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Applications of artificial intelligenceFrom Wikipedia, the free encyclopediaJump to navigationJump to searchThis article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed.(March 2016)(Learn how and when to remove this template message)Artificial intelligenceMajor goalsKnowledge reasoningPlanningMachine learningNatural language processingComputer visionRoboticsArtificial general intelligenceApproachesSymbolicDeep learningBayesian networksEvolutionary algorithmsPhilosophyEthicsExistential riskTuring testChinese roomFriendly AIHistoryTimelineProgressAI winterTechnologyApplicationsProjectsProgramming languagesGlossaryGlossaryvteArtificial intelligence, defined as intelligence exhibited by machines, has many applications in today's society. More specifically, it is Weak AI, the form of A.I. where programs are developed to perform specific tasks, that is being utilized for a wide range of activities including medical diagnosis, electronic trading, robot control, and remote sensing. AI has been used to develop and advance numerous fields and industries, including finance, healthcare, education, transportation, and more.Contents1AI for Good2Aviation3Computer science4Education5Finance5.1Algorithmic trading5.2Market analysis and data mining5.3Personal finance5.4Portfolio management5.5Underwriting6Job Search7Heavy industry8Hospitals and medicine9Human resources and recruiting10Marketing11Media12Music13News, publishing and writing14Online and telephone customer service15Sensors16Telecommunications maintenance17Toys and games18Transportation19Other20List of applications21See also22Notes23References24External linksAI for Good[edit]AI for Good is a movement in which institutions are employing AI to tackle some of the world's greatest economic and social challenges. For example, the University of Southern California launched the Center for Artificial Intelligence in Society, with the goal of using AI to address socially relevant problems such as homelessness. At Stanford, researchers are using AI to analyze satellite images to identify which areas have the highest poverty levels.[1]Aviation[edit]This section needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed.(November 2016)(Learn how and when to remove this template message)The Air Operations Division (AOD) uses AI for the rule based expert systems. The AOD has use for artificial intelligence for surrogate operators for combat and training simulators, mission management aids, support systems for tactical decision making, and post processing of the simulator data into symbolic summaries.[2]The use of artificial intelligence in simulators is proving to be very useful for the AOD. Airplane simulators are using artificial intelligence in order to process the data taken from simulated flights. Other than simulated flying, there is also simulated aircraft warfare. The computers are able to come up with the best success scenarios in these situations. The computers can also create strategies based on the placement, size, speed and strength of the forces and counter forces. Pilots may be given assistance in the air during combat by computers. The artificial intelligent programs can sort the information and provide the pilot with the best possible maneuvers, not to mention getting rid of certain maneuvers that would be impossible for a human being to perform. Multiple aircraft are needed to get good approximations for some calculations so computer simulated pilots are used to gather data.[3]These computer simulated pilots are also used to train future air traffic controllers.The system used by the AOD in order to measure performance was the Interactive Fault Diagnosis and Isolation System, or IFDIS. It is a rule based expert system put together by collecting information from TF-30 documents and the expert advice from mechanics that work on the TF-30. This system was designed to be used for the development of the TF-30 for the RAAF F-111C. The performance system was also used to replace specialized workers. The system allowed the regular workers to communicate with the system and avoid mistakes, miscalculations, or having to speak to one of the specialized workers.The AOD also uses artificial intelligence in speech recognition software. The air traffic controllers are giving directions to the artificial pilots and the AOD wants to the pilots to respond to the ATC's with simple responses. The programs that incorporate the speech software must be trained, which means they use neural networks. The program used, the Verbex 7000, is still a very early program that has plenty of room for improvement. The improvements are imperative because ATCs use very specific dialog and the software needs to be able to communicate correctly and promptly every time.The Artificial Intelligence supported Design of Aircraft,[4]or AIDA, is used to help designers in the process of creating conceptual designs of aircraft. This program allows the designers to focus more on the design itself and less on the design process. The software also allows the user to focus less on the software tools. The AIDA uses rule based systems to compute its data. This is a diagram of the arrangement of the AIDA modules. Although simple, the program is proving effective.In 2003, NASA's Dryden Flight Research Center, and many other companies, created software that could enable a damaged aircraft to continue flight until a safe landing zone can be reached.[5]The software compensates for all the damaged components by relying on the undamaged components. The neural network used in the software proved to be effective and marked a triumph for artificial intelligence.The Integrated Vehicle Health Management system, also used by NASA, on board an aircraft must process and interpret data taken from the various sensors on the aircraft. The system needs to be able to determine the structural integrity of the aircraft. The system also needs to implement protocols in case of any damage taken the vehicle.[6]Haitham Baomar and Peter Bentley are leading a team from the University College of London to develop an artificial intelligence based Intelligent Autopilot System (IAS) designed to teach an autopilot system to behave like a highly experienced pilot who is faced with an emergency situation such as severe weather, turbulence, or system failure.[7]Educating the autopilot relies on the concept of supervised machine learning “which treats the young autopilot as a human apprentice going to a flying school”.[7]The autopilot records the actions of the human pilot generating learning models using artificial neural networks.[7]The autopilot is then given full control and observed by the pilot as it executes the training exercise.