Testsigma

MAY 15, 2021

Hence, we add another dish to our menu which could speed up the process of automation: scriptless automation and scriptless testing tools. And therefore, even business partners and stakeholders can contribute to the test automation process. It also helps in identifying the UI identifiers with a dynamic locator strategy.

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

All Things Distributed

APRIL 3, 2015

At Amazon machine learning has been key to many of our business processes, from recommendations to fraud detection, from inventory levels to book classification to abusive review detection. It roots are in the late 50''s early 60''s, although of course one can even claim that Turing was the first to discuss the topic. Kotsiantis, I.

Artificial Intelligence 146

Artificial Intelligence Games Programming Analytics 146

O'Reilly

FEBRUARY 15, 2022

Comprehension is a poorly-defined term, like many terms that frequently show up in discussions of artificial intelligence: intelligence, consciousness, personhood. A response doesn’t have to indicate assent, agreement, or compliance; all it has to do is show that the utterance was processed meaningfully. Dilsey endured.

Artificial Intelligence 117

Artificial Intelligence Testing Engineering Programming 117

All Things Distributed

SEPTEMBER 4, 2017

In the case of artificial intelligence (AI) and machine learning (ML), this is different. And thirdly, an "algorithmic revolution" has taken place, meaning it is now possible to train trillions of algorithms simultaneously, making the whole machine learning process much faster. That is understandable.

Artificial Intelligence 149

Artificial Intelligence Transportation Education Airlines 149

DZone

NOVEMBER 2, 2020

Of course, those vendors really meant test execution automation. They’ve discovered that automating one process within testing leaves many others untouched while introducing many challenges of its own. Remember when test automation was being peddled as a silver bullet for testing bugbears? Well, those days are long gone.

Testing 133

Testing Processing Artificial Intelligence DevOps 133

The Agile Manager

FEBRUARY 29, 2020

Nokia and Blackberry were not. * * * Earlier this week, Wolfgang Münchau posited that the European Union is at a cultural disadvantage to the United States and China in the field of Artificial Intelligence. The dominant sentiment in modern-day Europe is anxiety. Its defining need is protection. From everybody.

Artificial Intelligence 52

Artificial Intelligence Social Media Automotive Mobile 52

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. The second challenge with traditional AIOps centers around the data processing cycle. Dynatrace news.

Artificial Intelligence 215

Artificial Intelligence DevOps Innovation Metrics 215

O'Reilly

SEPTEMBER 12, 2023

One advantage of computers, of course, is that they don’t care about complexity. That code may take the form of dozens of microservices running as asynchronous processes and communicating over a network. But that advantage is also a significant disadvantage. What is the overall structure, the overall architecture, of these programs?

Software 122

Software Software Development Programming 122

O'Reilly

JANUARY 16, 2024

Whenever I paused for too long, ChatGPT would interpret what I said so far as my request and start processing it. There’s a click sound when it starts processing my request, but then I may need to wait a few seconds in silence before hearing a response … maybe it’s only one second or maybe it’s five seconds.

Entertainment 73

Entertainment Internet Internet Design 73

Dynatrace

OCTOBER 4, 2022

The aforementioned principles have, of course, a major impact on the overall architecture. Further, it builds a rich analytics layer powered by Dynatrace causational artificial intelligence, Davis® AI, and creates a query engine that offers insights at unmatched speed. Ingest and process with Grail. Retain data.

Artificial Intelligence 271

Artificial Intelligence Analytics Storage Architecture 271

O'Reilly

OCTOBER 10, 2023

The article describes seven roles that an AI bot like ChatGPT might play in the education process: Mentor, Tutor, Coach, Student, Teammate, Student, Simulator, and Tool. Of course, if my Python really was that good, maybe I only needed a few cursory comments about programming style–but my program wasn’t that good.

Programming 73

Programming Education Code Testing 73

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. CloudOps includes processes such as incident management and event management. The four stages of data processing. Aggregate it for alerts.

