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COVID-19 has created an urgent need for organizations to accelerate their digitalization efforts.

Even during a pandemic, the tech industry has continued to evolve. Some changes—such as the explosion of e-commerce and the increasing use of smart assistants—have been driven by Covid-19’s effect on everyday living. Others, such as 5G and edge computing, have been on the horizon or the fringes for some time but are now seeing more widespread implementation.

There's no shortage of articles that will opine about how tumultuous 2020 was for the economy, jobs, and industry as the world grappled with the impact of COVID-19 on business and daily life. However, there's reason to be optimistic, especially in manufacturing. 

IDC estimates that the market for solutions for everything to do with augmented and virtual reality grew by almost 70 percent in 2019. Four pilot projects show the use in repair / maintenance, training and the transfer of knowledge to retirees.

COVID-19 changed the way businesses operate, but executives must look beyond the pandemic to other global issues that will shape business in the 2020s.

If you're thinking about installing robots in your warehouse, you're not alone.

Direct-to-consumer deliveries are the way of the future, and becoming even more important due to COVID-19. However, logistics companies are struggling to meet demand amid a barrage of factors, from ever-changing road conditions to managing temperature-sensitive deliveries of medications. A powerful new streaming data software technique, called real-time digital twins, can provide the insights needed to answer critical logistics questions, reduce unknown variables, and improve the efficiency of operations.

In the first wave of the pandemic, employees in the manufacturing industry were among the hardest hit. Many manufacturers across the country saw huge clusters break out at plants and factories – including one incident at Tyson where 95% of tests came back positive – which rightfully caused worry and concern among both workers and the public.

Automation. The word itself recalls images of a time ahead: of flying cars, of Jetsons, of robots designed to serve, and generally futuristic living. Though flying cars have yet to grace the skies, the futuristic living we seek has already arrived.

Google’s artificial intelligence unit took a giant step to predict the structure of proteins, potentially decoding a problem that has been described as akin to mapping the genome.

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