[7]The Intelligent Autopilot System combines the principles of Apprenticeship Learning and Behavioral Cloning whereby the autopilot observes the low-level actions required to maneuver the airplane and high-level strategy used to apply those actions.[8]IAS implementation employs three phases; pilot data collection, training, and autonomous control.[8]Baomar and Bentley’s goal is to create a more autonomous autopilot to assist pilots in responding to emergency situations.[8]Computer science[edit]AI researchers have created many tools to solve the most difficult problems in computer science. Many of their inventions have been adopted by mainstream computer science and are no longer considered a part of AI. (See AI effect.) According to Russell & Norvig (2003, p. 15), all of the following were originally developed in AI laboratories: time sharing,interactive interpreters, graphical user interfaces and the computer mouse, rapid development environments, the linked list data structure, automatic storage management, symbolic programming, functional programming, dynamic programming and object-oriented programming.AI can be used to potentially determine the developer of anonymous binaries.[citation needed]AI can be used to create other AI. For example, around November 2017, Google's AutoML project to evolve new neural net topologies created NASNet, a system optimized for ImageNet and COCO. According to Google, NASNet's performance exceeded all previously published ImageNet performance.[9]Education[edit]There are a number of companies that create robots to teach subjects to children ranging from biology to computer science, though such tools have not become widespread yet. There have also been a rise of intelligent tutoring systems, or ITS, in higher education. For example, an ITS called SHERLOCK teaches Air Force technicians to diagnose electrical systems problems in aircraft. Another example is DARPA, Defense Advanced Research Projects Agency, which used AI to develop a digital tutor to train its Navy recruits in technical skills in a shorter amount of time.[1]Universities have been slow in adopting AI technologies due to either a lack of funding or skepticism of the effectiveness of these tools, but in the coming years more classrooms will be utilizing technologies such as ITS to complement teachers.Advancements in natural language processing, combined with machine learning, have also enabled automatic grading of assignments as well as a data-driven understanding of individual students’ learning needs. This led to an explosion in popularity of MOOCs, or Massive Open Online Courses, which allows students from around the world to take classes online. Data sets collected from these large scale online learning systems have also enabled learning analytics, which will be used to improve the quality of learning at scale. Examples of how learning analytics can be used to improve the quality of learning include predicting which students are at risk of failure and analyzing student engagement.[10]Finance[edit]Algorithmic trading[edit]Algorithmic trading involves the use of complex AI systems to make trading decisions at speeds several orders of magnitudes greater than any human is capable of, often making millions of trades in a day without any human intervention. Automated trading systems are typically used by large institutional investors.[11]Market analysis and data mining[edit]Several large financial institutions have invested in AI engines to assist with their investment practices. BlackRock’s AI engine, Aladdin, is used both within the company and to clients to help with investment decisions. Its wide range of functionalities includes the use of natural language processing to read text such as news, broker reports, and social media feeds. It then gauges the sentiment on the companies mentioned and assigns a score. Banks such as UBS and Deutsche Bank use an AI engine called Sqreem (Sequential Quantum Reduction and Extraction Model) which can mine data to develop consumer profiles and match them with the wealth management products they’d most likely want.[12]Goldman Sachs uses Kensho, a market analytics platform that combines statistical computing with big data and natural language processing. Its machine learning systems mine through hoards of data on the web and assess correlations between world events and their impact on asset prices.[13]Information Extraction, part of artificial intelligence, is used to extract information from live news feed and to assist with investment decisions.[14]Personal finance[edit]Several products are emerging that utilize AI to assist people with their personal finances. For example, Digit is an app powered by artificial intelligence that automatically helps consumers optimize their spending and savings based on their own personal habits and goals. The app can analyze factors such as monthly income, current balance, and spending habits, then make its own decisions and transfer money to the savings account.[15]wallet.AI, an upcoming startup in San Francisco, builds agents that analyze data that a consumer would leave behind, from Smartphone check-ins to tweets, to inform the consumer about their spending behavior.[16]Portfolio management[edit]Robo-advisors are becoming more widely used in the investment management industry. Robo-advisors provide financial advice and portfolio management with minimal human intervention. This class of financial advisers work based on algorithms built to automatically develop a financial portfolio according to the investment goals and risk tolerance of the clients. It can adjust to real-time changes in the market and accordingly calibrate the portfolio.[17]Underwriting[edit]An online lender, Upstart, analyze vast amounts of consumer data and utilizes machine learning algorithms to develop credit risk models that predict a consumer’s likelihood of default. Their technology will be licensed to banks for them to leverage for their underwriting processes as well.[18]ZestFinance developed their Zest Automated Machine Learning (ZAML) Platform specifically for credit underwriting as well. This platform utilizes machine learning to analyze tens of thousands traditional and nontraditional variables (from purchase transactions to how a customer fills out a form) used in the credit industry to score borrowers. The platform is particularly useful to assign credit scores to those with limited credit histories, such as millennials.