Google, Harvard, and EdX Team Up to Offer TinyML Training

A new certification program aims to foster more development in a segment of machine learning that would run on small devices at the edge.

Online learning platform EdX; Google’s open-source machine learning platform, TensorFlow; and HarvardX have put together a certification program to train tech professionals to work with tiny machine learning (TinyML). The program is meant to support this specialized segment of development that can include edge computing with smart devices, wildlife tracking, and other sensors. The program comprises a series of courses that can be completed at home.

The idea is to scale machine learning to function in

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Freedom Financial CIO Taps Analytics for COVID Tracking

As employees trickle back to the office, Freedom Financial is using technology and analytics to help prevent the spread of COVID-19.

While some companies are extending their work-from-home plans through the end of 2020 and even into 2021 in response to the COVID-19 pandemic, many organizations also realize that some employees do their best work in an office or even prefer to work in the office. For companies looking to accommodate the return of some workers to an actual office facility, there are changes underway.

That’s the case for Freedom Financial Network, a consumer credit and financial advocacy services

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How to Integrate Edge Computing With Your Core Systems

There are five key challenges to getting edge computing devices to work with core enterprise IT systems, and several ways to work through those challenges.

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Between now and 2025, the edge computing market is expected to grow by a compound annual growth rate (CAGR) of 19.9%. It’s small wonder. Companies are deploying the Internet of Things at the edges of their enterprises, in homes, and in the field. These devices can send, receive and process data, with a next wave of deployment that is likely to focus on how to derive and process data for

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Making Predictive Analytics Work in an Uncertain World

Rapid, sometimes dramatic change has become “the new normal,” but what we know now can help us improve predictive model accuracy.

Image: Airdone – stock.adobe.com

Businesses have had to grapple with a lot of change caused by the COVID-19 pandemic. One of the obvious side effects was compromised predictive model accuracy. What worked well in 2019 won’t work as well or at all in 2020 if the training data is out of sync with what’s happening now.

In the beginning

COVID-19’s effects are truly novel. While there have been other pandemics and financial crises in recent history, none of them

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Can Artificial Intelligence Help Increase Diversity in IT?

Applied properly, AI might help bridge the diversity gap in IT by assisting with job postings, evaluating resumes and standardizing the interviewing process.

Technology companies are poster children for diversity problems in the workforce. Although they far surpass the national average when hiring Asian Americans, Brookings found African Americans and Latinos were employed in tech at half the rate as they were in all other professions. Women also lag far behind their male counterparts. There is no shortage of theories as to why these gaps persist, but no solution to date has made a significant dent in the industries’ problem.

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