I would like to discuss how artificial intelligence (AI) may play a critical role in changing education, allowing individualized learning, and equipping both educators and students with cutting-edge skills to succeed in the digital era.
Embracing ChatGPT in Schools for Teaching
The incorporation of AI models has opened up a world of possibilities for improving teaching and learning experiences. Among these game-changing AI models, ChatGPT, a strong language model chatbot developed by OpenAI, stands out as a possible game-changer.

This huge language model has a wide range of features, including text production, language translation, creative content creation, and instructive question responding.

One significant feature of ChatGPT is its capacity to analyze large volumes of data, allowing for tailored education for pupils. Consider having a virtual tutor who creates individualized learning plans based on each student’s specific requirements and interests.

ChatGPT’s ability to create text that closely mimics human writing makes it an essential tool for giving students critical feedback. ChatGPT can assist students in evaluating their writing projects or problem-solving activities.

Teachers may use ChatGPT’s integration into the educational environment to create more dynamic and interesting classes, while students can obtain individualized help and insights tailored to their individual learning styles. The promise for a more accessible, efficient, and inclusive learning environment grows as the educational journey accepts AI help.

ChatGPT includes a variety of other possible educational benefits in addition to these aspects. It can, for example, be used to:

● Give kids access to educational materials that they would not otherwise have.
● Assist pupils in learning at their own speed.
● Make learning more dynamic and interesting.
● Allow instructors to focus on more vital duties by freeing up their time.

AI models like ChatGPT bring both intriguing opportunities and problems in the ever-changing educational landscape. While they have the potential to transform the way we teach and learn, there are some key issues to consider.

It is critical to ensure that these models are used ethically and fairly, since we must be aware of biases that may unwittingly impact educational outcomes.

Despite these obstacles, the transformational power of AI models in education cannot be underestimated. Students can benefit from a more efficient and successful learning experience by receiving tailored teaching and timely feedback.

These AI models can continually learn and adapt, resulting in a dynamic and engaging environment for both instructors and learners.

Here are some specific applications of ChatGPT in education:

1. ChatGPT may be used to develop personalized learning programs for each student based on their unique requirements and interests. Students may learn at their own speed and concentrate on the things that are most relevant to them.
2. ChatGPT can be used to provide students with feedback on their writing, problem-solving abilities, or other aspects of their work. This feedback may be personalized to each student’s specific needs and can assist pupils in improving their abilities over time.
3. ChatGPT may be used to generate text, translate languages, compose various types of creative material, and provide helpful answers to your inquiries. This may be a useful tool for students working on generative activities like writing essays or making presentations.
4. Access to resources, ChatGPT may be used to provide students access to educational materials that they might not have otherwise. Textbooks, essays, and videos are examples of resources.
5. Learning that is engaging and interactive, ChatGPT may be used to make learning more engaging and interactive. This may be accomplished by creating games, simulations, and other interactive learning experiences with ChatGPT.
6. ChatGPT may be used to free up instructors’ time so that they can concentrate on more vital duties. This involves responsibilities such as lesson preparation, grading work, and offering feedback to students.

ChatGPT and other AI models have the potential to transform education. These models can help students learn more effectively and quickly by offering tailored teaching, producing feedback, and learning over time. As AI technology advances, we should expect to see many more ways in which AI may be utilized to improve education.

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The travel and hospitality industry in India has been on a rise and has been one of the main factors of growth. AI, machine learning and big data analytics have brought a revolution in the travel and hospitality industry and made India one of the most digitally advanced traveller nations. Due to the rapid digitization, the travel and tourism sector contributed over $194 billion to GDP in 2019 alone which was 6.8% of the total economy.

In terms of travel and tourism, India also ranked 10th among 185 countries in the world. There are billions of transactions and booking of trips done on a daily basis by the travellers. The travel queries also grew by 53% in 2017 and are increasing rapidly. So, there is a huge amount of data that has to be handled to provide customer satisfaction, good customer experience and a lot more where the future of technologies like machine learning, AI and big data analytics play a very crucial role. 

Applications of AI, ML & Big Data Analytics

Fraud Detection

Payment fraud is the most popular type of fraud done by people in which scammers use stolen credit card to book or use for their own accommodation while some scammers claim the card to be stolen and ask for a chargeback. Keeping these situations in mind travel and hospitality industry have created a customized machine learning model and implemented AI technology to detect and predict fraud.

Intelligent Travel Assistant

AI has gained a rapid pace in various sectors of the industries as convenience is all that people ask for. The intelligent programming bots are trained in such a way to perform tasks on the basis of user’s request. More than 55% of the consumers like communicating with bots. Travel booking is just one of the fields wherein automated machine learning algorithms are used.

Customer Support

Apart from the hospitality sector, airlines too utilize the power of artificial intelligence to process customer support since most of the consumers demand for quick responses to their inquiries. Chat-bot and AI play a key role in customer service and support. This use of customer support not only helps businesses in brand loyalty to grow but also increases the business output and performance.

Forecasting of Flight Fare and Hotel Price

Meta search fields enable online travel agencies to work in a smart and efficient way by tracking down and sending alerts about the changing and varying hotel prices and flight fare to attract customers to book more trips. The online travel bookings hit $755 billion in 2019 and according to estimations more than 700 million people would adopt online hotel bookings by 2023. This programme uses machine learning algorithms to forecast the future price on the basis of factors such as demand growth, special offers, seasonal trends and many other deals.

Recommendation Engines

Online travel booking providers suggest the customers various options based on their recent searches and bookings while it also provides alternative destinations so that one can visit as their next trip. This automated recommendation is solely based on the customers data. Engaging in these engines increases sales, keep loyal customers coming back and also upsells.