[19]Job Search[edit]The job market has seen a notable change due to Artificial intelligence implementation. It has simplified the process for both recruiters and job seekers (i.e., Google for Jobs and applying online). According to Raj Mukherjee from Job Search | Indeed, 65% of people launch a job search again within 91 days of being hired. AI-powered engine streamlines the complexity of job hunting by operating information on job skills, salaries, and user tendencies, matching people to the most relevant positions. Machine intelligence calculates what wages would be appropriate for a particular job, pulls and highlights resume information for recruiters using natural language processing, which extracts relevant words and phrases from text using specialized software. Another application is an AI resume builder which requires 5 minutes to compile a CV as opposed to spending hours doing the same job. In the AI age chatbots assist website visitors and solve daily workflows. Revolutionary AI tools complement people’s skills and allow HR managers to focus on tasks of higher priority. However, Artificial Intelligence impact on jobs research suggests that by 2030 intelligent agents and robots can eliminate 30% of the world’s human labor. Moreover, the research proves automation will displace between 400 and 800 million employees. Glassdoor`s research report states that recruiting and HR are expected to see much broader adoption of AI in job market 2018 and beyond.[20][21][22]Heavy industry[edit]Robots have become common in many industries and are often given jobs that are considered dangerous to humans. Robots have proven effective in jobs that are very repetitive which may lead to mistakes or accidents due to a lapse in concentration and other jobs which humans may find degrading.In 2014, China, Japan, the United States, the Republic of Korea and Germany together amounted to 70% of the total sales volume of robots. In the automotive industry, a sector with particularly high degree of automation, Japan had the highest density of industrial robots in the world: 1,414 per 10,000 employees.[23]Hospitals and medicine[edit]X-ray of a hand, with automatic calculation of bone age by a computer software.Main article: Artificial intelligence in healthcareArtificial neural networks are used as clinical decision support systems for medical diagnosis, such as in Concept Processing technology in EMR software.Other tasks in medicine that can potentially be performed by artificial intelligence and are beginning to be developed include:Computer-aided interpretation of medical images. Such systems help scan digital images, e.g. from computed tomography, for typical appearances and to highlight conspicuous sections, such as possible diseases. A typical application is the detection of a tumor.Heart sound analysis[24]Companion robots for the care of the elderly[25]Mining medical records to provide more useful information.Design treatment plans.Assist in repetitive jobs including medication management.Provide consultations.Drug creation[26]Using avatars in place of patients for clinical training[27]Predict the likelihood of death from surgical proceduresPredict HIV progressionCurrently, there are over 90 AI startups in the health industry working in these fields.[28]IDx's first solution, IDx-DR, is the first autonomous AI-based diagnostic system authorized for commercialization by the FDA.[29]Human resources and recruiting[edit]Another application of AI is in the human resources and recruiting space. There are three ways AI is being used by human resources and recruiting professionals. AI is used to screen resumes and rank candidates according to their level of qualification. Ai is also used to predict candidate success in given roles through job matching platforms. And now, AI is rolling out recruiting chat bots that can automate repetitive communication tasks.Typically, resume screening involves a recruiter or other HR professional scanning through a database of resumes. Now startups like Pomato, are creating machine learning algorithms to automate resume screening processes. Pomato’s resume screening AI focuses on automating validating technical applicants for technical staffing firms. Pomato’ s AI performs over 200,000 computations on each resume in seconds then designs a custom technical interview based on the mined skills. KE Solutions, founded in 2014, has developed recommendation systems to rank jobs for candidates, and rank resumes for employers. Find you dream job, developed by KE Solutions uses concept-based search has increased accuracy by 80% compared to traditional ATS. It helps recruiters to overcome technical barriers.From 2016 to 2017, consumer goods company Unilever used artificial intelligence to screen all entry level employees. Unilever’s AI used neuroscience based games, recorded interviews, and facial/speech analysis to predict hiring success. Unilever partnered with Pymetrics and HireVue to enable its novel AI based screening and increased their applicants from 15,000 to 30,000 in a single year. Recruiting with AI also produced Unililever’s “most diverse class to date.’ Unilever also decreased time to hire from 4 months to 4 weeks and saved over 50,000 hours of recruiter time.From resume screening to neuroscience, speech recognition, and facial analysis...it’s clear AI is having a massive impact on the human resources field. Yet another development in AI is in recruiting chatbots. TextRecruit, a Bay Area startup, released Ari (automated recruiting interface.) Ari is a recruiting chatbot that is designed to hold two-way text message conversations with candidates. Ari automates posting jobs, advertising openings, screening candidates, scheduling interviews, and nurturing candidate relationships with updates as they progress along the hiring funnel. Ari is currently offered as part of TextRecruit’s candidate engagement platform.Marketing[edit]Main article: Marketing and artificial intelligenceMedia[edit]Some AI applications are geared towards the analysis of audiovisual media content such as movies, TV programs, advertisement videos or user-generated content. The solutions often involve computer vision, which is a major application area of AI.Typical use case scenarios include the analysis of images using object recognition or face recognition techniques, or the analysis of video for recognizing relevant scenes, objects or faces. The motivation for using AI-based media analysis can be — among other things — the facilitation of media search, the creation of a set of descriptive keywords for a media item, media content policy monitoring (such as verifying the suitability of content for a particular TV viewing time), speech to text for archival or other purposes, and the detection of logos, products or celebrity faces for the placement of relevant advertisements.Media analysis AI companies often provide their services over a REST API that enables machine-based automatic access to the technology and allows machine-reading of the results. For example, IBM, Microsoft, Amazon and the video AI company Valossa[30]allow access to their media recognition technology by using RESTful APIs.Music[edit]Main article: Music and artificial intelligenceWhile the evolution of music has always been affected by technology, artificial intelligence has enabled, through scientific advances, to emulate, at some extent, human-like composition.Among notable early efforts, David Cope created an AI called Emily Howell that managed to become well known in the field of Algorithmic Computer Music.