Dynatrace

APRIL 22, 2024

Predictive AI uses data collection, algorithm assignment, and model training for user behavior prediction, demand forecasting, fraud detection, and quality control, among other areas. These help teams with data augmentation, anomaly detection, simulation, and documentation, among other areas.

Software 172

Software Software Artificial Intelligence Development 172

Dynatrace

MAY 30, 2023

Training & Certification Award DXC has stood out this year, with 50 individuals becoming Dynatrace Certified across Associate and Professional levels, and this award is a testament to that continued investment in training and enablement with Dynatrace.

Innovation 220

Innovation Cloud AWS DevOps 220

The Morning Paper

SEPTEMBER 14, 2020

Aligning superhuman AI with human behavior: chess as a model system , McIlroy-Young et al., As well as outright behaviour and performance once fully trained, a related interesting question is whether or not the AI model improves with training in the same way that humans do on the same task as their skill levels increase.

Systems 85

Systems Games Engineering Open Source 85

The Morning Paper

FEBRUARY 16, 2020

Migrating a privacy-safe information extraction system to a software 2.0 This is a comparatively short (7 pages) but very interesting paper detailing the migration of a software system to a ‘Software 2.0’ we spend the majority of our effort on writing code, expressing how the system achieves its goals.

Systems 84

Systems Design Software Software 84

All Things Distributed

MARCH 12, 2018

At Amazon, we are heavily invested in machine learning (ML), and are developing new tools to help developers quickly and easily build, train, and deploy ML models. The interfaces to our digital system have been dictated by the capabilities of our computer systems—keyboards, mice, graphical interfaces, remotes, and touch screens.

Systems 110

Systems AWS Games Transportation 110

DZone

SEPTEMBER 11, 2023

False positives are instances where the system incorrectly identifies a regular event as an anomaly, leading to unnecessary investigative efforts and operational delays. Overview of the System Architecture Data Stream This is the continuous flow of data that the engine reviews.

Engineering 161

Engineering Healthcare Architecture Monitoring 161

O'Reilly

OCTOBER 30, 2023

These include: What data sources the model is trained on. The recent discovery (documented by an exposé in The Atlantic ) that OpenAI, Meta, and others used databases of pirated books, for example, highlights the need for transparency in training data. Policy on use of user data for further training. Operational Metrics.

Energy 118

Energy Internet Internet Metrics 118

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 109

Artificial Intelligence Social Media Google Internet 109

The Morning Paper

JUNE 6, 2019

Towards federated learning at scale: system design Bonawitz et al., This is a high level paper describing Google’s production system for federated learning. Federated Learning (FL) is a distributed machine learning approach which enables training on a large corpus of decentralized data residing on devices like mobile phones.

Systems 71

Systems Design Google Servers 71

DZone

JULY 21, 2021

Systems Engineering is the discipline of integrating parts into a functioning whole. In the early 2000s, members of the International Council on Systems Engineering (INCOSE) and the Object Management Group (OMG) joined together to create a graphical modeling language that was tailored to the needs of systems engineers.

Engineering 246

Engineering Systems Design Software 246

The Netflix TechBlog

NOVEMBER 11, 2022

In semi-supervised anomaly detection models, only a set of benign examples are required for training. Streaming Platforms Commercial streaming platforms shown in Figure 1 mainly rely on Digital Rights Management (DRM) systems. a browser) is normally matched with a certain DRM system (e.g.,

C++ 312

C++ Metrics Tuning Strategy 312

Dynatrace

JANUARY 22, 2024

That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Understanding complex systems Causal AI holds great importance for achieving full-stack observability in complex systems. More generally, causal AI can contribute to explainable and fair AI systems.

Artificial Intelligence 215

Artificial Intelligence Healthcare Retail Government 215

Dynatrace

MARCH 29, 2024

Others involve introducing new threats as AI becomes more integrated into IT systems as a whole. Generative AI: A type of AI that uses an algorithm trained on large amounts of data collected from diverse sources to generate various types of content, including text, images, audio, and synthetic data.

Artificial Intelligence 190

Artificial Intelligence DevOps Strategy Open Source 190

Dynatrace

JUNE 8, 2021

In software we use the concept of Service Level Objectives (SLOs) to enable us to keep track of our system versus our goals, often shown in a dashboard – like below –, to help us to reach an objective or provide an excellent service for users. The training program to proactively improve your services. Are you ready to kick some bugs?

Metrics 172

Metrics Tuning Programming Systems 172

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 211

Technology Technology Artificial Intelligence Analytics 211

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. Is an artist’s style copyrightable, and if so, what does that mean?

Artificial Intelligence 100

Artificial Intelligence Media Google Processing 100

Dynatrace

FEBRUARY 26, 2024

During the Dynatrace annual user conference, Perform , the Partner Summit session returned, welcoming Global System Integrators (GSIs), Hyperscalers, and Cloud Solutions Partners to participate.

Artificial Intelligence 202

Artificial Intelligence IoT Programming Innovation 202

Brendan Gregg

JULY 15, 2019

BPF (eBPF) tracing is a superpower that can analyze everything, and I'll show you how in my upcoming book BPF Performance Tools: Linux System and Application Observability , coming soon from Addison Wesley. A time where you can pose arbitrary questions of the system, and it can answer them.

