In this week’s roundup, learn why you must invest in humans to operationalize artificial intelligence (AI). Also, discover what a digital twin is, what the applications are, and why this is important. Finally, understand how machine learning (ML) is used to create degradable plastics, is transforming IT monitoring, and is being used to decipher ancient lost languages.

To Operationalize AI, Invest in Humans

By Ron Sielinski, contributing writer for

Not operationalizing AI results in lost time and resources, and unrealized potential. Yet a recent survey finds that only 13% of companies have moved beyond proofs of concept to scaling AI across the enterprise. The solution? Invest in humans. Companies are creating data science teams with the sole purpose of operationalizing AI, and it’s working. 


Artificial Intelligence and Digital Twins

By Calum Chase, contributing writer for

Emil Alon and his team have developed technology that creates a near-perfect simulation of any physical space in three dimensions, called a digital twin. This can be achieved with the use of highly accurate 6-DOF (degrees of freedom) tracking to capture every motion in six directions. Learn more about this exciting technology and its endless applications that we could see in the next several years.


Machine Learning and AI Can Now Create Plastics That Easily Degrade

By Erika P., contributing writer for

Most would agree that plastic pollution is a serious environmental issue, especially with the amount of single-use plastics that the world consumes. A recent study shows a way toward designing polymers using a combination of modeling and machine learning. This would accelerate the design of making materials, including plastics, with properties that quickly degrade without harming the environment and super-strong lightweight plastics for aircraft and satellites that would one day replace the metals being used. 


5 Ways Machine Learning Is Transforming IT Monitoring In 2020

By Haris Elias, contributing writer for

IT monitoring comprises a broad range of products that let analysts determine whether IT equipment is performing to expected service levels, while also managing any problems detected. AI and ML have so far been vital in taking pressure off of internal processes. As the pace of change in the industry accelerates, a critical requirement for IT operations is to support an always-on business to fill the expertise gap and allow customers to focus on their business. Here’s how.


Translating Lost Languages Using Machine Learning

by Adam Conner-Simons, contributing writer for

Did you know that most languages that have ever existed are no longer spoken and are considered lost? Without them, we miss an entire body of knowledge about the people who spoke them. But, MIT researchers recently made a major development in this area: a new system that has been shown to be able to automatically decipher a lost language without needing advanced knowledge of its relation to other languages. The goal is for the system to be able to decipher lost languages that have eluded linguists, using just a few thousand words.


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