Dynatrace

JANUARY 4, 2024

It can be difficult to understand the basis of AI systems’ decisions, particularly when they are trained on large and complex data sets. AI systems, and their data, can be biased, either intentionally or unintentionally, reflecting the biases of their creators or the data on which they are trained. AI system bias. Trusted data.

Artificial Intelligence 235

Artificial Intelligence Strategy Traffic Virtualization 235

The Morning Paper

AUGUST 25, 2019

Snuba: automating weak supervision to label training data Varma & Ré, VLDB 2019. It’s tackling the same fundamental problem: how to gather enough labeled data to train a model, and how to effectively use it in a weak supervision setting (supervised learning with noisy labels). It took me quite a while to get my head around this!

Logistics 76

Logistics Efficiency Design Processing 76

DZone

AUGUST 30, 2023

This article provides an in-depth exploration of advanced hyperparameter tuning methods, including Population-Based Training (PBT), BOHB, ASHA, TPE, Optuna, DEHB, Meta-Gradient Descent, BOSS, and SNIPER. Hyperparameters, on the other hand, are external settings that govern the learning process itself.

Tuning 141

Tuning Government Network Processing 141

Dynatrace

JANUARY 31, 2024

Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. The LLM then synthesizes the retrieved data with the augmented prompt and its internal training data to create a response that can be sent back to the user. million AI server units annually by 2027, consuming 75.4+

Cache 205

Cache Azure Infrastructure Database 205

Dynatrace

JANUARY 4, 2024

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. Because IT systems change often, AI models trained only on historical data struggle to diagnose novel events. That’s where causal AI can help.

Government 200

Government Analytics Benchmarking Storage 200

Official Blog - World Web Technology

DECEMBER 4, 2023

How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC is an essential framework for the total software development process as it aids in managing software development projects effectively.

Processing 64

Processing Software Software Development 64

DZone

JANUARY 29, 2024

AI models often mirror the data on which they are trained. To overcome this issue, continuous monitoring and validation emerge as critical processes which are essential for ensuring that AI models function ethically and impartially over time. It can unintentionally include existing societal biases, leading to unfair outcomes.

Artificial Intelligence 161

Artificial Intelligence Monitoring Processing 161

Dynatrace

MARCH 13, 2024

NIS2 risk management process and accountability requirements NIS2 aims to enhance the security posture of organizations to tackle evolving cyber threats, potentially bringing about significant changes in operational approaches. Revise security process gaps, policies, and procedures.

Best Practices 228

Best Practices Education Analytics Strategy 228

Tasktop

FEBRUARY 20, 2020

Meet Jason Grodan, a Software Training Specialist at Tasktop! We spoke to Jason about the different training classes Tasktop offers, bouldering, and what it’s like to work from home. My role at Tasktop is a ‘Software Training Specialist’. We provide training for Customers and Partners as well as new employees.

Software 52

Software Software Software Engineering Infrastructure 52

DZone

MARCH 24, 2023

Things like accountability for AI performance, timely alerts for relevant stakeholders, and the establishment of necessary processes to resolve issues are often disregarded for discussions about specific tools and tech stacks. As a consequence, there is a lack of clarity regarding who is responsible for the models' outcomes and performance.

Best Practices 195

Best Practices Monitoring Government Technology 195

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

Dynatrace

OCTOBER 31, 2023

But, in the process, they cannot risk alienating current employees who may view these technologies as a threat to their positions. Assign people to the right roles and give them the training they need Attacks are only growing more complex to identify and process. Because AI might not be the solution,” he said. “I

Artificial Intelligence 185

Artificial Intelligence Energy Government Technology 185

Dotcom-Montior

NOVEMBER 27, 2018

This is the first online performance engineering training for developers, architects, QA, and test engineers. This training fits perfectly into the shift left philosophy and attendees will learn how to avoid many performance pitfalls. The screenshot below highlights how Performetriks guides your team through this training.

Development 40

Development Performance Education Best Practices 40

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. 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. Which cloud provider would you recommend?

Cloud 201

Cloud Serverless Internet Internet 201

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

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. How do we make sense of this?

Artificial Intelligence 100

Artificial Intelligence Google Media Processing 100

O'Reilly

NOVEMBER 21, 2019

This is precisely the kind of problem that robotic process automation (RPA) aims to address. She’s the vestigial human link in a process—insurance claims processing—that has a mostly automated workflow. Prior to RPA, enterprises used several different techniques to automate workflows and back-office processes.

Processing 82

Processing Programming Virtualization Technology 82

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. The vision is that data scientists use their favourite ML framework to construct a model, which together with any data pre-processing steps and library dependencies forms a model pipeline. " Query execution.

Processing 72

Processing Hardware Database Azure 72

Dynatrace

OCTOBER 17, 2022

CloudOps includes processes such as incident management and event management. AIOps reduces the time needed to resolve an incident by automating key steps in the incident response process. The four stages of data processing. There are four stages of data processing: Collect raw data. Aggregate it for alerts.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Dynatrace

FEBRUARY 1, 2024

For example, a CNBC report found that training just one LLM can cost millions of dollars, and then millions more to update. With its topology mapping and dependency tracking, Dynatrace provides tools that help analysts determine which processes use what resources to troubleshoot and optimize at the process level.

