Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data to ...

The lack of a solid data foundation and solid data workflows is preventing companies from making more progress with machine learning and AI, according to a new Forrester Consulting survey conducted on ...

It is no longer a secret that big data is a reason behind the successes of many major technology companies. However, as more and more companies embrace it to store, process and extract value from ...

The Master of Science in Machine Learning and Data Science program at Northwestern University is housed within the Department of Industrial Engineering and Management Sciences, a top 5 department in ...

Data science and machine learning technologies continue to rapidly evolve, providing innovative ways for businesses to leverage their data assets and automate data-focused processes. Here are 10 ...

Poor data quality is enemy number one to the widespread, profitable use of machine learning. While the caustic observation, “garbage-in, garbage-out” has plagued analytics and decision-making for ...