[31]The algorithm behind Emily Howell is registered as a US patent.[32]The AI Iamus created 2012 the first complete classical album fully composed by a computer.Other endeavours, like AIVA (Artificial Intelligence Virtual Artist), focus on composing symphonic music, mainly classical music for film scores.[33]It achieved a world first by becoming the first virtual composer to be recognized by a musical professional association.[34]Artificial intelligences can even produce music usable in a medical setting, with Melomics’s effort to use computer-generated music for stress and pain relief.[35]Moreover, initiatives such as Google Magenta, conducted by the Google Brain team, want to find out if an artificial intelligence can be capable of creating compelling art.[36]At Sony CSL Research Laboratory, their Flow Machines software has created pop songs by learning music styles from a huge database of songs. By analyzing unique combinations of styles and optimizing techniques, it can compose in any style.Another artificial intelligence musical composition project, The Watson Beat, written by IBM Research, doesn't need a huge database of music like the Google Magenta and Flow Machines projects, since it uses Reinforcement Learning and Deep Belief Networks to compose music on a simple seed input melody and a select style. Since the software has been open sourced[37]musicians, such as Taryn Southern[38]have been collaborating with the project to create music.News, publishing and writing[edit]The company Narrative Science makes computer generated news and reports commercially available, including summarizing team sporting events based on statistical data from the game in English. It also creates financial reports and real estate analyses.[39]Similarly, the company Automated Insights generates personalized recaps and previews for Yahoo Sports Fantasy Football.[40]The company is projected to generate one billion stories in 2014, up from 350 million in 2013.[41]Echobox is a software company that helps publishers increase traffic by 'intelligently' posting articles on social media platforms such as Facebook and Twitter.[42]By analysing large amounts of data, it learns how specific audiences respond to different articles at different times of the day. It then chooses the best stories to post and the best times to post them. It uses both historical and real-time data to understand to what has worked well in the past as well as what is currently trending on the web.[43]Another company, called Yseop, uses artificial intelligence to turn structured data into intelligent comments and recommendations in natural language. Yseop is able to write financial reports, executive summaries, personalized sales or marketing documents and more at a speed of thousands of pages per second and in multiple languages including English, Spanish, French & German.[44]Boomtrain’s is another example of AI that is designed to learn how to best engage each individual reader with the exact articles — sent through the right channel at the right time — that will be most relevant to the reader. It’s like hiring a personal editor for each individual reader to curate the perfect reading experience.There is also the possibility that AI will write work in the future. In 2016, a Japanese AI co-wrote a short story and almost won a literary prize.[45]Online and telephone customer service[edit]An automated online assistant providing customer service on a web page.Artificial intelligence is implemented in automated online assistants that can be seen as avatars on web pages.[46]It can avail for enterprises to reduce their operation and training cost.[46]A major underlying technology to such systems is natural language processing.[46]Pypestream uses automated customer service for its mobile application designed to streamline communication with customers.[47]Currently, major companies are investing in AI to handle difficult customer in the future. Google's most recent development analyzes language and converts speech into text. The platform can identify angry customers through their language and respond appropriately.[48]Sensors[edit]Artificial Intelligence has been combined with many sensor technologies, such as Digital SpectrometryTMby IdeaCuria Inc.[49][50]which enables many applications such as at home water quality monitoring.Telecommunications maintenance[edit]Many telecommunications companies make use of heuristic search in the management of their workforces, for example BT Group has deployed heuristic search[51]in a scheduling application that provides the work schedules of 20,000 engineers.Toys and games[edit]The 1990s saw some of the first attempts to mass-produce domestically aimed types of basic Artificial Intelligence for education, or leisure. This prospered greatly with the Digital Revolution, and helped introduce people, especially children, to a life of dealing with various types of Artificial Intelligence, specifically in the form of Tamagotchis and Giga Pets, iPod Touch, the Internet, and the first widely released robot, Furby. A mere year later an improved type of domestic robot was released in the form of Aibo, a robotic dog with intelligent features and autonomy.Companies like Mattel have been creating an assortment of AI-enabled toys for kids as young as age three. Using proprietary AI engines and speech recognition tools, they are able to understand conversations, give intelligent responses and learn quickly.[52]AI has also been applied to video games, for example video game bots, which are designed to stand in as opponents where humans aren't available or desired.Transportation[edit]Fuzzy logic controllers have been developed for automatic gearboxes in automobiles. For example, the 2006 Audi TT, VW Touareg[citation needed]and VW Caravell feature the DSP transmission which utilizes Fuzzy Logic. A number of Škoda variants (Škoda Fabia) also currently include a Fuzzy Logic-based controller.Today's cars now have AI-based driver assist features such as self-parking and advanced cruise controls. AI has been used to optimize traffic management applications, which in turn reduces wait times, energy use, and emissions by as much as 25 percent.[1]In the future, fully autonomous cars will be developed. AI in transportation is expected to provide safe, efficient, and reliable transportation while minimizing the impact on the environment and communities. The major challenge to developing this AI is the fact that transportation systems are inherently complex systems involving a very large number of components and different parties, each having different and often conflicting objectives.