AI is changing how we create, deliver and measure learning. But in my experience working in professional development, the seismic shifts we’re seeing in this sector aren't rooted in AI tool adoption ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Sep 15, 2025, 11:50am EDT Two business people looking at ...

Anthropic, the leading artificial intelligence organization and developer of the Claude series of AI systems, has introduced a comprehensive online-based learning platform with free self-study courses ...

For software developers today, staying competitive means embracing AI technologies. Here’s how some developers are staying ahead of the curve. Today, it is nearly impossible for anyone in a software ...

Redesigning learning experiences, not just adding tools, can build faculty confidence and develop students’ critical, ethical ...

Pressure grows for software better aligned with business. Agile techniques have been stagnant for a decade. AI may speed up Agile team output. Agile has always had the best intentions: work side by ...

They say that fall is a time of transition. Kids go back to classes, leaves fall off trees, and the nights start to draw in. Fall is also the perfect time to pause and think about your next career ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

Artificial Intelligence is no longer a niche skill. It is the hub of innovation in the modern world, reshaping the sectors of finance, healthcare, marketing, and production. By 2025, the need to know ...

Apple has published three interesting studies that offer some insight into how AI-based development could improve workflows, quality, and productivity. Here are the details. Software Defect Prediction ...

These practical capabilities develop through hands-on experience with industry-grade tools, realistic datasets, production ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.