Up until the last 10 years or so, artificial intelligence was the stuff of science fiction: machines that could learn from a variety of interactions to make decisions and take actions that would normally require a human to execute. Because of that science fiction, there are those who fear AI as the beginning of the rise of intelligent robots. So, ethical development of AI has become an important issue in the IT community.
Artificial intelligence is having a big impact on application development. Today, we see AI in many different computing environments. It is also popping up in customer service call centers, in dialog boxes on websites, in the Industrial Internet of Things, as well as in our children’s toys, our homes and businesses. When coupled with automated processes, machines can take over many of the more mundane tasks businesses have to complete on a daily basis.
Of course, applications of AI are much broader and more sophisticated. AI can be found in automotive controls, such as applying the brake when your car is quickly approaching the one ahead. It’s found in data analytics, processing and management, where AI can learn to spot anomalies in data and trigger alerts and actions to remediate the issue.
If you’re like us, there are things in the world — and specifically in the IT space — that get us all worked up. Today, SD Times brings you Scott Moore, a performance testing guru who’s not afraid to share his opinions on a wide range of topics relevant to our work and how we … continue reading
Today IBM announced a new AI and data platform called watsonx that is intended to allow enterprises to scale and accelerate the impact of AI with trusted data. IBM is offering an AI development studio with access to IBM-curated and trained foundation models and open-source models, access to a data store so users can gather … continue reading
Microsoft announced that it is opening Bing’s new AI chat feature to more people by moving from limited preview to open preview and eliminating the waitlist for trial as part of its initiative for the next generation of AI-powered Bing and Edge. Users can simply sign into Bing with their Microsoft account. Microsoft also announced … continue reading
GitLab and Google Cloud have announced a new partnership to deliver greater value to their customers. The result is that GitLab’s DevSecOps platform will gain the generative AI capabilities that Google Cloud has to offer. “GitLab’s vision for generative AI is grounded in privacy, security, and transparency. Our partnership with Google Cloud enables GitLab to … continue reading
Applitools, provider of a test automation platform powered by Visual AI, today unveiled the Applitools Execution Cloud. This cloud-based testing platform offers built-in self healing features geared at allowing engineering and testing teams to run existing tests against an AI-powered test infrastructure. This tool is designed to replace legacy testing grids and add AI-powered self … continue reading
Over the past several months, companies have been feeling the pressure to incorporate generative AI into their applications, as users come to expect this sort of functionality in their tools. Now, Microsoft is making it easier for companies to do so with the release of Semantic Kernel’s Copilot Chat sample app. Developers can use the … continue reading
Google’s North American Google for Startups Accelerator Cloud is aimed at supporting startups that are developing cloud-based solutions. The accelerator will provide a 10-week program for 8-12 startups and will offer them access to Google Cloud resources, mentorship, technical expertise, and networking opportunities. Startup founders and leaders can also benefit from deep dives and workshops … continue reading
Digital transformation company Digital.ai today announced the release of Corbett, the most recent update to its AI-powered DevOps platform. Corbett is geared at helping organizations deliver applications with better user experiences while also enhancing the productivity of development teams. With Corbett, teams gain access to intelligence features that allow for the leveraging of AI to … continue reading
NVIDIA’s new open-source toolkit enables developers to add topical, safety, and security features to AI chatbots and other generative AI applications built with large language models. The software includes all the code, examples, and documentation businesses need to add safety to AI apps that generate text. NVIDIA said it’s releasing the project since many industries … continue reading
The team at Google recently announced an expansion to the software development tasks included in Bard, the company’s conversational artificial intelligence chatbot. This adds the ability to help users with programming and software development tasks such as code generation, code debugging, and code explanation. These features have been launched in over 20 different programming languages, … continue reading
In today’s digital age, ensuring secure authentication at your organization is more crucial than ever. With the increasing prevalence of cyber attacks, data breaches, and identity theft, it is imperative for businesses to implement robust security measures to protect their sensitive information and assets. Passwords are still the leading cause of security breaches, and we’ll … continue reading
The team at Amazon today announced Amazon Bedrock, a service intended to help organizations build and scale generative AI applications. With this release, users gain access to foundation models (FM) from AI startup model providers such as AI21, Anthropic, and Sustainability AI. Amazon Bedrock opens up several FMs from different providers so that AWS customers … continue reading