Dynatrace

MARCH 22, 2023

While these vulnerabilities aren’t anything new, the modular and distributed nature of modern software development introduces a new potential for application security risks. Security misconfiguration Security misconfiguration covers the basic security checks every software development process should include.

Open Source 194

Open Source Artificial Intelligence Internet Internet 194

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

Official Blog - World Web Technology

NOVEMBER 22, 2023

Businesses depend mainly on software solutions to optimize operations, improve customer experiences, and drive development in today’s quickly expanding technology world. As an Indian law student, you may wonder how top software development companies in the United States play an essential part in the global IT economy.

Software 59

Software Software Development Innovation 59

Dynatrace

JANUARY 26, 2021

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week. The average request is handled, processed, and returned quickly.

Serverless 242

Serverless Efficiency Lambda Azure 242

O'Reilly

AUGUST 8, 2023

Everyone knows that ChatGPT had one of the most successful launches of any software project, passing a million users in its first five days. And, while I’ve written frequently about how ChatGPT will change programming, it will undoubtedly have an even greater effect on non-programmers. What can we make of this?

Artificial Intelligence 72

Artificial Intelligence Programming Games Open Source 72

Scalegrid

JANUARY 12, 2024

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. Ultimately improving efficiency while minimizing errors.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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 143

AWS Cloud Artificial Intelligence Innovation 143

O'Reilly

JULY 11, 2023

There’s a lot of angst about software developers “losing their jobs” to AI, being replaced by a more intelligent version of ChatGPT, GitHub’s Copilot, Google’s Codey, or something similar. Matt Welsh has been talking and writing about the end of programming as such. His reaction was “This prompt is really programming.”

Programming 99

Programming Code Design Software 99

Testsigma

MAY 15, 2021

A long time ago, we started building software, basic calculator stuff. Small, uncluttered, and light software. As the complexities of the software applications increased, the need for software testing became more and more apparent. That was when Manual testing of software applications came into being.

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

O'Reilly

DECEMBER 12, 2023

If a human writes software to generate prompts that in turn generate an image, is that copyrightable? But reading texts has been part of the human learning process as long as reading has existed; and, while we pay to buy books, we don’t pay to learn from them. What should copyright law mean in the age of artificial intelligence?

Artificial Intelligence 101

Artificial Intelligence Media Google Processing 101

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 147

Artificial Intelligence Transportation Education Airlines 147

Testsigma

DECEMBER 20, 2019

Software Testing has changed a lot! Earlier, manual testing ruled the world of testing, however, test automation increasingly became a reality in most organizations developing software. Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. trillion in 2021.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

O'Reilly Software

AUGUST 29, 2018

Call for Code is a worldwide, multi-year initiative that challenges developers to solve pressing problems with sustainable software solutions. In an effort to help the communities of the world be better prepared to handle these tough situations, David Clark Cause launched Call for Code along with IBM as the founding partner.

Code 80

Code Artificial Intelligence Development Logistics 80

Dynatrace

JULY 2, 2019

This is especially true when Dynatrace replaces an older generation of monitoring software. Once the failure is detected, Davis our artificial intelligence engine will decide whether the issue should be reported or not. Many years ago, C programs were very common and most of them relied on return codes to highlight problems.

Tuning 115

Tuning Artificial Intelligence Code Java 115

Testsigma

JULY 13, 2021

A few years back, “ codeless testing ” was interchangeably used with the “ record-and-replay ” functionality of the automation software. Codeless testing is a type of software testing that requires no code writings from the testers. With methods allowing faster software development, testing might get a bit unsynchronised with it.

Testing 52

Testing Artificial Intelligence Programming Code 52

O'Reilly

FEBRUARY 18, 2020

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. 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. In programming, Python is preeminent. Coincidence?

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

Testsigma

JULY 14, 2020

According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

Testsigma

SEPTEMBER 28, 2021

As a software developer, I have always come across people who are sceptical about new projects in the mobile app which demand technologies that they don’t know. Programming knowledge – not required. The first that comes to mind while discussing a new mobile automation testing strategy is the programming languages it supports.

Testing Tools 52

Testing Tools Mobile Testing Artificial Intelligence 52

Testsigma

JANUARY 7, 2022

This section describes the technical capabilities of the tool Testsigma, for software test automation , that help the team execute tests smoothly. This can slow down the process and delay the test results. Your legacy test code may be written in a programming language that your testers may or may not know.

Testing 52

Testing Social Media Artificial Intelligence Cloud 52

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. If we train a new AI on its output, and repeat the process, what is the result?

Programming 89

Programming Code Processing Artificial Intelligence 89

O'Reilly

JULY 25, 2023

I really wanted to go beyond these quick gut reactions that I’ve seen so much of online, so I tried using ChatGPT for a few weeks to help me implement a hobby software project and took notes on what I found interesting. I’m a professor who is interested in how we can use LLMs (Large Language Models) to teach programming.

Programming 98

Programming Code Design Benchmarking 98

O'Reilly

OCTOBER 31, 2019

It does not mean that cryptography is broken, or that we can achieve general artificial intelligence, or anything of the sort. Most of what we do on our computers—fancy graphics, email, databases, building websites, data analysis, digital signal processing—can’t be done with quantum computing.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53

O'Reilly

JANUARY 16, 2024

I even contributed my own hot take last year with my O’Reilly Radar article Real-Real-World Programming with ChatGPT.) For years I had an aspirational goal of unifying all of my backups into one central directory tree, akin to the concept of a monorepo in software development. software” rather than “hardware” in our brains).

Entertainment 73

Entertainment Internet Internet Design 73

O'Reilly

MARCH 2, 2020

Fetishizing pair programming. Agile is not, and never was, about getting developers to write software faster. If you were involved with professional programming in the 80s and 90s, you may remember how radical it was (and, in many shops, still is) to put software developers in touch with users and customers. Neckbeards?

Artificial Intelligence 21

Artificial Intelligence Software Architecture Programming Infrastructure 21

O'Reilly

MARCH 12, 2024

Software has been making a similar transition. Observability is the first step in a “transistor-like” approach to building software. Even more security issues: Language models are frequently used to generate source code for computer programs. That code is frequently insecure.

Software 16

Software Software Monitoring Programming 16

O'Reilly

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

O'Reilly

JANUARY 9, 2024

This kind of change has happened before: in the early days of computing, programmers “wrote” programs by plugging in wires, then by toggling in binary numbers, then by writing assembly language code, and finally (in the late 1950s) using early programming languages like COBOL (1959) and FORTRAN (1957).

Programming 112

Programming C++ Code Operating System 112

All Things Distributed

DECEMBER 13, 2016

Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example. With AWS, GoSquared can process tens of billions of data points every day from four continents to provide customers with a single view. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

O'Reilly

MARCH 23, 2023

Maybe it’s surprising that ChatGPT can write software, maybe it isn’t; we’ve had over a year to get used to GitHub Copilot, which was based on an earlier version of GPT. What Software Are We Talking About? This evaluation is converted into a score, which is then fed back into the training process. (In Or a text adventure game.

Google 104

Google Open Source Programming Code 104

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 76

Artificial Intelligence Technology Technology IoT 76

O'Reilly

FEBRUARY 20, 2024

And even with error rates as low as 1%, we’re easily talking about thousands of errors sprinkled randomly through software, press releases, hiring decisions, catalog entries—everything AI touches. In many cases, verifying that an AI has done its work correctly may be as difficult as it would be for a human to do the work in the first place.

Education 72

Education Healthcare Media Systems 72