[53]Other[edit]Various tools of artificial intelligence are also being widely deployed in homeland security, speech and text recognition, data mining, and e-mail spam filtering. Applications are also being developed for gesture recognition (understanding of sign language by machines), individual voice recognition, global voice recognition (from a variety of people in a noisy room), facial expression recognition for interpretation of emotion and non verbal cues. Other applications are robot navigation, obstacle avoidance, and object recognition.[citation needed]List of applications[edit]Typical problems to which AI methods are appliedOptical character recognitionHandwriting recognitionSpeech recognitionFace recognitionArtificial creativityComputer vision, Virtual reality, and Image processingPhoto and Video manipulationDiagnosis (artificial intelligence)Game theory and Strategic planningGame artificial intelligence and Computer game botNatural language processing, Translation and ChatterbotsNonlinear control and RoboticsOther fields in which AI methods are implementedArtificial lifeAutomated reasoningAutomationBiologically inspired computingConcept miningData miningKnowledge representationSemantic WebE-mail spam filteringRoboticsBehavior-based roboticsCognitiveCyberneticsDevelopmental robotics (Epigenetic)Evolutionary roboticsHybrid intelligent systemIntelligent agentIntelligent controlLitigationSee also[edit]Applications of artificial intelligence to legal informaticsApplications of deep learningApplications of machine learningList of artificial intelligence projectsProgress in artificial intelligenceNotes[edit]^ Jump up to:a b c United States, National Science and Technology Council – Committee on Technology. Executive Office of the President. (2016). Preparing for the future of artificial intelligence.Jump up^ "AI bests Air Force combat tactics experts in simulated dogfights". Ars Technica. Retrieved 2016-11-18.Jump up^ Jones, Randolph M.; Laird, John E.; Nielsen, Paul E.; Coulter, Karen J.; Kenny, Patrick; Koss, Frank V. (1999-03-15). "Automated Intelligent Pilots for Combat Flight Simulation". AI Magazine. 20 (1): 27. ISSN 0738-4602.Jump up^ AIDA Homepage. http://Kbs.twi.tudelft.nl (April 17, 1997). Retrieved on 2013-07-21.Jump up^ The Story of Self-Repairing Flight Control Systems. NASA Dryden. (April 2003). Retrieved on 2016-08-25.Jump up^ "Flight Demonstration Of X-33 Vehicle Health Management System Components On The F/A-18 Systems Research Aircraft" (PDF).^ Jump up to:a b c d Adams, Eric (March 28, 2017). "AI Wields the Power to Make Flying Safer—and Maybe Even Pleasant". WIRED. Retrieved October 7, 2017.^ Jump up to:a b c Baomar, Haitham; Bentley, Peter J. (2016). 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ISBN 978-1-84564-146-7Jump up^ "Five Best AI-Powered Chatbot Apps".Jump up^ "Is Artificial Intelligence the Way Forward for Personal Finance?".Jump up^ "Machine learning in finance applications".Jump up^ "Machine Learning Is the Future of Underwriting, But Startups Won't be Driving It".Jump up^ "ZestFinance Introduces Machine Learning Platform to Underwrite Millennials and Other Consumers with Limited Credit History".Jump up^ "Raj Mukherjee". Forbes.Jump up^ "chatbots". Wikipedia.Jump up^ "Glassdoor`s" (PDF). Glassdoor.Jump up^ "World Robotics 2015 Industrial Robots". International Federation of Robotics. Archived from the original on March 27, 2016. Retrieved 27 March 2016.Jump up^ Reed, T. R.; Reed, N. E.; Fritzson, P. (2004). "Heart sound analysis for symptom detection and computer-aided diagnosis". Simulation Modelling Practice and Theory. 12 (2): 129. doi:10.1016/j.simpat.2003.11.005.Jump up^ Yorita, A.; Kubota, N. (2011-03-01). "Cognitive Development in Partner Robots for Information Support to Elderly People". IEEE Transactions on Autonomous Mental Development. 3 (1): 64–73. doi:10.1109/TAMD.2011.2105868. ISSN 1943-0604.Jump up^ "Artificial Intelligence Will Redesign Healthcare – The Medical Futurist". The Medical Futurist. 2016-08-04. Retrieved 2016-11-18.Jump up^ Luxton, David D. (2014). "Artificial Intelligence in Psychological Practice: Current and Future Applications and Implication". Professional Psychology: Research and Practice. 45(5): 332. doi:10.1037/a0034559.Jump up^ "From Virtual Nurses To Drug Discovery: 90+ Artificial Intelligence Startups In Healthcare". CB Insights – Blog. 2016-08-31. Retrieved 2016-11-18.Jump up^ "Press Release: FDA permits marketing of IDx-DR for automated detection of diabetic retinopathy in primary care". Eye Diagnosis. April 12, 2018. Retrieved 11 September2018.Jump up^ "Video Recognition API of Valossa". Retrieved 2018-02-08.Jump up^ Cheng, Jacqui (30 September 2009). "Virtual composer makes beautiful music—and stirs controversy". Ars Technica.Jump up^ US Patent #7696426 https://www.google.com/patents/US7696426Jump up^ Hick, Thierry (11 October 2016). "La musique classique recomposée". Luxemburger Wort.Jump up^ SACEM Database, https://repertoire.sacem.fr/resultats?filters=parties&query=aiva&nbWorks=20)Jump up^ Requena, G; Sanchez, C; Corzo-Higueras, JL; Reyes-Alvarado, S; Rivas-Ruiz, F; Vico, F; Raglio, A (2014). "Melomics music medicine (M3) to lessen pain perception during pediatric prick test procedure". Pediatric Allergy and Immunology. 25 (7): 721. doi:10.1111/pai.12263. PMID 25115240.Jump up^ Souppouris, Aaron (23 May 2016). "Google's 'Magenta' project will see if AIs can truly make art". Engadget.Jump up^ "Watson Beat on GitHub".Jump up^ "Songs in the Key of AI". Wired. 17 May 2018.Jump up^ business intelligence solutions Archived November 3, 2011, at the Wayback Machine.. Narrative Science. Retrieved on 2013-07-21.Jump up^ Eule, Alexander. "Big Data and Yahoo's Quest for Mass Personalization". Barron's.Jump up^ Kirkland, Sam. "'Robot' to write 1 billion stories in 2014 — but will you know it when you see it?". Poynter.Jump up^ Williams, Henry (July 4, 2016). "AI online publishing service Echobox closes $3.4m in funding". Startups.co.uk | Business ideas, funding help and growth advice. Retrieved July 21, 2016.Jump up^ Smith, Mark (July 22, 2016). "So you think you chose to read this article?". BBC. Retrieved July 27, 2016.Jump up^ "Archived copy". Archived from the original on 2013-04-12. Retrieved 2013-03-11.Jump up^ "A Japanese AI program just wrote a short novel, and it almost won a literary prize". Digital Trends. 2016-03-23. Retrieved 2016-11-18.