DSDE: Emerging Technology

To drive progress in the field of data science, the authors propose 10 challenge areas for the research community to pursue. Because data science is broad, with methods drawing from computer science, statistics, and other disciplines, these challenge areas speak to the breadth of issues.

Incorporating imagination into AI agents has long been an elusive goal of researchers in the space. Imagine AI programs that are able not only to learn new tasks but also to plan and reason about the future.

“Being mindful is about being intentional,” said Ahmer Inam, chief AI officer at technology consulting firm Pactera Edge. “Mindful AI is about being aware and purposeful about the intention of, and emotions we hope to evoke through, an artificially intelligent experience.”

Data scientists working with large data sets or in high-performance computational environments may find these programming languages essential to extracting data quickly and effortlessly.

It would literally be a world full of data centers, including the largest and the smallest varieties. But whose networks would they be? The answer depends on where these data centers are—or perhaps vice versa.

Lloyd’s Register has partnered with STC Global to create an artificial intelligence tool expected to provide insight from incident data captured by HSE functions but left untapped.

Brazil’s national oil company details the results of 6 years of real-time drilling monitoring. The next step is to move toward optimization, then automation.

Forced to tighten their belts financially by the coronavirus pandemic, businesses are increasingly using software that automates back-office tasks. The idea, of course, is for companies to save money by reducing the number of workers they need to handle clerical work.

This story reviews well-adopted ideas that have stood the test of time, presenting a small set of techniques that covers a lot of basic knowledge necessary to understand modern deep learning research.

In industries where data is key to gaining competitive advantage, artificial intelligence and machine learning have become necessities. Tim Custer, senior vice president with Apache, shares how artificial intelligence is affecting the way the energy business operates.