Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

How hands-on coursework, industry experience, and community prepared APAN graduates to lead in data-driven roles.

In today's digital-first world, data is not just information--it is insight, strategy, and competitive advantage. From ...

We are now getting closer to the adoption of AI for business as a direct contributor more than before, with generative AI emerging as a transformative force. Generative AI, which is technically a ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

Scientific Games has named Ovie Doro ("Doro") as Senior Vice President of Data, Analytics & AI, strengthening the company's investment in advanced analytics, data science and AI-driven insights to ...

The ASU Library Unit for Data Science hosted the Data Science Student Open Project Showcase on Friday, bringing students, faculty and community members together to explore how data can drive positive ...

The Global Data Science and Predictive Analytics market offers significant opportunities driven by growing enterprise data and the need for real-time intelligence. Cloud infrastructure enhances ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...