In every industry, leadership teams are under pressure to deliver consistent growth in unpredictable conditions. Markets ...

In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...

Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...

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 ...

Many organizations today are overwhelmed by vast amounts of data from diverse sources, such as consumer interactions, market trends and operational processes. Mastering data management and analysis is ...

In the study Making It Look Green: Big Data Analytics, External Pressure, and Corporate Greenwashing, published in the journal Sustainability, researchers find that firms with stronger big data ...

For students enrolled Spring 2026 and beyond. The Big Data and Applied AI option reflects the growing role of artificial intelligence in business decision-making. It provides students with rigorous ...

The use of data analytics in sport, pioneered by the Oakland Athletics Major League Baseball team, and depicted in the movie “Moneyball”, has fundamentally changed how players are scouted, valued, and ...

As data and artificial intelligence continue to reshape how students learn and prepare for the future, SAS is recognizing university educators who are leading that transformation in classrooms around ...

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 ...