DevOps 198

DevOps Artificial Intelligence Healthcare Innovation 198

O'Reilly

JUNE 27, 2023

When a person clicked “submit,” the website would pass that form data through some backend code to process it—thereby sending an e-mail, creating an order, or storing a record in a database. So what’s so scary about putting up a text box so people can engage with your chatbot? That code was too trusting, though.

Social Media 89

Social Media Media Website Database 89

Scalegrid

FEBRUARY 8, 2024

This process effectively duplicates essential parts of information to safeguard against potential loss. It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring.

Artificial Intelligence 184

Artificial Intelligence Social Media Monitoring IoT 184

Dynatrace

JUNE 4, 2021

Buzz words are ever omnipresent within technology and, of course, the APM space is no different. Alois Reitbauer, VP Chief Technology Strategist at Dynatrace drew many comparisons between the process of crafting whisky and building out an effective observability model – quite the feat indeed! Dynatrace news.

Artificial Intelligence 142

Artificial Intelligence Metrics Monitoring Innovation 142

Dynatrace

MAY 4, 2021

Of course, it’s one thing to recognize business IT blind spots; it’s another to effectively address these issues at scale. In contrast, by automatically processing billions of causal dependencies in near real-time, Davis is capable of identifying the true root cause of a breakdown. AIOps can help. Root-cause analysis.

Infrastructure 183

Infrastructure Monitoring Artificial Intelligence Cloud 183

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

O'Reilly

NOVEMBER 28, 2023

Users and Nonusers AI adoption is in the process of becoming widespread, but it’s still not universal. Until AI reaches 100%, it’s still in the process of adoption. Automating the process of building complex prompts has become common, with patterns like retrieval-augmented generation (RAG) and tools like LangChain.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Testsigma

JULY 13, 2021

Instead, it relies on natural language processing , drag-and-drop UI elements , artificial intelligence, self-healing capabilities etc. Choosing a tool is not a textbook process. I hope that by the end of this post, you will have certain parameters in your hand through which it would become a simplified process.

Testing 52

Testing Artificial Intelligence Programming Code 52

O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. But ML/AI-related topics such as natural language processing (NLP, +22% in 2019) and neural networks (+17%) recorded strong growth in usage, too.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

O'Reilly

MARCH 23, 2023

While most of the foundation models people are talking about are LLMs, foundation models aren’t limited to language: a generative art model like Stable Diffusion incorporates the ability to process language, but the ability to generate images belongs to an entirely different branch of AI. Why are we starting by naming all the names?

Google 104

Google Open Source Programming Code 104

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Mobile apps, websites, and business applications are typical use cases for monitoring.

Monitoring 149

Monitoring Mobile Social Media Artificial Intelligence 149

All Things Distributed

MAY 21, 2018

Even the activities of doctors, lawyers or taxi drivers have hardly changed in the last decade, at least in terms of their underlying processes. Only parts of the processes are being performed by machines, or at least supported by them. These new offerings are organized on platforms or networks, and less so in processes.

Artificial Intelligence 77

Artificial Intelligence Technology Technology IoT 77

O'Reilly

MARCH 2, 2020

(Scrum might have been…) Agile is about getting developers in touch with the people who are the actual users and customers, regularly and repeatedly, so that the project doesn’t inevitably wander off course and produce something (in the words of Douglas Adams) “almost, but not quite, entirely unlike tea.”

Artificial Intelligence 21

Artificial Intelligence Software Architecture Programming Infrastructure 21

O'Reilly

OCTOBER 18, 2022

In particular, NIST’s SP1270 Towards a Standard for Identifying and Managing Bias in Artificial Intelligence , a resource associated with the draft AI RMF, is extremely useful in bias audits of newer and complex AI systems. Of course, there are other emerging auditor standards, certifications , and principles.

Artificial Intelligence 116

Artificial Intelligence Government Healthcare Metrics 116