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Planning travel in the age of machine learning
ML has many use cases in the travel industry. It is significantly changing the way people do travel bookings. Based on datasets like airline data, frequent flyer data, social media data and other third party data, ML is powering applications like chatbots, recommender systems, flight price predictions, content curation, sales optimization, dynamic pricing, fraud detection, etc.
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How AI Will Disrupt the Travel Industry
The often-misunderstood technology has the potential to revolutionize all sectors of the travel industry. The keys to success will be understanding the right way to deploy AI — and seizing the new markets it can unlock. Hear from L.E.K. Consulting’s Dan McKone and Alan Lewis on three major trends to watch that are key to understanding the right way to deploy AI. Read more: www.lek.com/AI-travel
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The Future Of Travel Technology - Gillian Tans + Michal Lev-Ram
Gillian Tans, CEO of Booking.com teaches us today how to attract top talent and build the true future of travel. Gillian Tans, CEO, Booking.com // Michal Lev-Ram, Senior Writer, Fortune
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Machine Learning and Artificial Intelligence in Travel
HSMAI Digital Marketing Strategy Conference 2018 presentation by Dustin Bomar, Head of Industry, Travel, Google. HSMAI is pleased to present here 9 videos from select sessions at our 2018 Digital Marketing Strategy Conference. These videos are available for viewing free for HSMAI members and $59 for non-members. This series is sponsored by STR and Hotel News Now.
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How Travel Intelligence is Shaping the Future of Travel
Pascal Clement, Head of Travel Intelligence Business Unit talks about the opportunities big data analytics hold and the future of travel intelligence. For more stories visit shapethefutureoftravel.com
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July 2017 TravelTechTO Panel - Machine Learning & AI in Travel
In this panel, top tech executives with expertise in travel from IBM, MobyTrip and the Travel Corporation share their perspectives of how Machine Learning and AI is currently being applied in the travel industry.For videos of more presentations, visit:
http://www.youtube.com/c/techtorontoorg
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SMART TOURISM : Big data, artificial intelligence and robotics revolutions
Smart Tourism session puts in agenda the main trends and challenges of smart tourism as well as discussion of research result on Smart Tourism conducted by Bournemouth University eTourism Lab. The session will be chaired by Professor Dimitrios Buhalis Director of eTourism Lab Bournemouth University. Smartness takes advantage of technology to process data in real time to produce services and products which are of value for all involved. Smart Tourism Destinations successfully implement smartness to improve the competitiveness of their destination and enhance the social, economic and environmental prosperity. Big data, artificial intelligence and robotics will propel a revolution in the tourism industry. Through using technology to ensure people are interconnected, processes can be designed to generate value to all stakeholders involved. This interactive session will discuss the principles of smartness and how they can be applied in a real life context. The session will bring together academic research and professional practice to explore how smart tourism will enable tourism destinations to take advantage of the emergent technologies.
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How Artificial Intelligence will impact the Future of Tourism
Organized by the World Tourism Organization, the Ministry of Energy, Tourism and the Digital Agenda of Spain and the Government of the Principality of Asturias, the II UNWTO World Conference on Smart Destinations, will be held in Oviedo (Asturias, Spain) from the 25th – 27th of June 2018. The objective of the Congress has been to lead and shape new tourism models for the 21st century based on innovation, technology, sustainability, governance and accessibility, components of the Smart Tourist Destinations. Over the past years, advances in technology have led to the invisible ubiquity of Artificial Intelligence without most people even noticing. Although machine learning is already the backbone of many tourism-relevant apps and services, the most visible manifestation of AI in tourism have been virtual assistants. This last Smart Talk of the #SDWC2018 offer the opportunity for participants to get the latest insights on how AI will impact the future of tourism.
o Greg Land, Executive Director & Global Industry Leadre, Aviation, Hospitality & Travel Related Services at IBM
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The Rise of the Machines - How AI and Machine Learning affect travel retailing
Andy Owen-Jones explains, how Artificial Intelligence and Machine Learning will affect travel retailing. Filmed on the fvw Travel Technology Day 2017.
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Machine learning & AI to transform Travel Industry
Cognixia provides online training in top emerging Information Technologies which includes Big Data and Hadoop, Cloud Computing with AWS, AI and Machine Learning, Tableau, Python, Angularjs, Data Science, Microsoft Azure (70-533), Internet of Things IoT, and many other certification courses for student, individual, and professionals to stay ahead in their career path.
