automating IT processes without integrated AIOps can create challenges, the approach to artificial intelligence itself can also introduce potential issues.

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AI Has an Uber Problem

O'Reilly

It is a dark pattern, a map to suboptimal outcomes rather than the true path to competition, innovation and the creation of robust companies and markets. In a well-functioning market, many startups would have explored a technology innovation like on-demand transportation over a much longer period. I disagree.

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Best Practices in Cloud Security Monitoring

Scalegrid

To combat this issue, certain strategies are recommended such as prioritizing alerts based on severity levels, reducing false positives through advanced detection techniques, automating response protocols for faster action-taking, and providing adequate training and resources for personnel responsible for managing security.

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Creativity Isn’t Just Remixing

O'Reilly

Ethan Mollick (with whom I rarely disagree) writes, “In the real world, most new ideas do not come from the ether; they are based on combinations of existing concepts, which is why innovation scholars have long pointed to the importance of recombination in generating ideas.” You wouldn’t get Beethoven without the works of Haydn and Mozart.

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Generative AI in the Enterprise

O'Reilly

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. Training models and developing complex applications on top of those models is becoming easier. of nonusers, 5.4%

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The OpenAI Endgame

O'Reilly

Since The New York Times sued OpenAI for infringing its copyrights by using Times content for training, everyone involved with AI has been wondering about the consequences. And, more importantly, how will the outcome affect the way we train and use large language models? How will this lawsuit play out? Here’s mine.