Dynatrace

SEPTEMBER 5, 2023

They need solutions such as cloud observability — the ability to measure a system’s current state based on the data it generates—to help them tame cloud complexity and better manage their applications, infrastructure, and data within their IT landscapes. The combination is synergistic.

Cloud 233

Cloud Artificial Intelligence Innovation Azure 233

Dynatrace

JANUARY 22, 2024

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. More generally, causal AI can contribute to explainable and fair AI systems.

Artificial Intelligence 220

Artificial Intelligence Healthcare Retail Government 220

Dynatrace

MAY 2, 2024

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. blog Generative AI is an artificial intelligence model that can generate new content—text, images, audio, code—based on existing data. What is generative AI? Learn more about the state of AI in 2024.

Artificial Intelligence 242

Artificial Intelligence Cloud Best Practices DevOps 242

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.

Artificial Intelligence 206

Artificial Intelligence IoT Programming Innovation 206

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.

Software 264

Software Software Artificial Intelligence Metrics 264

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Technology prediction No. Technology prediction No.

Technology 216

Technology Technology Artificial Intelligence Analytics 216

Dynatrace

APRIL 22, 2024

Many organizations are turning to generative artificial intelligence and automation to free developers from manual, mundane tasks to focus on more business-critical initiatives and innovation projects. These help teams with data augmentation, anomaly detection, simulation, and documentation, among other areas.

Software 179

Software Software Artificial Intelligence Development 179

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 273

Innovation Software Software Artificial Intelligence 273

Dynatrace

NOVEMBER 22, 2021

Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. These modern, cloud-native environments require an AI-driven approach to observability. Dynatrace is making the value of AI real. AWS made better through AIOps.

AWS 237

AWS Lambda Artificial Intelligence Serverless 237

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. We concluded by suggesting that the fuzziness of machine learning systems presents a fundamental problem for autonomous IT operations.

Cloud 159

Cloud Artificial Intelligence Virtualization Efficiency 159

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 209

DevOps Artificial Intelligence Healthcare Innovation 209

O'Reilly

JUNE 7, 2022

Not so many years ago, one problem with AI was that AI systems were only good at one thing. After IBM’s Deep Blue defeated Garry Kasparov in chess, it was easy to say “But the ability to play chess isn’t really what we mean by intelligence.” We don’t know how much power it took to train Gato, but GPT-3 required about 1.3

Artificial Intelligence 145

Artificial Intelligence Games Energy Open Source 145

Dynatrace

JULY 6, 2022

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. While automating IT processes without integrated AIOps can create challenges, the approach to artificial intelligence itself can also introduce potential issues.

Artificial Intelligence 202

Artificial Intelligence Tuning Strategy Big Data 202

Dynatrace

FEBRUARY 10, 2022

But as they turn to cloud environments to develop new products and manage IT infrastructure, they have introduced a host of complex systems that need to be managed and secured. Consider a true self-driving car as an example of how this software intelligence works.

Artificial Intelligence 195

Artificial Intelligence Performance Innovation Speed 195

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 212

Government Analytics Benchmarking Storage 212

All Things Distributed

DECEMBER 13, 2016

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. Fraud.net uses AWS to build and train machine learning models in detecting online payment fraud.

AWS 157

AWS Cloud Artificial Intelligence IoT 157

All Things Distributed

JUNE 30, 2017

Once connected, the systems that power call centers generally don't do a good job of using and sharing available information. When we set out to build Amazon Connect, we thought deeply about how artificial intelligence could be applied to improve the customer experience. For instance, Zillow trains and retrains 7.5

Artificial Intelligence 116

Artificial Intelligence Lambda AWS Virtualization 116

O'Reilly

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. This is the basis of The New York Times lawsuit against OpenAI. They are dream machines.