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he Rise Of Artificial Intelligence In Travel
Artificial Intelligence (AI) is all around us. Countless applications are deploying techniques such as Machine Learning and Natural Language Processing to improve the performance of their travel solutions. Will AI augment human intelligence or replace it? How will AI improve the travel experience for all everyone? This session reviews various AI techniques with presentations from several travel solution providers using AI today. A panel discussion hosted by Philip Wolf, former CEO and Founder of Phocuswright, concludes the session with a focus on the long term impact of AI on the travel industry.
13:30-13:50 Presentation:
Norm Rose, President, Senior Technology and Corporate Market Analyst, Travel Tech Consulting, Phocuswright Inc.
13:50-14:10 Interview:
Norm Rose, President, Senior Technology and Corporate Market Analyst, Travel Tech Consulting, Phocuswright Inc.
Philip C. Wolf, Founder, PhoCusWright, Serial Board Director
14:10-14:45 Panel discussion:
Thomas Houriez, Co-founder & VP Marketing, Sépage S.A.S.
David Low, Developer Advocate, Skyscanner
Dave O'Flanagan, CEO, Boxever
Norm Rose, President, Senior Technology and Corporate Market Analyst, Travel Tech Consulting, Phocuswright Inc.
Philip C. Wolf, Founder, PhoCusWright, Serial Board Director
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Future of Travel Industry, hotels, business - travel industry keynote speaker - ATH / Amex event
Keynote on future travel industry trends for American Express / ATH in Moscow, by Patrick Dixon, conference speaker. Future of hotels, airlines and travel agents -- innovation in the travel industry. Future of business travel and leisure travel. Travel industry continues to be vulnerable to major shocks -- politically, global economy, environment or other factors ranging from volcanic eruptions to the Arab Spring. Strategies of travel companies and global corporations are being overtaken by events. Impact of energy prices on future of aviation and global travel. Expect spectacular growth of aviation and rail travel in emerging economies such as China and India. The irresistible human desire to travel, explore, and gain new experiences will underpin consistent global growth in travel and tourism, despite new carbon and aviation taxes. Globalisation will also continue to force executives to sacrifice home life for travel, despite growth of teleworking and virtual teams. Business travel will grow every year over the next 20-30 years, powered by growth in emerging markets, while travel within the EU and the US will remain relatively static. Russia internal and international air travel will also grow rapidly. Asia will represent more than 40% of the global economy in Purchasing Power Parity by 2015. China travel bookings are already worth more than $100bn a year of which $15bn was booked online in 2012 -- up 500% on 2008 figures.
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Prediction & Planning
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Forecasting airline passengers using designer machine learning - Alexander Backus, Jan van der Vegt
The ability to accurately forecast the amount of passengers that will board a particular flight is crucial for airline operations. But how do we design a machine learning algorithm for this use case and in what ways can we improve it? In this talk, we start with a simple linear model, evolving to increasingly complex deep learning neural network architectures. www.pydata.org
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Implementation Of Flight Fare Prediction Web App Project With Deployment
Jul 5, 2020 Krish Naik
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How Kayak Is Using AI for Travel Planning
Jul.28 -- Steve Hafner, Kayak's chief executive officer and co-founder, discusses the company's partnerships and artificial intelligence's impact on the travel industry. He speaks with Bloomberg's Emily Chang on "Bloomberg Technology."
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HotelTonight: Democratizing Data to Predict Customer Demand
Jonathan Geggatt, Data Engineering Manager at HotelTonight, the popular last-minute hotel booking app shares how the company benefited from making data available as fast as possible to everyone in the company with Snowflake.
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Highways and Roads Portfolio Planning, Scheduling and Prioritizing 1 of 4
Projects prioritizing in public sector, I am providing 4 videos (please check our YT channel below) with examples on planning for government projects from early initiation stage to construction. This method is applicable to developers in private sector to ascertain extend. There will be four videos. I used project portfolio management prioritizing methods for highways as example. It could be any type of projects, however, there are differences on how we think about it. Highways are good examples because you can initiate the planning form good detailed terrains Ariel maps which give us the visualization to put our data on it to start the initial planning.
