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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. The LLM then synthesizes the retrieved data with the augmented prompt and its internal training data to create a response that can be sent back to the user. million AI server units annually by 2027, consuming 75.4+

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What is FinOps? How to keep cloud spend in check

Dynatrace

FinOps is a cloud financial management philosophy and practice that strives to control the cost of cloud adoption strategies without restricting the scope of cloud resources. Create optimization strategies with realistic goals for each team. The result is smarter, data-driven solutions designed to manage cloud spend. What is FinOps?

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Fueling the next wave of IT operations: Modernization with generative AI

Dynatrace

In this article, we explore recent survey data from Enterprise Strategy Group (ESG), sponsored by Dynatrace, on how organizations approach IT automation, as well as the benefits and challenges they encounter as they adopt it. Source: Enterprise Strategy Group, a division of TechTarget, Inc.

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Database Migration Plan: Avoiding Common Pitfalls in Open Source Migration

Percona

Heck, typing “database migration plan” into Google and reading this blog could constitute planning. Develop strategies to mitigate these risks and have contingency plans in place. Communication and training: Keep all stakeholders informed about the progress and changes throughout the migration process.

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AI Has an Uber Problem

O'Reilly

As Bill Janeway noted in his critique of the capital-fueled bubbles that resulted from the ultra-low interest rates of the decade following the 2007–2009 financial crisis, “ capital is not a strategy.” Google raised only $36 million in venture capital on its way to dominance. Venture capitalists don’t have a crystal ball.

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Risk Management for AI Chatbots

O'Reilly

Does your company plan to release an AI chatbot, similar to OpenAI’s ChatGPT or Google’s Bard? That model creates the response images or text by interpreting the prompt and then replaying (a probabilistic variation of) the patterns it uncovered in its training data. That doesn’t sound so bad, right? What Can You Do?

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To understand the risks posed by AI, follow the money

O'Reilly

Degrading quality for higher profit It is instructive to consider how the algorithmic technologies that underpinned the aggregator platforms of old (think Amazon, Google and Facebook among others) initially deployed to benefit users, were eventually reprogrammed to increase profits for the platform. But it is far from alone.