As the world moves toward a new, post-pandemic normal, industries must leverage digital transformation at an accelerated pace. This is already happening.

All too often the topic of fixing dirty data is neglected in the plethora of online media covering artificial intelligence (AI), data science, and analytics. This is wrong for many reasons.

Every February, there are welcome reminders that spring is on the way. The first for me is a witch hazel bush in my front yard that defies subfreezing weather to produce fragrant yellow flowers.

Machine learning has the potential to drastically improve efficiency and the quality of care in hospitals by tackling hard-to-predict problems like ICU occupancy or which patients are likely to be readmitted.

Inside every cellphone lies a tiny mechanical heart, beating several billion times a second. These micromechanical resonators play an essential role in cellphone communication.

(ForTest: Modena, Italy) -- At the beginning of 2000, ForTest understood the importance of process traceability to optimize production efficiency and reduce waste due to nonconformities, anticipating what is now called Industry 4.0.

Last month we looked at analyzing observational data. Here we will consider experimental data and discover a weakness in the way they are obtained that can contribute to

About 3.5 million people have at least temporarily left the U.S. workforce since March 2020.

(Meller Optics: Providence, RI) -- Custom-fabricated sapphire prisms that are ideally suited for use in instruments that measure moving liquids and slurries in real-time have been introduced by Meller Optics of Providence, Rhode Island.

Life science organizations play a vital role in healthcare’s technology revolution, with a key focus on identifying the right opportunities to scale digital transformation.