Artificial Intelligence 111

Artificial Intelligence Social Media Google Internet 111

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 148

AWS Cloud Artificial Intelligence Innovation 148

O'Reilly

JUNE 18, 2024

Last month, TheNew York Times claimed that tech giants OpenAI and Google have waded into a copyright gray area by transcribing the vast volume of YouTube videos and using that text as additional training data for their AI models despite terms of service that prohibit such efforts and copyright law that the Times argues places them in dispute.

Social Media 141

Social Media Media Open Source Traffic 141

O'Reilly

JANUARY 6, 2020

The programming world will increasingly be split between highly trained professionals and people who don’t have a deep background but have a lot of experience building things. Like reading, some people learn how to code with little training, and others don’t. We need to rethink the role of the programmer. Mike Loukides.

Programming 98

Programming Artificial Intelligence Education Games 98

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 116

Artificial Intelligence Transportation Education Airlines 116

O'Reilly

JUNE 15, 2023

In response, the Association for the Advancement of Artificial Intelligence published its own letter citing the many positive differences that AI is already making in our lives and noting existing efforts to improve AI safety and to understand its impacts. They write: “AI systems are becoming a part of everyday life.

Artificial Intelligence 115

Artificial Intelligence Best Practices Metrics Systems 115

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

O'Reilly

DECEMBER 12, 2023

Another group of cases involving text (typically novels and novelists) argue that using copyrighted texts as part of the training data for a Large Language Model (LLM) is itself copyright infringement, 1 even if the model never reproduces those texts as part of its output. What should copyright law mean in the age of artificial intelligence?

Artificial Intelligence 103

Artificial Intelligence Media Google Processing 103

O'Reilly

NOVEMBER 26, 2024

They don’t respond to changes quickly, and that leaves them particularly vulnerable when providing training for industries where change is rapid. Staying current in the tech industry is a bit like being a professional athlete: You have to train daily to maintain your physical conditioning.

Education 80

Education Azure AWS Java 80

All Things Distributed

DECEMBER 18, 2017

These teams are helping customers and partners of all sizes, including systems integrators and ISVs, to move to the cloud. We have also been investing in helping to grow the entire French IT community with training, education, and certification programs.

AWS 87

AWS Artificial Intelligence Education Energy 87

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. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments. Additionally.

Cloud 130

Cloud Virtualization Storage Efficiency 130

O'Reilly

APRIL 5, 2023

The notion that artificial intelligence will help us prepare for the world of tomorrow is woven into our collective fantasies. That’s because AI algorithms are trained on data. And it’s safe to say that most AI algorithms are trained on datasets that are significantly older. Your coat was red or blue.

Artificial Intelligence 111

Artificial Intelligence Energy Government Virtualization 111

Scalegrid

JANUARY 11, 2024

There is a wide selection of advanced solutions available for cloud monitoring, including various choices for ensuring top-notch security in your organization’s systems. In upcoming developments, we can anticipate a greater reliance on artificial intelligence (AI) and machine learning for effective cloud security monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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 107

Google Open Source Programming Code 107

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 Infrastructure 148

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 111

Open Source Google Artificial Intelligence Infrastructure 111

O'Reilly

JUNE 11, 2024

At O’Reilly, we’re not just building training materials about AI. It would have been very difficult to develop the expertise to build and train a model, and much more effective to work with a company that already has that expertise. With a model like GPT, adding content would require a lengthy and expensive training process.

Design 106

Design Open Source Database Programming 106

O'Reilly

NOVEMBER 19, 2024

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., at Facebook—both from 2020.

Open Source 102

Open Source Entertainment Healthcare Database 102

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 90

Social Media Artificial Intelligence Innovation Logistics 90

O'Reilly

JUNE 15, 2023

We need research on how best to train AI models to satisfy multiple, sometimes conflicting goals rather than optimizing for a single goal. An AI model such as GPT4 has been trained on a vast corpus of human speech, a record of humanity’s thoughts and feelings. Might we call them “Generally Accepted AI Management Principles”?

Government 100

Government Best Practices Energy Internet 100