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AIOps observability adoption ascends in healthcare

Dynatrace

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

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Causal AI use cases for modern observability that can transform any business

Dynatrace

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Healthcare. Further, not every business uses AI in the same way or for the same reasons.

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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code.

AWS 228
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What is digital transformation? How to transform your business strategy

Dynatrace

The COVID-19 pandemic accelerated the speed at which organizations digitally transform — especially in industries such as eCommerce and healthcare — as expectations for a great customer experience dramatically increased. As a result, digital transformation requires modernization and change management so employees can embrace digitization.

Strategy 194
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

The MPP system leverages a shared-nothing architecture to handle multiple operations in parallel. Typically an MPP system has one leader node and one or many compute nodes. This allows Greenplum to distribute the load between their different segments and use all of the system’s resources parallely to process a query.

Big Data 321
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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. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) of nonusers, 5.4%

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Corporate Responsibility in the Age of AI

O'Reilly

The problem that AI introduces is the scale at which automated systems can cause harm. That’s certainly true for technical employees who will be developing applications that use AI systems through an API. One aspect of this change will be verifying that the output of an AI system is correct.