Self-learning AI enhances behavioral analytics for detecting advanced threats and insider risks, but demands careful attention to bias, transparency, and ethical use. Self-learning AI improves threat ...

As education technology and models have evolved over recent years, data-driven learning has become a necessity. To identify effective ways of creating more customized classroom experiences, many ...

This ebook, based on the latest ZDNet / TechRepublic special feature, examines how advances in AI, visualization and cloud technology are shaping modern data analytics, and how businesses are ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Learning analytics is a data‐driven approach that systematically collects, analyses and reports information about learners and their educational contexts. By harnessing large-scale data from digital ...

How does a university take the inordinate amount of data it collects and somehow make sense of it to build strategies for driving change in the classroom? And is it worth the investment? According to ...

LONDON--(BUSINESS WIRE)--The new Learning Analytics Market Research from Technavio indicates Positive and Superior growth in the short term as the business impact of COVID-19 spreads. "One of the ...

Significant advances in artificial intelligence (AI) are rapidly changing many aspects of our lives, including education. These changes come with benefits and challenges. Targeted learning experiences ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Continuum Analytics, H2O.ai, and MapD Technologies have announced the formation of the GPU Open Analytics Initiative (GOAI) to create common data frameworks enabling ...

The Bellevue-based K-12 EdTech Company, DreamBox Learning, has recently launched new data and analytics tools to assist teachers with tracking student progress and to close learning gaps. “Now that ...

Gaurav Aggarwal is Co-Founder of Sleek and Forbes 30u30. At Sleek, he is reinventing the way people wait in line. Traditionally, machine learning models are trained on copious amounts of data. This ...