The covid-19 pandemic has shown us how much health care is in need of not just tweaking but radical change. The pressure on global health systems, providers, and staff has already been increasing to unsustainable levels. But it also illustrates how much can be achieved in times of crisis: for example, China and the UK recently built thousands of extra beds in intensive care units, or ICUs, in less than two weeks. Health-care reform will need to spur a totally different approach to how care is organized, delivered, and distributed, which will be paramount in a (hopefully soon) post-covid-19 era. It's the only way to deliver the quadruple aim of health care: better outcomes, improved patient and staff experience, and lower cost of care.

In less than two months, covid-19 created arguably the world's largest collective shift in social activity and working practices. Research firm Global Workplace Analytics estimated in a 2018 report that 4.3 million people in the US worked remotely, representing just 3.2% of the country's workforce. In a March 2020 poll of 375 executives by MIT Technology Review Insights, over two-thirds reported that more than 80% of their workforce is now working remotely. As business leaders have sought to safeguard not only the health of staff, but the health and productivity of their companies, the pandemic has thrown up many questions--some that require immediate answers, others that need a longer-term plan. This report explores a new data set, developed by future-of-work software company Faethm, to examine the degree to which "business critical" jobs across industries are "remoteable," and to what extent those jobs could be supported with artificial intelligence (AI) and automation technologies in the future.

If yes, then you've landed on the right 5 part blog series which will provide you with all the practical information that you will need to derive real life value from data.

Morse S. How health insurance companies use AI to make consumers healthier.

The first sports robot which Tanaka created, was one that reproduced particular techniques found in Japanese martial arts. Traditional Japanese martial arts feature a variety of body control exercises, within which exist some truly amazing techniques. One such technique allows you to "defeat your opponent without having to use any force at all." During his time studying for his postgraduate degree, Tanaka met Kunihiro Ogata - a senior member of the Intelligent Systems and Informatics Laboratory (currently at the National Institute of Advanced Industrial Science and Technology). After studying these martial arts, Ogata decided to incorporate motion-capture technology in an attempt to measure and scientifically analyze the body control exercises found in martial arts.The aim was to see if he could gain some clear understanding of the principles behind these techniques and discover if they could be incorporated into the design and manipulation of robots.

In the fight against COVID-19, several artificial intelligence labs are turning to an unexpected piece of evidence that might help diagnose the illness: people's voices. A team of researchers from Harvard and MIT is using machine learning to comb through voice recordings from COVID-19 patients and healthy people in an attempt to identify specific vocal signatures that could indicate someone is carrying the virus. A similar project is underway at Carnegie Mellon University's CyLab. Research is still in early stages, but the teams aim to develop AI tools that could tell people whether they have coronavirus based on an audio recording of their voice. If proven successful, the tools could allow more people to choose to self-isolate even if they don't have access to a COVID-19 test.

Salesforce today announced the AI Economist, a research environment designed to elucidate how economic design might be improved with techniques from the field of AI and machine learning. The goal is to help economists, governments, and others design tax policies that optimize not only productivity and conservation, but that promote widespread, whole-country social equality. Studies have shown that income inequality gaps can negatively impact economic growth, economic opportunity, and even health. For example, over-taxation can discourage people from working, leading to lower productivity. But it's difficult to experiment with tax policies in the real world, at least in part because economic theory relies on stylized assumptions that are tough to validate, like people's sensitivity to taxes. The AI Economist, then, learns the best tax policies from simulations in which citizens and a government adapt and learn.

Privacy issues sit at the forefront of online activity, business actions, and government decisions. This is largely in response to the breaches, scandals, and personal data leaks that have eroded confidence in technology and information systems. The National Security Telecommunications Advisory Committee's (NSTAC) Report to the President on a Cybersecurity Moonshot says that privacy is a crucial component of cybersecurity and that we must flip the narrative to restore the trust Americans place in information systems. To achieve this, by 2028, Americans need to be "guaranteed" that technological advancements will no longer threaten privacy but will instead enhance privacy assurance through the safety and security of their personal data. One critical element in future technology advancements and online security is the increased development of artificial intelligence (AI). However, privacy principles must be considered early on in the AI development process to balance technological benefits while preserving privacy.

Several companies told Reuters the software will be crucial to staying open as concerns about COVID-19, the respiratory illness caused by the virus, persist around the world. It will allow them to show not only workers and customers, but also insurers and regulators, that they are monitoring and enforcing safe practices. "The last thing we want is for the governor to shut all our projects down because no one is behaving," said Jen Suerth, vice president at Chicago-based Pepper Construction, which introduced software from SmartVid.io Samarth Diamond plans to deploy AI from Glimpse Analytics as soon as its polishing factory re-opens in Gujarat, India, while two Michigan shopping centers owned by RPT Realty will have distancing tracking from RE Insight in two weeks. Buyers expect the technology will work because they already have used similar tools to profile shoppers entering stores and find helmet scofflaws on construction sites.

Artificial intelligence (AI) technology that uses algorithms to assist in decision-making offers tremendous opportunity to make predictions and evaluate "big data." The Federal Trade Commission (FTC), on April 8, 2020, provided reminders in its Tips and Advice blog post, Using Artificial Intelligence and Algorithms. This is not the first time the FTC has focused on data analytics. In 2016, it issued a "Big Data" Report. AI technology may appear objective and unbiased, but the FTC warns of the potential for unfair or discriminatory outcomes or the perpetuation of existing socioeconomic disparities.