Overview:Python dominates job markets in emerging sectors like AI, data science, and cybersecurity.Ruby remains strong in web ...

Just like algae blooms in the ocean and pollen in the spring, there’s been an explosion in the past year or two of new software, related tools and lingo from the IT and mainstream/consumer side. Some ...

A low-skilled threat actor was able to do a lot with the help of AI, Amazon researchers warn.

Docker is a widely used developer tool that first simplifies the assembly of an application stack (docker build), then allows for the rapid distribution of the resulting executabl ...

By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...

Generative AI tools analyzed target networks and wrote exploit code, enabling an opportunistic attacker to have an outsized ...

Carey Business School experts Ritu Agarwal and Rick Smith share insights ahead of the latest installment of the Hopkins Forum, a conversation about AI and labor on Feb. 25 ...

Google’s Scenario Planner gives you a no-code way to turn Marketing Mix Model insights into budget and ROI decisions. The ...

Sigma, a leader in AI applications for business, today announced preliminary business results for the fiscal year ending January 31, 2026, highlighting record momentum in revenue and customer adoption ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

The report warns CSOs that while AI is helping unsophisticated threat actors, failure to implement cybersecurity basics is fatal regardless of the attacker's skill.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.