In 2018, it seemed like a day barely goes by without someone announcing the opening of a new AI lab (MIT, IBM, Alibaba, Baidu, Intel, Google, Facebook - the list goes on). And yes, this is another one of those announcements… sort of. But here’s why the launch of the Enterprise AI Lab is different.
Inefficient hospital staffing is often due to a lack of data-driven decision making. AI could help reduce health worker burnout and improve patient care.
See how banks are detecting fraudulent transactions today, and leverage our code samples to try your own machine learning-based solution.
Big data and AI at scale means deciding between making or buying solutions and developing a team in-house vs. outsourcing. What are the advantages to each?
Accelerating Growth & Team Collaboration with a Common PlatformSave to Library
Enabling a Data-Driven Organization via People, Processes, & TechnologySave to Library
Improving the Data Department’s Agility and Speed Through Reproducible WorkflowsSave to Library