Travel


How artificial intelligence is transforming business travel

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It's no secret that the travel industry has become digital-first over the last several years. In fact, research shows that 60 percent of leisure and about 40 percent of business travel transactions are now completed online. While most business travelers are required to use company-provided booking tools or resources, half of those still "go rogue" and purchase out-of-policy travel. Because corporate travel management tools too often present irrelevant inventory and, even when they do, a sub-par user experience drags out the time it takes to book. Combine pre- and post-travel pains with an on-the-road headache--delayed or canceled flights, last-minute changes in meetings that require a change in travel plans, and a lack of exercise and healthy meals--and we're looking at a sector of the industry that's ripe for innovation.


New chatbot provides smoother, unified travel planning - Springwise

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Spotted: Eddy Travels is an AI-enabled personal travel assistant that operates within popular chat applications, such as WhatsApp, Facebook Messenger, Viber, Slack and Telegram. Based on the user's chat conversations, Eddy uses a language processing system that makes tailored travel recommendations. This enables to unify all booking needs to one place, from flights to hotels. Eddy even recommends personalized activities. For example, if your friend mentions taking a trip to Tanzania, Eddy could recommend a safe area to stay in, accommodation, the best travel insurance, tours, etc.


New chatbot provides smoother, unified travel planning - Springwise

#artificialintelligence

Spotted: Eddy Travels is an AI-enabled personal travel assistant that operates within popular chat applications, such as WhatsApp, Facebook Messenger, Viber, Slack and Telegram. Based on the user's chat conversations, Eddy uses a language processing system that makes tailored travel recommendations. This enables to unify all booking needs to one place, from flights to hotels. Eddy even recommends personalized activities. For example, if your friend mentions taking a trip to Tanzania, Eddy could recommend a safe area to stay in, accommodation, the best travel insurance, tours, etc.


How Artificial Intelligence Will Change the Travel Industry

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Since I have a passion for travelling as well as the hospitality industry (having a bachelor in hospitality management), and I believe in the power of Artificial Intelligence (AI), for this week's article I decided to look into what happens when you combine the two. As it seems, Artificial Intelligence is set to be a game-changer for the travel industry. It is helping consumers and companies simplify making travel arrangements and streamlining business processes. AI is also modernising travel by taking it from a complicated, drawn-out experience to one that is more enhanced and customer-focused by improving the overall efficiency for hotels, airlines, and other travel providers. AI's impact on the travel industry is powerful and massive and it has the potential to transform business completely.


Cruise ship technology: six of the best - Cruise Trade News

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Despite common misconceptions, the cruise industry is at the forefront of the travel tech revolution. Here's our pick of the most ground-breaking cruise ship technology developments that are revolutionising the industry. Much has been made of efforts to reduce emissions and improve environmental performance in the cruise sector, but few have gone as far as Hurtigruten. The line recently unveiled Roald Amundsen, the first cruise ship to sail on battery power. Estimates say the ship's hybrid propulsion will reduce CO2 emissions by about 20 per cent.


Using Artificial Intelligence Optimally in Travel Marketing: 4 Examples from Leading Brands

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AI in tourism enables the all-important element of personalization to make customer journeys shorter, and more memorable. We share four examples of Artificial Intelligence (AI) and Machine Learning (ML) in the travel industry, with key takeaways for marketers to get started on implementation. The evolution of digital technologies has transformed customer expectations from every service provider. Whether it's in banking, healthcare, or even travel & tourism, your customers now want a Netflix-like customer experience (CX), no matter the touchpoint. This has also impacted the travel industry, which was quick to adapt and build tools for precisely that level of personalization.


The Use of AI in Car Rentals

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Avis projects to automate the most dreaded part of vehicle rentals: the inspection for car damages. Rather than having an employee spend time to ensure that the procedure goes smoothly, the car rental company intends to utilize artificial intelligence to replace the process. The pilot program would automatically detect maintenance issues and damage, removing the need for idle time. Collaborating with a startup, Ravin, Avis would integrate existing infrastructure to detect damages. CCTV cameras would complement one another to conduct a full scan, using machine learning to analyze the state of the vehicle.


5 Tips to create a Travel Chatbot

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The hype around Chatbots refuses to die down with talk of the town being the unlimited possibilities the Chatbot offers to the end users. Chatbots leverages Artificial Intelligence technology in aiding the firms in solving the myriad issues like prompt answering of visitor queries, engaging users, 24/7 availability among others. Chatbots are rising in its implementation but it's not a fad in passing, it's a crucial innovation. Chatbots simplify Travel plans for the travelers while streamlining business for the travel industry firms. Chatbots is a win-win situation for both- the end consumers who seek swift booking and the firms who would like to engage more visitors and drive revenues.


The Future of Financial Services Lies in the East--but Not Where (And Not Why) You Might Think

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Trips to other parts of Tokyo's technology centers helped round out the impression that Japan was becoming a major player--albeit quieter than its neighbors--within the global startup ecosystem. Visiting ZMP Inc. demonstrated the future of mobility, as this company is focused on the goal of being the "robot of everything" driving a more convenient lifestyle for everyone. This means level-four completely autonomous self-driving vehicles (a 2020 goal of Prime Minister Abe and Information Technology Minister Hirai), mass deployment of logistics robots (automated delivery) and focus on the needs of the country's aging society. Spending time with Shift Technology, I saw the well-demonstrated results of its partnership with the Tokyo Metropolitan Government to innovate within Japan's second largest insurance market by leveraging technology to make insurance claims more efficient. Peter Haslebacher of Shift said, "If you succeed in Japan, you can make it in any market", referring to the complexity and homogeneity found within the Japanese ecosystem--a great challenge for any ambitious startup.


Getting Started with Natural Language Processing: US Airline Sentiment Analysis

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Natural Language Processing (NLP) is a subfield of machine learning concerned with processing and analyzing natural language data, usually in the form of text or audio. Some common challenges within NLP include speech recognition, text generation, and sentiment analysis, while some high-profile products deploying NLP models include Apple's Siri, Amazon's Alexa, and many of the chatbots one might interact with online. To get started with NLP and introduce some of the core concepts in the field, we're going to build a model that tries to predict the sentiment (positive, neutral, or negative) of tweets relating to US Airlines, using the popular Twitter US Airline Sentiment dataset. Code snippets will be included in this post, but for fully reproducible notebooks and scripts, view all of the notebooks and scripts associated with this project on its Comet project page. Let's start by importing some libraries.