The Future of Jobs 2020 report has found that COVID-19 has caused the labour market to change faster than expected. The research released today by the World Economic Forum indicates that what used to be considered the “future of work” has already arrived.
The new World Robotics 2020 Industrial Robots report shows a record of 2.7 million industrial robots operating in factories around the world – an increase of 12%. Sales of new robots remain on a high level with 373,000 units shipped globally in 2019. This is 12% less compared to 2018, but still the 3rd highest sales volume ever recorded.
Sales value of professional service robots increased by 32% to USD11.2 billion worldwide (2018-2019). The COVID-19 pandemic will further boost the market. High demand for robotics disinfection solutions, robotic logistics solutions in factories and warehouses or robots for home delivery are examples of this trend.
Gartner, Inc. identified the top 10 data and analytics (D&A) technology trends for 2020 that can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset.
“To innovate their way beyond a post-COVID-19 world, data and analytics leaders require an ever-increasing velocity and scale of analysis in terms of processing and access to succeed in the face of unprecedented market shifts,” said Rita Sallam, distinguished research vice president at Gartner.
Tomorrow’s industrial Internet will integrate technologies that imitate human cognitive skills such as the ability to plan, to learn, and to perceive our surroundings. The Fraunhofer Cluster of Excellence Cognitive Internet Technologies CCIT is working to realize the vision of a Cognitive Internet of Things. Digitalization holds enormous potential for German industry, enabling companies to automate manufacturing processes, make them more efficient, adopt new business models, and offer customized products. “That calls for highly productive, cost-effective, flexible manufacturing processes, based on secure IoT technologies, trusted data infrastructures and reliable machine learning methods. We have all the expertise needed to do this at Fraunhofer CCIT and are researching specific application scenarios,” says Prof. Claudia Eckert, spokeswoman of the executive board.