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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. Healthcare. For example, causal AI can help public health officials better understand the effects of environmental factors, healthcare policies, and social factors on health outcomes.

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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 230
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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 197
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. Artificial intelligence (AI), while similar to machine learning, refers to the broader idea where machines can execute tasks smartly. Greenplum Advantages.

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

In a winner-take-all economy where a company’s highest-paid employees can earn over 1000 times as much as the lowest paid, the absence of a commitment to employees leads to poor housing, poor school systems, poor infrastructure, and marginalized local businesses. Employers are also responsible for healthcare, at least in the US.