Analytics Architecture Artificial Intelligence Training 
Dynatrace
OCTOBER 14, 2022
As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data.
Scalegrid
MAY 13, 2020
In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. 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. The Greenplum Architecture.
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Dynatrace
FEBRUARY 26, 2024
Digital transformation – which is necessary for organizations to stay competitive – and the adoption of machine learning, artificial intelligence, IoT, and cloud is completely changing the way organizations work. In fact, it’s only getting faster and more complicated.
Dynatrace
JANUARY 22, 2024
Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Data lakehouses play a pivotal role in facilitating causal AI by providing a versatile data management infrastructure for vast amounts of diverse data —a requirement for AI training models.
Dynatrace
JANUARY 4, 2024
Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. That’s where causal AI can help.
Dynatrace
NOVEMBER 22, 2021
Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.
Dynatrace
OCTOBER 14, 2021
Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. They require extensive training, and real-user must spend valuable time filtering any false positives.
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