In this week’s roundup, we take a look at how the novel coronavirus pandemic is showing the need for swift AI adoption across many industries, including IT, medicine, and education. We also see how AI can assist data-heavy industries such as banking and learn that—just like humans—some AI systems need the equivalent of a good night’s rest.
by Calum Chace, contributing writer to Forbes.com
Industries that rely heavily on data, such as banking and law, need to incorporate AI into their systems in order to compete in the near future. Manually sorting through and analyzing data takes significant time, and AI—particularly natural language processing (NLP) can help banking and law organizations automate data-processing activities. This change will mean companies need fewer junior employees who previously worked with data. It’s important for business leaders to think ahead and plan on retraining some employees on new technologies.
by Anthony Cuthbertson, contributing writer for Independent.co.uk
Science has long shown that human brains need sleep in order to function correctly, and new research shows that some AI are no different. A central part of AI is that the technology needs to learn over time by continuously analyzing new information, but researchers studying how humans learn to see came across an interesting side effect: the AI became erratic and unstable when it ran without supervision for long, uninterrupted periods of time.
by John Edwards, contributing writer for InformationWeek.com
A recent study on CIOs and other IT executives in the federal government found that those who are the most intent on adopting new technologies, including AI, are gaining ground over those who prefer legacy technology and manual systems. Part of the push towards AI across all of IT comes from the coronavirus pandemic, which has caused budget cuts for many departments. Therefore, where CIOs choose to invest is more important than ever. Those who focus on areas such as scalability and automation are most likely to find success.
by Pascale Fung, contributing writer for WeForum.org
The novel coronavirus pandemic has created a need to analyze incredible amounts of data in a short period of time. These tasks include contact tracing, vaccine development, and evaluate endless amounts of medical information from hospitals around the world. Finding the statistical significance among all of this data to help contain the pandemic would take manual scientists years, but AI and machine learning technologies are doing so in record time. These tools can comb through thousands of research papers and give scientists key information as they rush to find ways to stop the pandemic.
by Sameer Maskey, contributing writer for Forbes.com
The coronavirus pandemic has disrupted nearly every industry, including education. Higher education institutions have offered online degrees and programs for years, but many education professionals are coming to realize that increased online learning at all levels is very likely in the future. These professionals need to consider how AI can assist teachers and administrators in facilitating online learning. While some might be reluctant to adopt distance learning, AI has significant potential to lessen the load on overworked teachers by supplementing and automating their work.
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