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Technology predictions for 2024: Dynatrace expectations for observability, security, and AI trends

Dynatrace

As 2023 shifts into the rearview mirror, technology and business leaders are preparing their organizations for the upcoming year. And industry watchers have begun to make their technology predictions for 2024. Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation.

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The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI

Dynatrace

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. It highlights the potential of GPT technology to drive “information democracy” even further.

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Tech Transforms podcast: How one federal agency is embracing AI to support and empower its cyber workforce

Dynatrace

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. It’s great to put new technology on the table,” said Johnson. Can embracing AI really make life easier?

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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

To do so, we continuously push the boundaries of streaming video quality and leverage the best video technologies. While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. How do we apply neural networks at scale efficiently?

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. The most relevant data is submitted to the LLM along with the prompt.

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But only 21% said their organizations have established policies governing employees’ use of generative AI technologies.