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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. GPTs can also help quickly onboard team members to new development platforms and toolsets.

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Getting Hands-on Training into more hands in 2021

Dynatrace

And we know as well as anyone: the need for fast transformations drives amazing flexibility and innovation, which is why we took Perform Hands-on Training (HOT) virtual for 2021. Taking training sessions online this year lets us provide more instructor-led sessions over more days and times than ever before.

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Cloud cost optimization: Dynatrace helps organizations manage cloud cost

Dynatrace

Business innovation costs money. But organizations may not always have insight into how their moves toward innovation generate costs as well as revenue. For example, a CNBC report found that training just one LLM can cost millions of dollars, and then millions more to update. Generative AI and LLMs are compounding these figures.

Cloud 199
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. Tech Transforms podcast: It’s time to get familiar with generative AI – blog Generative AI can unlock boundless innovation. What is generative AI? Cloud application security is crucial to every organization.

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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. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. Increased adoption of Infrastructure as code (IaC). Dynatrace news.

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IT carbon footprint: Dynatrace Carbon Impact and Optimization app helps organizations measure cloud computing carbon footprint

Dynatrace

The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Research from 2020 suggests that training a single LLM generates around 300,000 kg of carbon dioxide emissions—equal to 125 round-trip flights from New York to London.

Energy 222
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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. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements.

Strategy 212