Systems 111

Systems Performance Education Technology 111

Dynatrace

DECEMBER 4, 2023

By using OpenLLMetry and Dynatrace, anyone can get complete visibility into their system, including gen-AI parts with 5 minutes of work.” Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy.

Open Source 264

Open Source Latency Metrics Java 264

Dynatrace

JUNE 14, 2023

This digital transformation journey requires AI-powered answers and intelligent automation that legacy systems can’t deliver. The Services Endorsement Program includes training and certification for partners that span unified observability and security, AIOps, and advanced DevSecOps and CloudOps.

Programming 188

Programming Analytics Innovation Best Practices 188

Dynatrace

OCTOBER 14, 2022

These systems are generating more data than ever, and teams simply can’t keep up with a manual approach. Artificial intelligence (AI) refers to a system’s ability to mimic human cognitive function. Machine learning applications may be developed standalone, but they’re often part of larger AI systems.

Artificial Intelligence 182

Artificial Intelligence DevOps Analytics Cloud 182

High Scalability

DECEMBER 16, 2022

Cloud computing has become a widely-used model of computing, as it offers a number of benefits over traditional, on-premises computing systems. I'm sorry, but as a large language model trained by OpenAI, I don't have the ability to browse the internet or keep up-to-date with current events. Can you expand? Are you hosted on the cloud?

Cloud 201

Cloud Serverless Internet Internet 201

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. In addition to the lack of staff knowledge about AI, our research identified a need for training as an obstacle for 32% of participants. Dynatrace news.

Artificial Intelligence 219

Artificial Intelligence Government Strategy Website 219

Dynatrace

JULY 24, 2023

Unlike correlation-based machine learning, which calculates probabilities based on statistics, causal AI uses fault-tree analysis to determine system-level failures based on component-level failures. Such an outcome could be a CPU spike that progresses into a system failure. ” The post What is causal AI?

Artificial Intelligence 223

Artificial Intelligence Analytics Network Metrics 223

Dynatrace

MAY 24, 2021

Supporting more modern cloud technologies and eco-system extensions than any other observability solution enables frictionless deployment and insights into the vast array of technologies enterprise customers are adopting: Key announcements. Training & Certification Award: Accenture. Partner Pro Club. Dynatrace Go!

Programming 239

Programming Cloud Virtualization Technology 239

Tasktop

MAY 12, 2020

By October 2020, Daimler/Mercedes-Benz AG will replace its supplier defect and test management tool for its internal E/E system. If you are a supplier working with the automotive giant and connected to its existing defect management and ALM systems, you will need to migrate or change projects to the new system as soon as possible.

Automotive 52

Automotive Systems Education Programming 52

The Netflix TechBlog

MARCH 4, 2024

Given the extensive scope and intricate complexity inherent to such a distributed, large-scale system, even if the failed jobs account for a tiny portion of the total workload, diagnosing and remediating job failures can cause considerable operational burdens. The labels are: a) did retry fail, b) retry cost.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Percona

OCTOBER 20, 2023

Communication and training: Keep all stakeholders informed about the progress and changes throughout the migration process. Provide training to staff members, DBAs, and developers to ensure they are well-prepared for the transition. Identifying and mitigating risks : Conduct a thorough risk assessment to identify potential obstacles.

Open Source 87

Open Source Database Best Practices Strategy 87

Dynatrace

SEPTEMBER 30, 2021

By carving the right AWS certification path, developers can even use their certification and training to advance their careers long term. What is the value of AWS training and certification? You and your peers – if you team up – can benefit on multiple levels from AWS training and certification. Then this one’s for you.

AWS 217

AWS Best Practices Analytics Cloud 217

Dynatrace

DECEMBER 5, 2023

Do material incidents on “third-party systems” require disclosure? The mandate explains why this is the case: “A reasonable investor would [not] view a significant breach of a registrant’s data as immaterial merely because the data were housed on a third-party system ….

Best Practices 259

Best Practices Government C++ Education 259

Dynatrace

AUGUST 2, 2021

It comes down to getting the best value out of your systems as well as your people,” Hicks says. Starting small is important for building a strong foundation, and an expert team will provide the necessary platform for training motivated staff to execute each mission with pride and precision.

Government 246

Government Strategy Cloud Efficiency 246

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. What about creativity?

Social Media 85

Social Media Innovation Media Tuning 85

The Netflix TechBlog

MAY 21, 2019

We thought that reinforcement learning would be a promising approach that could provide great flexibility in the training process. Likewise it has very low requirements on the initial amount of training data. Lerner uses AWS services to store binary versions of the agents, agent configurations, and training data.

Testing 163

Testing AWS Lambda Network 163

O'Reilly

MAY 9, 2023

It’s hard to ignore the discussion around the Open Letter arguing for a pause in the development of advanced AI systems. It means monitoring systems after they are deployed, updating and tuning them as needed because any model will eventually grow “stale” and start performing badly. Are they dangerous? Will they destroy humanity?

Infrastructure 85

Infrastructure Government Design Tuning 85

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 89

Social Media Media Website Database 89

O'Reilly

OCTOBER 12, 2021

Kevlin Henney and I were riffing on some ideas about GitHub Copilot , the tool for automatically generating code base on GPT-3’s language model, trained on the body of code that’s in GitHub. Given enough unit tests and acceptance tests, we can imagine a system for automatically generating code that is correct.

Code 120

Code Programming C++ Testing 120

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 158

Cloud Artificial Intelligence Virtualization Efficiency 158