^ Jump up to:a b c Implementing an online help desk system based on conversational agent Authors: Alisa Kongthon, Chatchawal Sangkeettrakarn, Sarawoot Kongyoung and Choochart Haruechaiyasak. Published by ACM 2009 Article, Bibliometrics Data Bibliometrics. Published in: Proceeding, MEDES '09 Proceedings of the International Conference on Management of Emergent Digital EcoSystems, ACM New York, NY, USA. ISBN 978-1-60558-829-2, doi:10.1145/1643823.1643908Jump up^ Sara Ashley O'Brien (January 12, 2016). "Is this app the call center of the future?". CNN. Retrieved September 26, 2016.Jump up^ jackclarkSF, Jack Clark (2016-07-20). "New Google AI Brings Automation to Customer Service". Are you a robot?. Retrieved 2016-11-18.Jump up^ "Digital Spectrometry". 2018-10-08.Jump up^ [1], "Digital Spectrometry Patent US9967696B2"Jump up^ Success Stories Archived October 4, 2011, at the Wayback Machine..Jump up^ "How artificial intelligence is moving from the lab to your kid's playroom". Washington Post. Retrieved 2016-11-18.Jump up^ Meyer, Michael D. (January 2007). "Artificial Intelligence in Transportation Information for Application" (PDF). Transportation Research Circular.References[edit]Russell, Stuart J.; Norvig, Peter (2003). Artificial Intelligence: A Modern Approach (2nd ed.). Upper Saddle River, New Jersey: Prentice Hall. ISBN 0-13-790395-2.Kurzweil, Ray (2005). The Singularity is Near: When Humans Transcend Biology. New York: Viking. ISBN 978-0-670-03384-3.National Research Council (1999). "Developments in Artificial Intelligence". Funding a Revolution: Government Support for Computing Research. National Academy Press. ISBN 0-309-06278-0. OCLC 246584055.Moghaddam, M. J., M. R. Soleymani, and M. A. Farsi. "Sequence planning for stamping operations in progressive dies." Journal of Intelligent Manufacturing(2013): 1-11.United States, National Science and Technology Council – Committee on Technology. Executive Office of the President. (2016). Preparing for the future of artificial intelligence.External links[edit]AI applications at aitopics.orgHow AI can be applied in many fieldsArtificial Intelligence: Biggest Trend In SmartphonesWhy AI Is a Great Idea for Any Web Hosting10 Tips to Create an Addictive Chatbot ApplicationshowvteEmerging technologiesCategories:Artificial intelligenceArtificial intelligence applicationsNavigation menuNot logged inTalkContributionsCreate accountLog inArticleTalkReadEditView historySearchMain pageContentsFeatured contentCurrent eventsRandom articleDonate to WikipediaWikipedia storeInteractionHelpAbout WikipediaCommunity portalRecent changesContact pageToolsWhat links hereRelated changesUpload fileSpecial pagesPermanent linkPage informationWikidata itemCite this pagePrint/exportCreate a bookDownload as PDFPrintable versionIn other projectsWikimedia CommonsLanguagesEspañolFrançaisՀայերենଓଡ଼ିଆРусскийУкраїнськаEdit linksThis page was last edited on 8 October 2018, at 22:09 (UTC).Text is available under the Creative Commons Attribution-ShareAlike License; additional terms may apply. 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The Ultimate List of The Most Popular Online Business IdeasIt seems that there’s no shortage of great online business ideas.According to 10 Best Web Hosting Services in 2017 (Reviews & Performance Tests), there are 966 million websites in the world today and WordPress alone is responsible for over 76.5 million blogs.Although there’s no one accurate figure, some studies suggest that over 100 million freelancers around the world are successfully running small online businesses from their homes.The perks of being your own boss seem so great that many are willing to quit their stable jobs to embark on this entrepreneurial journey.So if you’re quietly contemplating the idea of starting something of your own, here’s a list of the most popular online business ideas that are within the reach of almost anyone who’s willing to take the plunge.Online business ideas you can start tomorrowTravel consultantDo you spend more time packing and unpacking your luggage than most of the people you know? Then you might be onto something! Travelling is one of the greatest passions of this age – the crazier and more nomadic, the better! If you have a knack for organising memorable, authentic trips and enjoy the process of creating exciting day-to-day plans, why not do it for money? Become a travel consultant to help adventure-seekers plan their unforgettable holidays from A to Z and enjoy every second of your working day.Get baking!From freshly baked butter croissants to colourful macaroons and pillow-soft morning bagels – the world of the great bake off is a rich and ever-growing place. The beautiful thing about the online world is that a great passion can be turned into a great business almost overnight. If you’re a baker, you can use sites like Squarespace or Wix to build your online bakery and start handcrafting the future from your own kitchen.Tasty BakeryWedding plannerIf spending hours pinning images of gorgeous table arrangements and bouquet ideas on Pinterest is your definition of a perfect job, then you will make an exceptional wedding planner. Sharp project management skills and an eye for detail are pretty much the most important requirements for this job – no fancy diplomas to stop you from breaking into this industry! You can sell your consulting services, wedding decorations, game packages, personalised gifts – the list of possibilities is endless (well, almost).Party/corporate events plannerEvent planning is a bit like wedding planning, just on steroids. The scope of this idea is so large that it includes everything from cheesy stag and hen do parties to sophisticated product launches. Again, the entry barriers are rather low, but a flush work portfolio and a few glowing testimonials are something you need to consider to get a good head start in this field.Foreign language teacherEveryone knows that the quickest way to learn a new language is to mingle with native speakers. If you were lucky enough to be born in an English, French, Spanish (insert any of the world’s main languages) speaking country, then missing out on the opportunity to cash in on the skills you take for granted is exactly that – missing out! Use online communication tools, such as Skype or Google Hangouts, to connect with learners and leverage your privileges. Time is money, so package your hours into teaching sessions and you’re good to go.6. Open a T-Shirt online shopPlatforms like Spreadshirt and Shopifyhave made it insanely simple to start an online t-shirt business for anyone with a speck of imagination and an eye for design.TruffleShuffle7. Handmade goods shopIt can take you less than a day to build a storefront to showcase your work and connect with customers on platforms like Amazon and Etsy. If you’re into crafts and DIY, it’s definitely a viable business option to consider.8. Online researcherAlthough it sounds like a too-good-to-be-true idea, some people are successfully earning a living off