Last year, I wrote about the 10 ways generative AI would transform software development, including early use cases in code generation, code validation, and other improvements in the software ...
RPA development relies on process analysts and low-code tools. Generative AI initiatives require data engineering, model evaluation, and security expertise. By 2026, organizations are segmenting teams ...
The software development industry is currently undergoing a significant paradigm shift, driven in part by the emergence of ...
AI is reshaping software development, shifting work from coding to orchestration, governance, and skills evolution while ...
The impact AI has had on the world at large in 2025 is difficult to quantify. Every facet of modern life, from culture and politics to communication and interpersonal interactions, has been and ...
Overview: AutoOps extends DevOps by embedding AI across coding, testing, deployment, monitoring, and optimization to create ...
As the software development landscape transforms unprecedentedly, AI-generated code is becoming one of the most disruptive innovations in the engineering world. With generative AI models now capable ...
Generative AI has entered the world of software development—and it’s making waves. In this episode of Today in Tech, host Keith Shaw is joined by Murali Sastry from Skillsoft and Eran Yanav from ...
NVIDIA has rolled out generative artificial intelligence (AI) tools to a vast portion of its engineering workforce, ...
Generative artificial intelligence (GenAI) might be good at drafting business emails, but it is dangerously bad at writing software code. Malicious actors are exploiting AI-fabricated software ...
The shift toward software-defined vehicles (SDVs) will receive a massive boost through the implementation of generative AI (GenAI) across many areas of automotive technology. The effects will be ...
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