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 195

Artificial Intelligence IoT Programming Innovation 195

Dynatrace

JULY 20, 2022

Artificial intelligence (AI) has been a hot topic among federal agencies as government IT leaders look to modernize their systems to help solve complex challenges. I was eager to take part in a recent Digital Government Institute workshop, “ Demystifying Artificial Intelligence.” Dynatrace news.

Artificial Intelligence 213

Artificial Intelligence Government Strategy Website 213

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 205

Technology Technology Artificial Intelligence Analytics 205

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.

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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 110

Artificial Intelligence Social Media Google Internet 110

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 262

Innovation Software Software Artificial Intelligence 262

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 202

Government Analytics Benchmarking Storage 202

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 156

Cloud Artificial Intelligence Virtualization Efficiency 156

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 101

Artificial Intelligence Media Google Processing 101

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 85

Social Media Artificial Intelligence Innovation Logistics 85

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 230

AWS Lambda Artificial Intelligence Serverless 230

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 191

Artificial Intelligence Tuning Strategy Big Data 191

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 187

Artificial Intelligence Performance Innovation Speed 187

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

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 114

Artificial Intelligence Best Practices Metrics Systems 114

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

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

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 144

AWS Cloud Artificial Intelligence Innovation 144

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 130

Artificial Intelligence Lambda AWS Virtualization 130

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance.

Strategy 224

Strategy Artificial Intelligence Storage Cloud 224

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 115

AWS Artificial Intelligence Education Energy 115

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 149

Artificial Intelligence Transportation Education Airlines 149

O'Reilly

NOVEMBER 14, 2023

Can an AI system be creative and, if so, what would that creativity look like? I’m skeptical about AI creativity, though recently I hypothesized that an AI system optimized for “hallucinations” might be the start of “artificial creativity.” We don’t know; a number of cases are in the legal system now. Or just derivative?

Social Media 86

Social Media Innovation Media Tuning 86

O'Reilly

JUNE 27, 2023

That model creates the response images or text by interpreting the prompt and then replaying (a probabilistic variation of) the patterns it uncovered in its training data. Which means your chatbot is effectively a naive person who has access to all of the information from the training dataset. A rather juicy target, really.

Social Media 90

Social Media Media Website Database 90

Testsigma

DECEMBER 20, 2019

Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. Artificial Intelligence (AI): A brief introduction. Artificial Intelligence (AI) is an interdisciplinary branch of computer science, parts of which have been commercialized.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

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

OCTOBER 17, 2023

Designing and writing software systems that generate prompts automatically. Designing automated prompting systems is clearly important. In the long run, the will to learn something yourself will be much more important than a couple of hours training in effective prompting patterns. To say nothing of debugging and testing.)

Programming 101

Programming Education Engineering Design 101

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

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.

Artificial Intelligence 214

Artificial Intelligence DevOps Innovation Metrics 214

O'Reilly

DECEMBER 2, 2019

I don’t need more bandwidth for video conferences or movies, but I would like to be able to download operating system updates and other large items in seconds rather than minutes. Whether that’s training data for AI applications or just lots of transaction records, businesses move data, and lots of it.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

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 198

DevOps Artificial Intelligence Healthcare Innovation 198

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

O'Reilly

JANUARY 16, 2024

I’ve recently been brainstorming ideas for how to design such a system and how to deal with the practical challenges of scaling and maintenance. Speech recognition errors : ChatGPT’s speech recognition system (presumably based on OpenAI’s open-source Whisper model ) is very good, but it does at times misinterpret what I’m saying.

Entertainment 74

Entertainment Internet Internet Design 74

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

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 109

Open Source Artificial Intelligence Google Infrastructure 109

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 105

Google Open Source Programming Code 105

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