their skill to find information online. From data research for infographics to market research for budding startups, talented researchers know that you can put a price tag on knowledge.9. Content curationThe German Economist Schumpeter once said that there are “no original ideas”, only new combinations of old ones. Curation of curiosity-fueling content is an intriguing and little-known business model. One of the best success stories out there is Brainpickings – a platform that describes itself as “an inventory of cross-disciplinary interestingness, spanning art, science, design, history, philosophy, and more”. The subscription-based model and successful utilisation of affiliate links have turned the blog into a self-sustaining business.Brainpickings.com – An inventory of the meaningful life.10. Become a private chefIf cooking is one of your personal passions, there are dozens of opportunities to turn it into a decent business venture. You can start by setting up a catering website, experimenting with pop-up food stalls and local food markets, or joining platforms like MenuNextDoor that encourage cooking enthusiasts to squeeze some money out of their passion. And if you’re not camera-shy, you can teach people how to cook special meals by selling online classes.11. DropshippingCheck out our guide to mastering dropshipping here. In short, dropshipping is the easiest option to start an eCommerce business without having to buy products in advance.12. Fresh produce deliveryOrganic, fresh food is somewhat of a modern craze. Fruit and vegetable deliveries, local farm boxes, and freshly-made goodies from local producers can help you kick off a business that not only encourages a healthier lifestyle but also supports the local economy.13. Social media managerSocial media is an integral part of any business but it’s time-consuming and ever-changing – so really quite difficult to keep up with and, more importantly, capitalise on. Many business owners are willing to outsource this time-intensive task, so it’s a great opportunity for social media fanatics. Bundle together a few interesting offers, such as “Startup social media kit” or “Small Business Social Media Starter Kit” that encompass everything from social media graphics to analytics reports and the seamless experience will bring you more clients than you expect.Aggressive Growth Marketing14. Kickstarter/Indiegogo advisorGrabbing the attention of curious browsers on the most popular crowdsourcing platforms like Kickstarter and Indiegogo is a tough job. If you’re inventive and know how to tap into human emotion, then this is a niche worth exploring. Many aspiring entrepreneurs look for personalised advice to carry their campaigns to the finish line, so try offering action-oriented eBooks or online courses targeted at this particular audience.15. Remote sales teamAs more and more companies take on the lean, mean approach to business, outsourcing cold calling and telesales functions becomes a sort of standard in the startup and small business environment. Whether you want to sell highly-targeted sales pitches or customer data, such as phone numbers and email addresses, the potential is vast.16. SEO expertOne of the online world’s hottest professions at the moment, this business is a gold mine for the tech-savvy entrepreneurs. While everyone’s slightly obsessed with getting their sites SEO optimized, not many people can actually wrap their heads around this topic. If you decide to go into this field, you can think about offering link building, content creation, on-page SEO optimization and similar one-off packages.17. Selling online coursesDerek Halpern has built a really strong personal brand. He’s the founder of a software and business training company called Social Triggers and makes a LOT of money teaching people how to sell what they know best. And what he knows best is how to sell. If you’ve got some serious expertise, start making money out of it by selling online courses or simply teaching online.Derek Halpern, Social Triggers18. CV writingBanging out a winning CV is a mission impossible for many. If you’re good with words and know how to highlight people’s best qualities, CV writing could be a pretty sweet place to start a business. Additionally, you can sell slick CV templates that will help job hunters to get noticed faster and yield better results.19. Speech writingGiving speeches is a terrifying experience. Giving bad speeches… Well, no one wants to be in that situation. Wordsmiths have a hugely sellable skill to win people over using nothing else but the power of well-strung sentences. If you can write, cash in on this skill by crafting speeches that make birthdays, weddings, award ceremonies, or political debates a more memorable experience.20. Public speaking coachNaturally, the next one on the list is coaching people how to deliver great speeches. Public speaking is the number one fear on most people’s list – some fear it more than death! This skill can prove to be handy in many areas – from pitching to investors, to delivering key messages at global conferences. If you’re a natural on stage, help entrepreneurs rediscover their in-born ability to communicate by selling effective presentation templates and online coaching classes.21. Self-published authorIf you have the next Harry Potter manuscript sitting in your drawer and the publishing industry hasn’t been kind to you, try self-publishing. Using tools like Amazon’s direct publishing or working with dedicated consultants like I_Am, you not only get the satisfaction of pushing your work out there but also retain 100% of your royalties! Don’t think you can write a good novel? Then stick to what you know – self-help is a money-making genre!22. Dating coachOnline and mobile dating are booming. Thousands of people around the world are looking for love online and, unfortunately, many are unsuccessful in their quest. As a dating coach you’d be responsible for helping your clients to organise and prepare for a perfect date, to refine their flirting skills and to advise on the do’s and don’ts of a dating life.Johnny Cassel Dating Advice23. Mystery shopperOkay, it can be rather difficult to make a living solely from this but it’s a great place to start if you’re planning to build your own mystery shoppers’ army. Customer experience is one of the biggest obsessions of online and offline retailers, so there’s great potential here! Take a look at some of the existing platforms here and here.24. Selling professional photosThe number of websites and blogs operating online demand a constant stream of high-quality, beautiful photographs that can help businesses attract and convert more customers. Setting up a stock photo library is a great business idea as it targets virtually every industry regardless of a company’s