Scopes of AI, ML & Big Data Analytics

The future scope of machine learning, AI and big data analysis depends on data from the past and the present to predict a better future. The offers can be presented to the individuals based on their preferences by analysing the data from various sources like weather, flight fares and much more. More than 71% of the travellers in India share their personal details for a personalized experience. So, the future of travel and hospitality is about the abilities to manage the data with a range of technologies like AI and machine learning for a transformative and memorable experience.

Impact on the Job Market 

Technological Challenges

The travel and hospitality sector have many sub-sectors consisting of a lot of complex data which creates an impact on the companies as they face challenges when it comes to establishing insights from the database. This creates a rise for data professionals in organisations as having them gives an assurance that the complex data is being used effectively with the use of data lending and cross departmental collaboration within the company.

Economic Impact

As travellers nowadays want more individual attention and do not wish to be treated as one of many as they want to experience the view pertaining to their own needs this creates a rise for millions of job opportunities to provide them with the customized experiences they prefer.

Fusion of skills

This industry demands a lot of soft skills but technological skills cannot be completely ignored as it plays a key role in the travel and hospitality industry. Job opportunities in this industry demand fusion of both the skills equally as it keeps the balance of traditional ways of working with the flow of emerging technological aspects.

The new and the future emerging technologies have a huge impact in the travel and hospitality sector because of its various applications and future scopes. In the coming years, the sector will surely flourish if the right fusions are created.

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Artificial Intelligence (AI), Machine Learning, 5G and Internet of Things (IoT) would be the most significant technologies in 2021, according to a new study by the Institute of Electrical and Electronics Engineers (IEEE).

The technical professional organisation released the results of a survey of Chief Information Officers (CIO) and Chief Technology Officers (CTO) in the US, the UK, China, India and Brazil. The survey was on the most key technologies for 2021, the impact of the COVID-19 pandemic on the speed of their technology adoption and the industries estimated to be most influenced by technology.

What does the data say?

On which would be the most vital technologies, nearly one-third of the total respondents (32 per cent) said AI and ML followed by 5G (20 per cent) and IoT (14 per cent), according to an IEEE statement.

Manufacturing (19 per cent), healthcare (18 per cent), financial services (15 per cent) and education (13 per cent) are the industries that most believe would be impacted by technology, according to the CIOs and CTOs surveyed.

At the same time, more than half (52 per cent) of CIOs and CTOs see their biggest challenge as dealing with aspects of COVID-19 recovery in relation to business operations.

These challenges include a permanent hybrid remote and office work structure (22 per cent), office and facilities re-openings and return (17 per cent), and managing permanent remote working (13 per cent). On the other hand, 11 per cent said the agility to stop and start IT initiatives as this unpredictable environment continues would be their biggest challenge.

Another 11 per cent cited online security threats, including those related to remote workers, as the biggest challenge they see. CIOs and CTOs surveyed have sped up adopting some technologies due to the pandemic. More than half (55 per cent) of respondents have accelerated adoption of cloud computing, 52 per cent have accelerated 5G adoption and 51 per cent have accelerated AI and ML.

The adoption of IoT (42 per cent), augmented and virtual reality (35 per cent) and video conferencing (35 per cent) technologies have also been accelerated due to the global pandemic. Compared to a year ago, CIOs and CTOs overwhelmingly (92 per cent) believe their company is better prepared to respond to a potentially catastrophic interruption such as a data breach or natural disaster.

Impact of the technologies

“What’s more, of those who say they are better prepared, 58 per cent strongly agree that COVID-19 accelerated their preparedness,” the statement said. Asked which technologies would have the greatest impact on global COVID-19 recovery, one in four (25 per cent) of those surveyed said AI and ML.

The top two concerns for CIOs and CTOs when it comes to the cyber-security of their organisation are security issues related to the mobile workforce including employees bringing their own devices to work (37 per cent) and ensuring the IoT is secure (35 per cent).

This is not surprising, since the number of connected devices such as smartphones, tablets, sensors, robots and drones is increasing dramatically. Slightly more than one-third (34 per cent) of CIO and CTO respondents said they can track and manage 26-50 per cent of devices connected to their business, while 20 per cent of those surveyed said they could track and manage 51-75 per cent of connected devices.

“The IEEE 2020 Global Survey of CIOs and CTOs” surveyed 350 CIOs or CTOs in the US, the UK, China, India and Brazil from September 21 – October 9, 2020, it was stated.

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With this unprecedented initiative, the institute is not only assuring a sanguine future for job seekers and executives but simultaneously, this programme will also help the industries to meet their future goals with smart and well-equipped talent. The Summer School is open for all; from students andfaculties to government officials and industry professionals who are looking for an opportunity to hone their skills.

The Summer School is also a golden opportunity for students and professionals interested in learning algorithms of ML and AI. The Summer School curriculum also focuses on three application domains: Computer Vision, Natural Language Processing, and Autonomous Driving/Robotics. Strategically, the institute has scheduled the Summer School on the weekends of July-August for the convenience of both students and working professionals;they can easily attend the classes without making any change in their routine activities.

Besides theory and practical exposure, participants will also get to interact with several skilled and seasoned professionals. Along with this, on successful completion of the programme, enrollees will be awarded a certificate from the Infosys, Center for Artificial Intelligence, and IIIT-D.

On the introduction of Summer School on Artificial Intelligence, Prof. Mayank Vatsa, Head of the Infosys Center for Artificial Intelligence at IIIT-Delhi said,

“It is the first time that the institute has come up with such an initiative. But with increasing focus on research and applications of AI in the industry, the existence of such schooling is becoming a necessity to preparethe youth for the virtual age ahead and make them adaptive to the competition at the global stage.”

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