Friday, August 9, 2024

Colleges are Using AI To Prepare Hospitality Workers of The Future

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AI could not only reduce the number of jobs, but it has already begun to change the way existing jobs are done by handling tasks such as guest check-ins, customer inquiries and the like. For that reason, in the hospitality industry of the future, rather than people who interact with customers, the industry will need more data analysts, AI managers and people who can provide tech support.

That’s because AI can perform routine and repetitive tasks, such as booking reservations and answering customer inquiries. Universities are using virtual reality to simulate real-world scenarios for students to practice and hone their skills in a risk-free setting….Story continues

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Source: Colleges are using AI to prepare hospitality workers of the future

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AI Receptions leverages advanced technologies such as natural language processing (NLP), machine learning, and voice recognition to interact with customers, answer inquiries, and provide assistance. ‍ Unlike a human receptionist who is physically present at a front desk, an AI receptionist operates in a digital environment.

While AI isn’t likely to completely eliminate the need for human intervention at the front desk, it will potentially reduce the need for multiple receptionists. Smith.ai is renowned for its virtual receptionist services. It combines AI with real agents to provide a hybrid solution that ensures a personal touch. Smith.ai can answer calls, book appointments, and integrate with various CRM systems. Its pricing is flexible, making it ideal for startups and small teams.

A business owner can juggle multiple tasks, but answering every phone call in a timely manner may not be possible. A virtual receptionist service can take over when staff is too busy, and it can also step in after hours, during emergencies, or when there simply aren’t enough employees available.The estimated total pay for a Ai Engineer is ₹11,06,430 per year, with an average salary of ₹10,00,000 per year.

This number represents the median, which is the midpoint of the ranges from our proprietary Total Pay Estimate model and based on salaries collected from our users. The looming question for incoming students passionate about programming is often, “Will AI replace programmers?” The short answer is no. The future of programming is not a battle between humans and AI; but rather more of a collaboration.

Custom AI solutions in 2024 can range in cost from $6,000 to over $300,000, covering both development and implementation. Consulting typically comes at a lower cost and varies based on the consultant’s hourly rate, which usually falls between $200 and $350.A virtual receptionist is software that ensures that no customer call goes unanswered. Virtual receptionists field incoming calls and resolve basic customer needs.

These needs might include scheduling appointments, routing calls or providing account information. My AI Front Desk offers a 24/7 phone receptionist, ensuring businesses never miss a call again. This AI-powered service allows businesses to pick up the phone, schedule appointments, and answer questions even after business hours, providing seamless customer support around the clock.

Workload too large – Fielding calls from home or a remote office will sometimes backfire if the virtual receptionist gets behind on work, or is given too much responsibility.The role of a receptionist can be highly stressful, dealing with a continuous stream of requests and sometimes challenging interactions. A work-life balance is crucial for mitigating stress, which in turn can lead to greater job satisfaction and a more positive attitude that radiates to colleagues and visitors alike.

Virtual receptionist costs are a spectrum, varying greatly based on your desired service level and provider type. On the lower end, basic live answering services can start as low as $25 per month but often come with limited minutes and minimal features. This might be suitable for businesses with infrequent call volume.There are many ways to make money using AI. For example, beginners can use an AI content creator to produce blog posts and monetize them using platforms like Google Adsense.

On the other hand, experts can develop their own AI products and sell them or offer AI consulting services to larger companies. A computer science degree is a common choice since AI is a subdiscipline of computer science. But a data science degree, which also comes with AI skills, may be equally useful because it’s one of the most in-demand.

Pursue specialized AI certifications to showcase your proficiency in specific areas of artificial intelligence. By acquiring certifications tailored to niche topics within AI, you demonstrate a deep understanding and practical skills in those domains. Employers value candidates with specialized knowledge and expertise.The median AI Developer salary in the UK is £60,000 per year, according to job vacancies posted during the 6 months leading to 8 August 2024.

Start with a solid foundation in computer science and a strong grip on a programming language, preferably Python. Next, learn basic algorithms followed by machine learning and data science principles. Apply theoretical knowledge through AI projects. Websites like Kaggle and GitHub offer numerous projects for beginners.Jobs that involve data analysis, bookkeeping, and basic financial reporting are highly susceptible to automation.

These roles, which focus on repetitive administrative tasks, are prime candidates for AI-driven efficiency improvements. Consider jobs in creative industries where the value of human creativity is highest, such as writing, design, and the arts. Remote workers can improve their job security and maintain their value in an increasingly AI-influenced world by concentrating on these.

Alan Turing publishes his seminal work, “Computing Machinery and Intelligence,” and the term “artificial intelligence” is coined by John McCarthy. McCarthy also develops the popular programming language Lisp, which is used in AI research. AI-related roles like AI specialists, data scientists, machine learning engineers, and robotics engineers are becoming increasingly essential in various industries.

The impact of AI and learning to code. A question that we’re asked at least 20 times a week, “Will AI make tech and coding jobs redundant?” AI (Artificial Intelligence) – it’s not just coming, it’s arrived, and the comments and questions around “will AI make tech and coding jobs redundant?”. TL:DR – The answer is no…However, if you’re a nurse, we have good news for you: AI will not replace nursing; instead, it will help you perform your job better! Nursing care is highly complex, nuanced, intuitive, and emotional.

Use AI to Make Money by Creating and Selling AI-Powered Apps and Software. Consider developing and selling AI-powered apps and software. By creating AI applications that solve real-world problems or provide entertainment, you can tap into a lucrative market. Essential for developing AI applications, in demand across industries. 

In order to create and implement AI, businesses traditionally needed to hire data scientists, machine learning engineers, and software developers.Some of the key skills required to be a virtual receptionist include:

  1. Excellent communication skills, both written and verbal.
  2. Strong customer service skills and the ability to provide excellent customer support.
  3. Ability to multitask and manage multiple tasks at once.
  4. Good organisational skills and attention to detail.

In the United States, the average base salary for a data scientist is $123,775.A remote receptionist (or virtual receptionist) is like your in-house receptionist, they perform many of the same tasks, but they work remotely. They handle incoming calls, take messages, transfer calls, make outgoing calls, and more! They serve to solve the issues facing small businesses everywhere.

While AI isn’t likely to completely eliminate the need for human intervention at the front desk, it will potentially reduce the need for multiple receptionists. You can learn AI development on your own, thanks to the vast amount of resources available online. Start with foundational topics such as machine learning, data science, and computer science. Practically apply what you learn in AI projects, available on platforms like Kaggle….

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