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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. Combining causal AI and generative AI will eventually give rise to the next phase of GPT-powered innovation.

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

The Netflix TechBlog

While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. During training, our goal is to generate the best downsampled representation such that, after upscaling, the mean squared error is minimized.

Network 302
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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. You don’t really gain the efficiencies or the objectives that you need to be [gaining].”

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The top eight DevSecOps trends in 2022

Dynatrace

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. These DevSecOps trends will also aid teams as they integrate security and compliance into processes without slowing innovation or creating additional work for already time-strapped teams. Dynatrace news.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. The good news is AI-augmented applications can make organizations massively more productive and efficient.

Strategy 234
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AIOps strategy central to proactive multicloud management

Dynatrace

Using automatic and intelligent observability promotes faster innovation, greater efficiency, and better business outcomes. Causal AI is also more precise and efficient. With real-time causal AI, organizations can identify the root cause of issues without having to train their data models up front. Real- time AI.

Strategy 235
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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.