Stand with Ukraine. Boosty is already actively helping Ukraine. Support our initiative [/] Services Projects Solutions Growth Contacts Book a call Documentation Boosty Labs presentation R&D presentation Cases Content Services Projects Contacts Solutions Growth Venture Studio Book a call Our Locations New York, United States 220 East 23rd Street, Office #500, New York, NY 10010 Berlin, Germany Franz-Mehring-Platz 3, 03-05-84, Berlin, Germany, 10243 London, Great Britain 86/90 Paul street London, Great Britain, EC2A4NE Artificial Intelligence Development Company Artificial Intelligence (AI) is a system or machine that is capable of imitating human behavior to perform specific tasks and can gradually learn using the information received. Boosty Labs is the largest artificial intelligence development company in Europe. Its world-class fintech and cloud engineering team with a solid background of practice that combines consulting, strategy, design and engineering at scale, can help with artificial intelligence development. Cooperate Benefits of using artificial intelligence Reduced Initial Investment When buying outsourced AI development, you do not need to research, create and develop your own AI technologies and tools. Buying an AI solution may seem expensive, but such services are much more affordable and do not require large in-house resources. Democratization of Access to AI Depending on the tools and vendor chosen, the company may have little or no idea of the exact nature of the tool and its settings. The AI provider can customize it and provide ongoing maintenance, as well as customizing or developing specific use cases. Easy Deployment & Minimal Maintenance Requirements Even if the company's specialists have deep knowledge in the field of AI, most likely, it does not make sense to spend their resources on deploying and maintaining secondary aspects of AI solutions. The AI vendor can take over all deployment and ongoing maintenance tasks, freeing up the resources of the customer company. Scalability If a company's need for AI tools or its budget has grown, or, conversely, it is forced to reduce its investment in third-party solutions, it can scale up or down as its needs change. Continuous Improvement Modern AI solutions companies have created solutions for applications in a wide variety of areas. These tools are regularly tested and updated, and the developers strive to constantly improve their technology stack. Their customers benefit from this with up-to-date updates to existing tools, access to new tools and use cases in beta, and more. Areas of application of artificial intelligence Banking Services Credit organizations use artificial intelligence for scoring – assessing the solvency of customers when considering loan applications. How it works: the neural network studies the borrower's profile, compares the data with the requirements of the bank, analyzes the risk of non-return of funds, issues a decision on approval or rejection of the application. Thanks to the introduction of AI, it was possible to significantly reduce the time for processing credit applications. Now it takes a few minutes from sending the questionnaire to the bank to receiving a response. AI technologies have also found application in servicing ATMs: artificial intelligence predicts the loading of terminals and reduces cash collection costs. AI-based anti-fraud systems help banks fight fraud. AI analyzes the activities of individuals and companies to recognize financial fraud. Safety Intelligent systems keep order on the streets and public events. AI collects data from cameras and motion sensors, predicts the occurrence of dangerous situations and notifies services in time. Medicine Artificial intelligence is widely used in diagnostics. For example, according to the results of a tomography, AI can detect viral pneumonia, and during a pandemic, AI algorithms over the phone analyzed the voice and breathing of the interlocutor to determine signs of infection. In surgery, assistant robots are used, which perform standard procedures with pinpoint accuracy, which reduces the risk of postoperative complications. Artificial intelligence is able to select the optimal dosage of drugs, analyze clinical data in detail and offer treatment taking into account the patient's condition and the characteristics of his body. Smart Houses It would seem that today almost every device has a "mind". However, despite their impressive functionality, modern smart scales, robotic vacuum cleaners and energy-efficient sockets are not AI technologies. The trend towards the use of full-fledged AI in the smart home is only gaining momentum. Examples of the use of artificial intelligence: control of climate technology: smart thermostats independently regulate the temperature in the room, studying the preferences of residents and their behavior; intelligent security systems: AI responds to deviations from the normal noise level, including ultra- and infrasonic ranges; computer security: the system catches deviations of traffic or user actions from the norm in order to determine a hacking attempt. Neural networks can do a lot: guess the race from an x-ray, find holes in the roads, draw cities in the form of people and animals. Technologies based on artificial intelligence are gradually capturing all spheres of life and changing the usual reality. Three kinds of AI The capabilities of artificial intelligence depend on the algorithm of its work. There are the following types of AI: narrow, or weak (Weak Artificial Intelligence, Narrow AI); strong (Artificial General Intelligence, Strong AI); super-AI (Super Artificial Intelligence). Narrow AI is a highly specialized AI that solves specific application problems. Application examples for Narrow AI: online transfers; social media advertising; face recognition; data search; game of chess; voice answering machines. Strong AI is a type of artificial intelligence that is capable of solving a wide