The first video discuss how to plan the highways prioritizing using the statistics data and location map on the initial stage. After that, pre-feasibility, design and construction stages. It discuss only, here what we can suggest to the consultants and contractors to study, design and build as part of writing TOR scope before starting the projects. It is client side analysis. After that, full studies to choose the right option and estimate of cost will be conducted. To finalize the options priority, we evaluate its cost and construction schedules to prioritize the projects.
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Autonomous Bag
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Top 10 Coolest Futuristic Smart Suitcases
Traveling without a Smart Suitcase can be full of hassle. Smart suitcases offer more advantages and functionality than traditional suitcases and make our trip convenient. In this video we are going to talk about Top 10 Coolest Futuristic Smart Suitcases that you can have to make your trip convenient. Our New Tech Channel Please Support: https://bit.ly/2Yftc8D
Best smart luggage List: Airwheel SE3 smart riding luggage, FowardX, Travelmate Robotics suitcase, MC Pulse, Samsara, PLEVO, Incase ProConnected Carry, FUGU LUGGAGE, DELSEY PLUGGAGE, Bluesmart
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How does Artificial Intelligence make the autonomous bag follow you around?
Next to join the list of all the smart devices in our lives are bags. With the use of artificial intelligence, the bags of yesterday that held your belongings together are being transformed into smart bags that can do much more. They can follow you around in airports, avoid bumping into hurdles allowing you the freedom from all the hauling, dragging and struggling with bulky trolleys. It is not just a bag anymore, it’s a robot with AI! In this webinar, we will demystify the science behind this technological marvel and the artificial intelligence trends that will drive the future of baggage industry. Here's what you will learn: Overview of Artificial Intelligence and Machine Learning industry, Case studies on apps that leverage Artificial Intelligence, AI trends that are shaping the future of the baggage industry, and the skills you need for a career in Artificial Intelligence
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Autonomous Flight
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The Future of Flight: AI in the Cockpit | Moving Upstream
AI-empowered systems may soon allow autonomous flying machines to reduce the number of pilots and soldiers working in high-risk environments. Could these flying robots also be firing weapons? WSJ’s Jason Bellini reports.
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AI in the Cockpit
AI being introduced into the cockpit. Aviation Analyst, Pilot and entrepreneur Fabrizio Poli gives you his analysis on what's coming next... To contact Fabrizio: fab@orvilleaviation.com
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Aviation Industry
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Machine Learning in the Airline Industry
Judy Pastor recently retired from her dual positions as Chief Data Scientist and Manager of Data Mining at American Airlines. In these roles, she led the charge to develop and utilize diverse data sources to better understand customer behavior and to model operational complexities using Machine Learning. In this presentation, Judy will cover application areas for Machine Learning In the airline and travel space and how it can augment traditional optimization models. She will also discuss taking a model from an idea to incorporation into a business process. Judy holds a BS, Computer Science, from the University of Pittsburgh and an MS, Operations Research, from Stanford.
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AI and Data Science in Aviation Industry: 5 Real-life Use Cases
Are you ready to fly without a human pilot? AI isn't here for aircraft flight control, but data science and machine learning are already used to automate or speed up operations. We’ve chosen five real-life use cases that don’t aggravate your aerophobia with AI-phobia:Revenue Management, In-flight sales and food supply, Fuel consumption optimization, Boarding and checking bags with facial recognition, Preparing a plane for the next flight
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ays Artificial Intelligence Will Help Rebuild the Aviation Industry - Neil Sahota
How can we use AI to take aviation forward and shape the future? Neil Sahota, author of Own the AI Revolution, returns to the show to share how to rebuild the aviation industry. Three Things You’ll Learn In This Episode - New metrics that will precisely target flying airline customer - Use AI to find our customers’ ‘why’. If we know why people were choosing to fly before the pandemic, we’ll be more likely to find ways to win them back. - How to change mindsets to reshape the industry Neil Sahota is a United Nations Artificial Intelligence subject matter expert, IBM Master Inventor and Professor at UC Irvine.
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BCG and KLM Bring AI to Life in Airline Operations
Through our unique and globally leading partnership, BCG strategists, BCG Gamma data scientists, and KLM operations experts collaborate to offer solutions that turn airline operations into competitive advantage.
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