Overview: Data science conferences in 2026 will focus heavily on real-world AI applications and enterprise analytics.These ...
ZDNET's key takeaways Data mobility is essential for optimizing process flow and organizational health. System integration is ...
DataScience.com has rolled out extensive new features to accommodate the requirements of enterprise data science teams including deployment of the platform on-premise and across multiple public cloud ...
Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...
Proprietary solutions, once the mainstay of enterprise data science, are now being eclipsed by open source projects like R, Spark, and TensorFlow. There are several reasons for this trend: Open source ...
Shashank Kadetotad is the Global Senior Director of Enterprise Data Science and AI Delivery at Mars, where he oversees the implementation of AI across the company's consumer goods operations. His work ...
Within the tech community, AI was the topic in 2024. It was also a year in which people and organizations tried to make sense of the fast-evolving AI landscape, understand its utility and identify ...
Nurketin Savas is the Vice President and Head of Enterprise Data Science at Capital One. Nurtekin leads the Enterprise Data Science team at Capital One, building, deploying, and managing machine ...
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 ...
Engine Data Science, LLC, a leading data and analytics platform purpose-built for the retail and CPG ecosystem, today ...
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