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3 Trends in Artificial Intelligence and Machine Learning for 2023

DZone

In 2022 the news about artificial intelligence (AI) and automatic learning (Machine Learning or ML) have skyrocketed and are expected to accelerate in 2023. The need for automation in the enterprise, coupled with advances in AI/ML hardware and software, is making the application of these technologies a reality.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Artificial intelligence (AI), while similar to machine learning, refers to the broader idea where machines can execute tasks smartly. What Exactly is Greenplum?

Big Data 321
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Why business digital transformation is still a key C-level priority today

Dynatrace

AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. For one Dynatrace customer, a hardware and software provider, introducing automation into DevOps processes was a game-changer.

C++ 246
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

blog Generative AI is an artificial intelligence model that can generate new content—text, images, audio, code—based on existing data. Generative AI in IT operations – report Read the study to discover how artificial intelligence (AI) can help IT Ops teams accelerate processes, enable digital transformation, and reduce costs.

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What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. Although modern cloud systems simplify tasks, such as deploying apps and provisioning new hardware and servers, hybrid cloud and multicloud environments are often complex.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights. With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical.

Analytics 246