Cloud 211

Cloud Energy Innovation Infrastructure 211

Dynatrace

JULY 25, 2023

Causal AI processes observability, security, and business data in the context of causal dependencies from Dynatrace Smartscape topology to precisely determine the needle in the haystack in continuously and dynamically updated software services. When a user asks a question, generative AIs create an answer word by word.

Best Practices 234

Best Practices Analytics Metrics Technology 234

The Netflix TechBlog

NOVEMBER 17, 2022

A distinct, NN-based, video processing block can evolve independently, be used beyond video downscaling and be combined with different codecs. During training, our goal is to generate the best downsampled representation such that, after upscaling, the mean squared error is minimized.

Network 292

Network Media Innovation Efficiency 292

O'Reilly

OCTOBER 24, 2023

Ever since the current craze for AI-generated everything took hold, I’ve wondered: what will happen when the world is so full of AI-generated stuff (text, software, pictures, music) that our training sets for AI are dominated by content created by AI. At some point in the near future, new models will be trained on code that they have written.

Programming 89

Programming Code Processing Artificial Intelligence 89

Percona

JANUARY 3, 2024

ProxySQL is a high-performance SQL proxy that runs as a daemon watched by a monitoring process. The process monitors the daemon and restarts it in case of a crash to minimize downtime. The daemon accepts incoming traffic from MySQL clients and forwards it to backend MySQL servers.

Traffic 113

Traffic Hardware Cache Servers 113

Dynatrace

JUNE 14, 2023

While last year was deemed “The Year of Innovation” for launching Grail , our causal data lakehouse with massively parallel processing (MPP), along with AppEngine , AutomationEngine , Notebooks , and more, 2023 is about extending these innovations to more customers through our partners.

Programming 181

Programming Best Practices Analytics Innovation 181

Dynatrace

MARCH 29, 2024

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. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

Artificial Intelligence 183

Artificial Intelligence DevOps Strategy Open Source 183

Dynatrace

SEPTEMBER 3, 2020

Such a solution needs to collect a substantial amount of data at first for then having a dataset (training data) that an algorithm can use to learn from. The second major concern I want to discuss is around the data processing chain. The four stages of data processing. Four stages of data processing with a costly tool switch.

Software 264

Software Software Artificial Intelligence Metrics 264

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” They require extensive training, and real-user must spend valuable time filtering any false positives. But what is AIOps, exactly?

Artificial Intelligence 213

Artificial Intelligence DevOps Innovation Metrics 213

Dynatrace

FEBRUARY 23, 2022

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.

Serverless 265

Serverless Infrastructure Innovation DevOps 265

Dynatrace

DECEMBER 5, 2023

The SEC cybersecurity mandate states that starting December 15 th , all public organizations are required to annually describe their processes for assessing, identifying, and managing material risks from any cybersecurity threats on a Form 10-K. Additionally, ensure they are aware of each of their roles and responsibility during the process.

Best Practices 252

Best Practices Government C++ Education 252

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. Machine learning.

AWS 210

AWS Best Practices Cloud Analytics 210

The Netflix TechBlog

NOVEMBER 11, 2022

In semi-supervised anomaly detection models, only a set of benign examples are required for training. Data Data Labeling For the task of anomaly detection in streaming platforms, as we have neither an already trained model nor any labeled data samples, we use structural a priori domain-specific rule-based assumptions, for data labeling.

C++ 312

C++ Metrics Tuning Strategy 312

Dynatrace

OCTOBER 14, 2022

By processing vast amounts of relevant data across domains and tiers and automatically finding relationships between systems and processes, AI becomes very good at answering even highly complex questions. Supervised learning uses already-labeled data to train algorithms for specific outputs. What is machine learning?

Artificial Intelligence 175

Artificial Intelligence DevOps Analytics Cloud 175

Dynatrace

SEPTEMBER 27, 2023

For example, you may benefit from enriching digital experience monitoring data with insights from web analytics or tracking every step in a business process regardless of the data source – to understand the end-to-end customer experience. Train employees how to interpret and use customer analytics effectively.

Best Practices 228

Best Practices Analytics Strategy Monitoring 228

Dynatrace

AUGUST 27, 2020

Amazon SageMaker is a fully managed service that provides developers and data scientists with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the ML process to make it easier to develop high quality models.

AWS 270

AWS Cloud IoT Metrics 270

Dynatrace

JUNE 1, 2023

While gyms and fitness studios have since reopened, these apps are still extremely popular for squeezing in short home workouts, tracking fitness goals, and receiving personalized training recommendations. Response time Response time refers to the total time it takes for a system to process a request or complete an operation.

Latency 177

Latency Traffic Website Virtualization 177

Dynatrace

DECEMBER 30, 2021

With real-time causal AI, organizations can identify the root cause of issues without having to train their data models up front. That’s critical to circumvent the time-consuming process of training algorithms to understand system behavior. Traditional machine learning approaches involve time-consuming training of algorithms.

Strategy 223

Strategy Energy Cloud Innovation 223