range of tasks on a par with the human mind. According to Turing, Strong AI must be self-aware, and in this form AI will appear only by 2075. However, today there are technologies with the potential to surpass the level of Narrow AI. Therefore, we can say that Strong AI is now at the initial stage of development and will flourish in the perspective of 50 years. Examples of the use of Strong AI: virtual assistants; creation of music, texts, images; driving unmanned vehicles; Big Data technologies – processing and analysis of large volumes of data. Super Artificial Intelligence is an artificial intelligence with self-awareness, the ability to improve itself and create new algorithms. Analysts predict the emergence of this technology in the 2100s. Super AI will surpass the capabilities of human thinking many times over and will be able to reprogram itself. The advantages of AI of any kind are the high speed of information processing and the elimination of errors due to the human factor. This allows you to reduce business costs, relieve staff and optimize processes in various areas. Applications of AI in Work and Business Voice Technologies Smart algorithms are used in speech services. Options for using voice technologies in business: call center automation: voice assistants will call customers, offer services, talk about the promotion, conduct a survey, make an appointment and remind them of the appointment; improving the quality of service: speech analytics services will evaluate the work of the operator and the level of customer satisfaction; audio interfaces: you can turn any text into audio – for example, you can voice the application menu or product description on the site; telephony automation: instead of waiting on the line for an operator to answer, your customers will be able to get information from a voice robot; transcription: speech recognition services translate audio into text, which is convenient for transcribing conversations, creating presentations based on speeches, developing manuals and instructions for staff. Based on AI technologies, you can create a recognizable brand voice that will sound in advertising, promotional videos, and on your company's answering machine. Marketing Narrow AI's simple technologies have been used in targeted advertising for a long time. Algorithms analyze the user's behavior on the network, his interests, search queries and other data, based on which the system displays a suitable ad. Artificial intelligence also solves more global marketing tasks – for example, it helps in strategic planning. This area is called AI Marketing: a neural network based on Big Data analysis predicts customer behavior and offers new channels for product promotion. Document processing Retailers use text recognition algorithms in the processing of customer questionnaires. This allows us to solve the problem of data digitization, when, for example, store visitors fill out cards to participate in a loyalty program by hand. The use of AI technologies allows you to optimize the workflow. For example, artificial intelligence can recognize details on scanned or photographed documents in a second in order to enter them into a database or contract template. The neural network can be entrusted with automatic verification of counterparties, reconciliation of data, and search for errors in filling out forms. Business Management Intelligent algorithms are able to analyze the company's business processes in dozens of parameters. With the help of AI systems, you can solve various management tasks: improve work at all stages of the sales funnel; increase conversions; reduce costs, increase income; monitor the quality of service, improve customer satisfaction; improve the efficiency of business processes. The use of AI models helps to choose the right business strategy. AI models company development scenarios in different conditions, taking into account existing trends and changes that you plan to implement. Building a Branch Network With the help of an artificial intelligence services company, you can find the best place to open a store, salon or branch. The technology is called location intelligence: the neural network collects data on existing units, determines their effectiveness and potential, analyzes customer requests and competitor activity, explores statistics by regions, cities and locations within each city. After such an analysis, AI issues an assessment of the load of current points and recommendations for opening new ones. Translations The dynamics of the development of AI technologies can be traced on the example of online translators. A few years ago, such services translated each word separately, resulting in illiterate and sometimes illogical text. Now AI is doing a much better job. Algorithms recognize whole sentences, know idioms and homographs – words with the same spelling and different meanings. The use of this approach provides a better translation. True, so far this applies only to the most common languages –​​ for example, English. It will not work to get a professionally translated text from Thai, Pashto and other rare or local languages. The problem is the lack of a large base of mutual transfers. However, experts are actively solving this problem using machine learning technologies. Application of AI-translation capabilities in work and business: access to information from foreign sources: you can translate instructions for new products, messages on forums when setting up new software, articles, studies; business development: you can study the cases of global companies to apply new ideas and experience in your company; online communication with foreign clients and partners: now many messenger developers are implementing the functions of simultaneous translation of voice calls; content creation: you can adapt materials in English and other languages when writing texts for a website or social networks. 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