With businesses uncovering more and more use cases for artificial intelligence and machine learning, data scientists find themselves looking closely at their workflow. There are a myriad of moving pieces in AI and ML development, and they all must be managed with an eye on efficiency and flexible, strong functionality. The challenge now is to … continue reading
Automated testing began as a way to alleviate the repetitive and time-consuming tasks associated with manual testing. Early tools focused on running predefined scripts to check for expected outcomes, significantly reducing human error and increasing test coverage. With advancements in AI, particularly in machine learning and natural language processing, testing tools have become more sophisticated. … continue reading
JFrog introduced a new integration between JFrog Artifactory and Amazon SageMaker to streamline the process of building, training, and deploying machine learning (ML) models. This integration will allow companies to manage their ML models with the same efficiency and security as other software components in a DevSecOps workflow. In the new integration, ML models are … continue reading
Mendix, a Siemens business and global leader in modern enterprise application development, today outlined powerful new and robust AI and machine learning capabilities, including innovative context-aware AI developer tools, which will all be available upon the release of Mendix 10, to be announced during a live streaming event on June 27th. The new AI and Machine … continue reading
Innovation is essential for software engineering leaders to circumvent competition and create an attractive technology landscape for users and developers. Innovation keeps processes, tools and outcomes fresh and productive. However, software engineering teams often experience burnout due to the demand for innovation and have little energy to innovate their own processes and practices. Software engineering … continue reading
Artificial intelligence is one of the digital marketplace’s most overused buzzwords. The term “AI” conjures up images of Alexa or Siri, computer chess opponents, and self-driving cars. AI can help humans in a variety of ways, including reducing errors and automating repetitive tasks. Software test automation tools are maturing and have incorporated AI and machine learning … continue reading
The application of artificial intelligence (AI) and machine learning (ML) in software testing is both lauded and maligned, depending on who you ask. It’s an eventuality that strikes balanced notes of fear and optimism in its target users. But one thing’s for sure: the AI revolution is coming our way. And, when you thoughtfully consider … continue reading
It seems that every day in the tech world we hear about the salvation that the new era of the web will bring by taking away mega corporations’ hold on user data and giving control back to the people (at least some of it). But it isn’t until we read into the matter further that … continue reading
The BigCode initiative’s aim is to build state-of-the-art large language learning models (LLMs) to build code in an open and responsible way. Code LLMs enable the completion and synthesis of code from other code and natural language descriptions, and enables users to work across a wide range of domains, tasks, and programming languages. The initiative … continue reading
OpenAI has removed the waitlist for the DALL-E beta so that users can get started right away. DALL-E allows users to type infinite combinations of prompts that will each generate a unique set of images generated by ML/AI. Whether the prompts are as simple as “an armchair in the shape of an avocado” or as … continue reading
Despite the growing complexity of the software that drives organizations, few companies have fully automated testing or are using AI, according to new research conducted by Forrester and commissioned by Keysight. For the study, Forrester conducted an online survey in December 2021 that involved 406 test operations decision-makers at organizations in North America, EMEA, and … continue reading
TigerGraph today announced new features for TigerGraph Cloud, including the addition of multi-user collaboration, integrated login, private networking options, and extended global cloud coverage. The Enterprise IAM (Identity and Access Management) feature allows for a single enterprise account to manage multiple users and their role-based access with a holistic view of all solutions in one … continue reading
