Beginners should undertake data science projects as they provide practical experience and help in the application of theoretical concepts learned in courses, building a portfolio and enhancing skills.

Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically takes ...

“If your competitors are applying AI, and they’re finding insight that allow them to accelerate, they’re going to peel away really, really quickly,” Deborah Leff, CTO for data science and AI at IBM, ...

Five proposals have been selected for the second round of funding in the Education Ecosystem sector of Purdue's Integrative Data Science Initiative. The IDSI education request for proposals this ...

Data science has boomed over the past decade, following advances in mathematics, computing capability and data storage. Australia’s Industry 4.0 taskforce is busy exploring ways to improve the ...

Data science startup RapidCanvas Inc. today announced that it closed a $16 million funding round led by Peak XV,. Titanium Ventures, Accel and Valley Capital Partners also contributed to the ...

85% of big data projects fail, but your developers can help yours succeed Your email has been sent A year ago, Gartner estimated that 60% of big data projects fail. As bad as that sounds, the reality ...

Cornell’s CU GeoData project team brings together engineering and earth science students to design and deploy low-cost ...