size. Check out sites like SmugMug, Photoshelter and iStockPhoto for more information.25. Bug testingBug testing is a service that no software company can ignore. If you can build a platform to crowdsource expert skills and resources to tackle this area, then you have solid chances of turning a profit. To learn more about this model, look into BugFinders and CrowdSourceTesting.26. AccountantPick your niche (tax accounting, personal finance, bookkeeping, financial reports, etc.) and establish a good online presence by creating and promoting your website. Most of the solo traders and small businesses look for professional help with their accounts, so this is a huge area for potential work.27. Investment advisorA lot of people with middle-class income would like to create a robust investment portfolio to secure a financially stable future but simply have no clue where to start. If you have professional experience as an investment analyst or do a lot of investment yourself, then offering investment advice for middle-class investors is a natural move for you.28. Mystery objects shopIf you have an eye for quirky stuff, maybe running a mystery object shop could help you combine the thirst for curious things with a steady source of income. TheSomethingStore and Muddy Creatures are nailing the concept of a surprise purchase that taps into the explorer instinct many of us possess. There’s no exact science or skill fueling this business idea – let your imagination go wild…Muddy CreaturesProfitable online business ideas that you can nail29. Relationship coachSome people just seem to intuitively know more than others – they don’t get involved in destructive relationships or suffer from loss of self-knowledge. If you can relate to that description and feel your relationships have been fairly happy and stable, then maybe you’re one of them. You’ll need to invest in relevant workshops and books, get knowledgeable and certified before you can start coaching others, but it’s a fascinating business idea that will reward you both financially and morally.Relationship Coach Sam Owen30. NutritionistThe trend of healthy eating is here to say. Yet with so much contradictory advice online about what is good for us and what is not, more and more people turn to professional nutritionists for specialist tips and guidance. You can easily find free online courses to learn the fundamentals of this profession and start offering personalised nutrition plans online.31. Yoga instructorSelling yoga classes online is a great source of income. There are hundreds of sites like Reflexion Yoga or Yogaia that offer these services but they all have one thing in common – the classes are taught by pros. To capitalise on this huge trend you’ll either have to team up with a great yoga teacher or be one yourself.yogaia.com – live online yoga classes that fit around your life.32. Makeup artistLots of successful makeup artists started their career on YouTube. All you need is a strong portfolio and a professional-looking website to get this gig going. Offer a couple of free makeup sessions to build your reputation and use content marketing to spread the word online. When you feel that you’ve got enough momentum going, start selling makeup tutorials, makeup products and personalised tips.33. Music teacherCan you play a musical instrument? Chances are someone is looking for a teacher right now. You can build a subscription-based online business or use your website to generate leads and teach via Skype or in person. Browse GuitarTricks and JustinGuitar for some inspiration.34. Personal trainerKayla Itsines is probably one of the best success stories of this industry. She’s built a whole Kayla Fitness empire and grown her services from simply writing personal training plans to selling official fitness apps and books. You can jumpstart your career by offering free taster video classes and personal tips on your website and harvesting social media sites like Instagram and Facebook to promote your services.Personal Trainer Kayla Itsines35. Business consultantRunning a business consulting company is a great option for those who’ve been involved in the process of building a business before. Whether you’ve gained your experience through working with a number of different startups or learned the secrets of business management in a more corporate environment, helping other entrepreneurs achieve great results can include everything from business planning and forecasting to liaising with banks and institutions.36. Video producerYouTube is the third largest site in the world, so there’s no surprise that video is becoming one of the main communication mediums for businesses of all types and sizes. If you have video filming or editing knowledge, it won’t take you long to build your clientele. Everything from video production workshops and video editing services to soundtrack libraries and DIY tutorials can appeal to the business world. Producing video might be one of the most attractive online business ideas with lots of creativity and challenges.37. Natural & organic beauty shopOnline shoppers are getting more and more conscientious about their choices, and especially so when it comes to beauty products. Running a beauty shop that’s built on strong ethos and values that resonate with nature and animal lovers is one of the hottest online business ideas right now. Tropic Skin Care seems to be doing a great job at connecting with these shoppers.38. Women sportswearWith LuluLemon spearheading the way, online sportswear shops for women are quickly climbing to the top of the most popular online business ideas amongst eCommerce entrepreneurs. Since yoga pants are clearly here to stay, it’s safe to say that the athleisure trend is one of the best and, perhaps, the least explored niches in eCommerce right now.LuluLemon39. 3D-printed productsOne of the biggest technological breakthroughs of this age, 3D printing is dictating a new strategy in the eCommerce world. Some of the best selling 3D-printed products include jewellery, home accessories, bicycle parts, tech accessories and more. For some beautiful examples check out Wonderluk, 3DigitalCooks, and DanitPeleg.40. Ethical fashion brandOne thing is clear – clothes and accessories will always be one of the super-profitable online business ideas for an eCommerce site. However, with so many boutiques and brands already online, rising above the noise is extremely difficult. Yet, one promising idea that savvy entrepreneurs have probably already noticed is the booming trend of “ethical fashion”. Brands, such as Pachacuti, People Tree, Sea Salt and Matt&Nat have successfully crafted their brands around the concept of organic, ethical production of fashion items and are riding the trend to the top of the strongest brands list.Source: oberlo