Patient experience and care quality are crucial for a hospital's sustainability and reputation. The analysis of patient feedback offers valuable insight into patient satisfaction and outcomes. However, the unstructured nature of these comments poses challenges for traditional machine learning methods following a supervised learning paradigm. This is due to the unavailability of labeled data and the nuances these texts encompass. This research explores leveraging Large Language Models (LLMs) in conducting Multi-label Text Classification (MLTC) of inpatient comments shared after a stay in the hospital. GPT-4 Turbo was leveraged to conduct the classification. However, given the sensitive nature of patients' comments, a security layer is introduced before feeding the data to the LLM through a Protected Health Information (PHI) detection framework, which ensures patients' de-identification. Additionally, using the prompt engineering framework, zero-shot learning, in-context learning, and chain-of-thought prompting were experimented with. Results demonstrate that GPT-4 Turbo, whether following a zero-shot or few-shot setting, outperforms traditional methods and Pre-trained Language Models (PLMs) and achieves the highest overall performance with an F1-score of 76.12% and a weighted F1-score of 73.61% followed closely by the few-shot learning results. Subsequently, the results' association with other patient experience structured variables (e.g., rating) was conducted. The study enhances MLTC through the application of LLMs, offering healthcare practitioners an efficient method to gain deeper insights into patient feedback and deliver prompt, appropriate responses.

ChatGPT is just the latest technology to fuel worries that it will wipe out the jobs of millions of workers, whether advertising copywriters, Wall Street traders, salespeople, writers of basic computer code or journalists. But while many workforce experts say the fears that ChatGPT and other artificial intelligence (AI) technologies will cause unemployment to skyrocket are overblown, they point to another fear about AI: that it will widen the US's already huge income and wealth inequality by creating a new wave of billionaire tech barons at the same time that it pushes many workers out of better paid jobs. Like many revolutionary technologies before it, AI is likely to eliminate jobs. But, as has been the case in the past, experts argue, AI will likely offset much of that by spurring the creation of new jobs in addition to enhancing many existing jobs. The big question is: what sort of jobs?

Food is one of the most essential necessities of human life. Many businesses, such as restaurants, revolve around food, which is almost a guaranteed profit. However, there is always room for improvement, whether it's enhancing the qualities of one's business or branching out to reach a mass audience. That's where technology comes into play. Nowadays, many companies are providing technology to perfect the food industry, from enhancing the quality of delivery services to improving food planning.

The rise in robotics technology has dramatically impacted the hospitality industry. With the rise of AI and automation, it's no wonder innovations are coming out in the hospitality industry. From robotic chefs to robot receptionists, it's becoming clear that these machines are more than just a novelty; they're here to make things easier for us humans. Robots are quickly becoming an essential part of the hospitality industry as they can automate tasks and save time for employees. This blog post will discuss how robotics is changing the hospitality industry and how it can benefit businesses.

A McKinsey report from Michael Chui, James Manyika, and Mehdi Miremadi looked at the detailed work activities of more than 800 occupations across 54 countries to study the technical potential for automation and found that almost half of work activities globally could be automated using current technology. However, just because something can be automated doesn't mean it will be. The cost of developing and deploying the hardware and software for automation must be considered, as well as the supply-and-demand dynamics of labor. Other factors include the relative superiority of automation, and regulatory and social acceptance of automation for any particular task or occupation. Jobs that are most vulnerable to automation are highly structured tasks in predictable environments.

The novel coronavirus pandemic is certainly not good for the labor market. Recent weeks have seen unemployment claims surge to record levels as businesses and entire industries shutter in order to stop the spread of the Covid-19. As a result, the economy has plummeted, with the Dow Jones Industrial Average and S&P 500 down more than 20 percent from their February highs. While social distancing measures may be temporary, this economic downturn's effect on the labor market will have long-lasting effects. In a joint post with his colleagues, Mark Muro, a senior fellow and policy director at the Brookings Institution's Metropolitan Policy Program, recently wrote, "any coronavirus-related recession is likely to bring about a spike in labor-replacing automation."

According to Kerry Vice President Marketing & Strategy APMEA Parth Patel, Trendspotter was developed in order to both launch F&B products ahead of trend as well as to reduce the lead time for innovation by up to seven months. "Imagine, if as a branded food and beverage player you are able to launch a new product ahead of its trend. Basically, you are creating a runway for yourself and most probably you are going to be the only player, hence chances of success are high," he told FoodNavigator-Asia . "We aim to reduce the lead time for innovation and the chances of failure of new product launches, while increasing the probability of success by focusing on those trends which are emerging and not yet mainstream." The need here comes from high rates of recorded failures – a recent Nielsen study found that 85% of new product launches fail within 18 to 24 months, driving high burdens in terms of cost, time, and effort for all major F&B companies.

Robots aren't replacing everyone, but a quarter of U.S. jobs will be severely disrupted as artificial intelligence accelerates the automation of existing work, according to a new Brookings Institution report. The report, published Thursday, says roughly 36 million Americans hold jobs with "high exposure" to automation -- meaning at least 70 percent of their tasks could soon be performed by machines using current technology. Among those most likely to be affected are cooks, waiters and others in food services; short-haul truck drivers; and clerical office workers. "That population is going to need to upskill, reskill or change jobs fast," said Mark Muro, a senior fellow at Brookings and lead author of the report. Muro said the timeline for the changes could be "a few years or it could be two decades."

Survey participants in a wide variety of industries were asked to select the three jobs most likely to be replaced by AI from among the following options: Accountant/Tax Preparer, Data Entry, Food Service, Insurance Underwriters, Manufacturing, Paralegal, Pharmacist, Retail/Checkout Clerk, Telemarketer, Transportation/Driver, and Other. The Genesys findings reveal that US employees working in Education/Training and as Doctor/Nurse/Caregivers are the least afraid that AI/bots will take their jobs within the next 10 years. Human Resources employees, who should have the pulse on employment trends, identified Data Entry and Retail/Checkout jobs as the most likely to be replaced by AI, and equally at risk. Employees working in Customer Service tend toward pessimism, selecting the jobs of Retail/Checkout Clerk and Telemarketer as the most likely to suffer from AI. Surprisingly, Transportation-related jobs, such as drivers, are considered by only 16% of U.S. survey respondents as among the most likely functions to be replaced by AI. This response appears to indicate that participants are not paying close attention to the predicted coming revolution in autonomous vehicles and trucking fleets.

Around the world, an industry has emerged around automating food service through robotics, raising questions about job security and mass unemployment while also prompting praise for streamlining and innovation. In the epicenter of Silicon Valley, where innovation is exalted beyond all else, this industry has played out in various forms, from cafes, burger shops and pizza delivery to odd vending machines. Man cannot survive on bread alone, the saying goes, but in the Bay Area, a woman could conceivably sustain herself on a varied menu of foodstuffs that had not passed the hand of man in preparation at all that day. And that woman is me. I began my day with a coffee at CafeX, where I met Francisco, the dancing and spinning robotic arm.