As many parts of the world continue to remain in lockdown due to the global pandemic, many countries have started to ease the restrictions. Particularly in Australia & New Zealand, schools have reopened, workers are heading back to their offices, and restaurants & retail stores are beginning to resume trade with new set of guidelines. These guidelines might also vary from one state to another and hence businesses that operate and have offices in different states, need to provide relevant updates to their employees to be able to comply with the new regulations. The most common practice from employers is to send out regular emails outlining the guidelines. Chatbots are beginning to play a vital role in providing real-time upto date information.
After a hiatus because of the COVID-19 pandemic, the IPO market has come roaring back. Just look at yesterday's offering for Lemonade (NYSE:LMND). The shares spiked by 139% to $69.41--putting the market cap at over $3 billion. Part of the success has been the overall bullishness in the equities markets. But there is something else that is important: Lemonade is a next-generation AI company.
The world is in the midst of a historical turning point. The COVID-19 pandemic has effectively halted life as we once knew it, and left the open question, "what will our world look like when'normal' life resumes?" While we don't have a crystal ball that allows us to peer into the future, history has given us a template on what to expect. Past pandemics have shaped politics, crashed economies, purred revolutions and produced other profound societal transformations. In the 14th century, the bubonic plague killed more than 60 percent of Europe's population – a dramatic population decline that actually improved living standards for the survivors and marked the decline in serfdom.
To build this tool, we first needed data. We teamed up with an infectious disease specialist, Xiangao Jiang, in Wenzhou, Zhejiang, China. When we started working on this in early January, Wenzhou had the largest outbreak outside of Hubei, of which Wuhan is the capital. Between January and February, Dr. Jiang's team collected and shared with us information from 53 COVID-19 patients at two hospitals. We got data on symptoms like fever, cough and diarrhea, lab values like blood cell counts, kidney function, inflammatory markers and vital signs and also X-rays.
Artificial Intelligence (AI) refers to intelligent machines that work and react like humans. AI helps to deliver insights to complex client questions in real time through its virtual conversational interface between business and clients. AI enabled applications such as natural language generation (NLG) is closing the gap between data analysis and investment decisions, providing real-time insights through automated trading strategies. For instance, according to a survey in 2018 by Forbes, 34% of wealth management companies have currently deployed AI within their firms and around 99% plan on deploying AI within the next 3 years. Companies such as Wells Fargo and Bank of America have already deployed AI services to better serve clients.
An important aspect of treating patients with conditions like diabetes and heart disease is helping them stay healthy outside of the hospital--before they to return to the doctor's office with further complications. But reaching the most vulnerable patients at the right time often has more to do with probabilities than clinical assessments. Artificial intelligence (AI) has the potential to help clinicians tackle these types of problems, by analyzing large datasets to identify the patients that would benefit most from preventative measures. However, leveraging AI has often required health care organizations to hire their own data scientists or settle for one-size-fits-all solutions that aren't optimized for their patients. Now the startup ClosedLoop.ai is helping health care organizations tap into the power of AI with a flexible analytics solution that lets hospitals quickly plug their data into machine learning models and get actionable results.
The economic fallout from the COVID-19 pandemic has caused an unprecedented crisis in journalism that could decimate media organizations around the world. The future of journalism -- and its survival -- could lie in artificial intelligence (AI). AI refers "to intelligent machines that learn from experience and perform tasks like humans," according to Francesco Marconi, a professor of journalism at Columbia University in New York, who has just published a book on the subject: Newsmakers, Artificial Intelligence and the Future of Journalism. Marconi was head of the media lab at the Wall Street Journal and the Associated Press, one of the largest news organizations in the world. His thesis is clear and incontrovertible: the journalism world is not keeping pace with the evolution of new technologies.
As the coronavirus pandemic continues, Bloomberg Opinion will be running a series of features by our columnists that consider the long-term consequences of the crisis. This column is part of a package on the future of tech and innovation. For years, artificial intelligence seemed on the cusp of becoming the next big thing in technology -- but the reality never matched the hype. Now, the changes caused by the Covid-19 pandemic may mean AI's moment is finally upon us. Over the past couple of months, many technology executives have shared a refrain: Companies need to rejigger their operations for a remote-working world.
Hawaii is ready for its midpandemic tourism boom. Starting on Aug. 1, tourists looking to visit Hawaii will be able to bypass the state's two-week quarantine requirement for arrivals by getting a negative COVID-19 test within 72 hours before landing in the state. Visitors can also have their quarantines cut short if they receive negative test results during those two weeks. The same rules will also apply to residents returning to the islands. Hawaii won't pay for the tests; travelers will have to handle that themselves before departure, though screeners will still administer temperature checks at airports.
The implementation of artificial intelligence and machine learning in the healthcare sector has been rather diverse and extensive over the past few months, owing to the coronavirus pandemic. The reliance on these technologies is growing, primarily because of their ability to simplify the assessment of complicated data and cases. Therefore, now would be the ideal time for one to look at a couple of AI stocks from an investment perspective. Looking closely at the growth prospects of AI in the healthcare sector, one finds can find many. According to a report by Markets and Markets, artificial intelligence in the global healthcare market is expected to grow from $4.9 billion in 2020 to $45.2 billion by 2026 at a CAGR of 44.9%. While the major reasons for using artificial intelligence in healthcare are the rising volume of healthcare data and increasing complexities of datasets, the need to bring healthcare costs down, and improving computing power and lessening hardware costs.