Scalegrid

MAY 13, 2020

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

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JULY 6, 2022

Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. AI that is based on machine learning needs to be trained.

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. Achieving this precision requires another type of artificial intelligence: causal AI.

Innovation 252

Innovation Software Software Artificial Intelligence 252

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.

Government 193

Government Analytics Benchmarking Storage 193

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. Let’s assume the operating system hosting the search service is also running another process independently that consumes significant CPU.

DevOps 189

DevOps Artificial Intelligence Healthcare Innovation 189

Dynatrace

JANUARY 16, 2020

In part one, we began our discussion about intellectual debt by pointing out how machine learning systems contribute to the widening gap between what works and our understanding of why it works. Part two added a few simple examples of how intellectual debt might accrue, highlighting the subtle but real drag on efficiency.

Cloud 155

Cloud Artificial Intelligence Virtualization Efficiency 155

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. Digital transformation with AWS: Making it real with AIOps. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring. Nevertheless, this integration can present certain challenges to organizations.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

SEPTEMBER 3, 2020

AIOps is the terminology that indicates the use of, typically, machine learning (ML) based artificial intelligence to cut through the noise in IT operations, specifically incident handling and management. It works without identifying training data, then training and honing. Dynatrace news. Lost and rebuilt context.

Software 263

Software Software Artificial Intelligence Metrics 263

O'Reilly

APRIL 30, 2024

Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? But how much greater are the risks for the next generation of AI systems?

Social Media 88

Social Media Artificial Intelligence Innovation Logistics 88

Dynatrace

MARCH 10, 2021

This week Dynatrace achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This accurate and precise intelligence is now the type of data that can be trusted to trigger auto-remediation processes proactively. Dynatrace news.

AWS 142

AWS Cloud Artificial Intelligence Innovation 142

All Things Distributed

SEPTEMBER 4, 2017

In the case of artificial intelligence (AI) and machine learning (ML), this is different. Secondly, there is enough affordable computing capacity in the cloud for companies and organizations, no matter what their size, to use intelligent applications. Artificial intelligence helps to satisfy the customer.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

Percona

DECEMBER 14, 2023

Will 2023 be called the year of Generative Artificial Intelligence (AI)? refined the rollback mechanism, making it more efficient and reliable in handling downgrade procedures. from the MongoDB Download Center or use your system’s package manager to install the 6.0 Enhanced Rollback Mechanism: MongoDB 7.0

Database 86

Database Artificial Intelligence Servers Operating System 86

ACM Sigarch

APRIL 26, 2018

Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions. The new DGX-2, which achieves 2 petaFLOPS in the system, combines 16 fully interconnected GPUS with 10x the deep learning performance.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Dynatrace

JUNE 1, 2021

Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Even a conflict with the operating system or the specific device being used to access the app can degrade an application’s performance. APM’s many forms. Advanced cloud observability.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Official Blog - World Web Technology

NOVEMBER 22, 2023

Adobe Systems Adobe Systems is the industry standard for creative software solutions. More than a hundred highly trained employees work tirelessly to provide customers with cutting-edge technological solutions. It has pioneered the global marketplace since December 1982.

Software 59

Software Software Development Innovation 59

O'Reilly

NOVEMBER 28, 2023

Training models and developing complex applications on top of those models is becoming easier. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). report that the difficulty of training a model is a problem.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

O'Reilly

MARCH 23, 2023

It can pretend to be an operating system. which has received some specialized training. with specialized training. Sydney is based on GPT-4, 1 with additional training. Kosmos-1 Developed by Microsoft, and trained on image content in addition to text. And some of these things are mind blowing. It’s much more.

Google 104

Google Open Source Programming Code 104

O'Reilly

JUNE 15, 2023

Efficiency, not human flourishing, is maximized. We need research on how best to train AI models to satisfy multiple, sometimes conflicting goals rather than optimizing for a single goal. There is no perfectly efficient algorithm that gets everything right. The consequences, like those of Midas’s touch, aren’t pretty.

Government 98

Government Best Practices Energy Efficiency 98

All Things Distributed

DECEMBER 13, 2016

AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations. Extract valuable insights with machine learning: The world is witnessing the emergence of a broad and powerful range of new systems—computer programs that can teach themselves to grow and change when exposed to new data.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

O'Reilly

SEPTEMBER 19, 2023

A company then needed to train up their ops team to manage the cluster, and their analysts to express their ideas in MapReduce. The overall idea of generative AI is to get a model to create content that could have reasonably fit into its training data. What makes a complex system troublesome isn’t the sheer number of connections.

Hardware 99

Hardware Storage Big Data Blockchain 99

All Things Distributed

MAY 21, 2018

Which human activities can be taken over by machines or ML-based systems? And artificial intelligence makes it possible to break down tasks in such a way that everyone contributes what he or she can do best. How many of the jobs that we know today will even exist in the future? Which tasks will be left over for humans to do?

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76