Artificial Intelligence, Machine Learning And Big Data To Boost Efficiency In The Hotel Industry: Ken Research REQUEST FOR SAMPLE REPORT Buy Now Request For sample Report × Report Title Name Email Designation Phone No Comapny Name Comapny URL Country -- Please Select Your Country -- Afganistan Africa Albania Algeria Andorra Angola Anguilla Antigua and Barbuda Argentina Armenia Aruba Asia Australasia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bonaire Bosnia Herzegovina Botswana Brazil BRICS British Virgin Islands Brunei Darussalam Bulgaria Burkina Faso Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Central and South America Chad Chile China Colombia Comoros Congo Costa Rica Cote d'Ivoire Croatia Cuba Curacao Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Europe European Union Falkland Islands Faroe Islands Fiji Finland France French Guiana French Polynesia Gabon Gambia Georgia Germany Ghana Gibraltar Global Great Britain Greece Greenland Grenada Guadeloupe Guam Guatemala Guerney & Alderney Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Isle of Man Israel Italy Ivory Coast Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Kosovo Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Macao Macau Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Man (Island of) Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Micronesia Middle East Minnesota Moldova Monaco Mongolia Monserrat Montenegro Morocco Morroco Mozambique Myanmar Namibia Nepal Netherlands New Caledonia New Zealand Nicaragua Niger Nigeria Niue North America North Korea Norway Oman Pakistan Palau Palestine Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Reunion Romania Russia Rwanda Saint Helena Saint Lucia Saint Martin Saint Pierre and Miquelon Saint Vincent and the Grenadines Samoa Samoa (American) San Marino Sao Tome and Principe Saudi Arabia Scandinavia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten Slovakia Slovenia Solomon (Islands) Somalia South Africa South Korea South Sudan Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Islands Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Timor Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Uganda Ukraine United Arab Emirates United Kingdom United States Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Virgin Islands Western Sahara Yemen Zambia Zimbabwe Requirement Submit Machine learning is the study of computer systems that learn from data and experience. It collects and computes large amount of complex &disparate data, without human interventions and convert it into a more convenient size & easily understood format. Machine learning includes applications computer vision, spam filtering, stock market analysis, computational finance, information retrieval, recommendation systems, speech recognition, medical diagnosis and structural health monitoring. According to study, “Case Study: Machine learning in the hotel industry – How can artificial intelligence, machine learning, and Big Data boost efficiency in the industry?” some of the major companies that are currently working in machine learning are Amazon, Apple,Ayasdi, Digital Reasoning, Darktrace, Dataiku, Facebook, Feedzai,Google, IBM Watson, Luminoso, N-iX, QBurst, Qualcomm, Skytree, Uber. It is useful in hotel industry by forecasting room demand and trade rate. In hotel industry, it is also often used in conjunction with statistical methods to produce cutting-edge forecasting and decision optimization. Artificial intelligence (AI) is the theory and development of computer systems. It is capable in performing tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. It also plays an important role in the hotel industry due its ability to carry out systematic process quite easily. It assists in machine learning and provides ability to think. It enables machines to recognize patterns, and to do most of the currently planned work. AI uses internet of things (IOT) and sensors for identifying an arriving guest’s smart phone by hotel’s Wi-Fi networks. IoT system assists the management staff for quick, frictionless check-in and permit auto-unlocking of the door when anybody stand in from of the door.IOT and sensors help hotel staff and guests to regulate the light intensity, temperature of the room which can be adjusted as per their determined preferences. AI allows hotels implement better processes, problem solving, anticipating needs, and know-how about the traveler pattern and choice. AI also understands smart systems which are programmed to create fake conversation through natural language processing and natural language generation in native language to enable controlled, succinct, and efficient interactions between individuals and the computing machines. Big data is extremely useful for a large data set that describes the collection of information from offline and online sources to support the ongoing development and operations of a company and the organization. The hotels utilize data to offer personalized experience to customers starting from suggesting local restaurants to finding a price point. There are many ways to apply big data in hospitality industry such as identifying strength and weaknesses, improving occupancy rates using big data, gaining a deeper understanding of customer needs and time & location specific marketing campaigns etc. There are three methods for applying big data in hotel industry, which are; descriptive analytics, predictive analytics and prescriptive analytics. Nowadays travelers are booking their holidays online. There are some hotels which utilizing AI and machine learning in their rooms such as hyatt, Radisson, henn na, eccleston square hotel, the hotel silken puerta America etc. The major travels player, such as TripAdvisor, Trivago, and Google using artificial intelligence in order to display the most relevant results for each user in a timely manner. It will also enhance relevant suggestions, visual search, and caching to present the customer with the right results at the right time. To know more, click on the link below:- https://www.kenresearch.com/media-and-entertainment/tourism/machine-learning-hotel-industry/150629-94.html Related Reports:- https://www.kenresearch.com/media-and-entertainment/tourism/tourism-case-study-hiltons/160772-94.html Contact Us:- Ken Research Ankur Gupta, Head Marketing & Communications Sales@kenresearch.com +91-9015378249 Post Views: 3 Tags: Hotel Machine learning Market Analysis, Hotel Machine learning Market Competition, Hotel Machine learning Market Competitive Analysis, Hotel Machine learning Market Forecast, Hotel Machine learning Market Future Outlook, Hotel Machine learning Market Growth Analysis, Hotel Machine learning Market Opportunities, Hotel Machine learning Market Overview, Hotel Machine learning Market Research Report, Hotel Machine learning Market Revenue, Hotel Machine learning Market Segmentation, Hotel Machine learning Market Shares, Hotel Machine learning Market Size, Hotel Machine learning Market Statistics, Hotel Machine learning Market Trends, Hotel Machine learning Market Value, Marché d'apprentissage automatique, Otel Makine öğrenim Pazarı, Готель Машинознавчий ринок, فندق آلة التعلم السوق, ตลาดการเรียนรู้เครื่องจักรโรงแรม, 酒店机器学习市场, 호텔 기계 학습 시장