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Whether for simple text, rich and interactive messages, or automated experiences and bot interactions, Smooch’s APIs and SDKs enable software makers to bring the power of modern messaging to their enterprise products.\r\nBy empowering companies to transform every customer interaction into a personalized conversational experience, our goal is to make people's relationships with businesses and technology a little more human.\r\nSource: https://www.linkedin.com/company/smooch-io/about/","companyTypes":["supplier","vendor"],"products":{},"vendoredProductsCount":1,"suppliedProductsCount":1,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":0,"supplierImplementationsCount":0,"vendorImplementationsCount":0,"vendorPartnersCount":0,"supplierPartnersCount":0,"b4r":0,"categories":{"591":{"id":591,"title":"Software Development","description":" Software development is the process of conceiving, specifying, designing, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components. Software development is a process of writing and maintaining the source code, but in a broader sense, it includes all that is involved between the conception of the desired software through to the final manifestation of the software, sometimes in a planned and structured process. Therefore, software development may include research, new development, prototyping, modification, reuse, re-engineering, maintenance, or any other activities that result in software products.\r\nSoftware can be developed for a variety of purposes, the three most common being to meet specific needs of a specific client/business (the case with custom software), to meet a perceived need of some set of potential users (the case with commercial and open-source software), or for personal use (e.g. a scientist may write software to automate a mundane task). Embedded software development, that is, the development of embedded software, such as used for controlling consumer products, requires the development process to be integrated with the development of the controlled physical product. System software underlies applications and the programming process itself and is often developed separately.\r\nThe need for better quality control of the software development process has given rise to the discipline of software engineering, which aims to apply the systematic approach exemplified in the engineering paradigm to the process of software development.\r\nThere are many approaches to software project management, known as software development life cycle models, methodologies, processes, or models. The waterfall model is a traditional version, contrasted with the more recent innovation of agile software development.","materialsDescription":" <span style=\"font-weight: bold; \">What is software development?</span>\r\nSoftware itself is the set of instructions or programs that tell a computer what to do. It is independent of hardware and makes computers programmable. There are three basic types:\r\n<span style=\"font-weight: bold; \">System software</span> to provide core functions such as operating systems, disk management, utilities, hardware management, and other operational necessities.\r\n<span style=\"font-weight: bold; \">Programming software</span> to give programmers tools such as text editors, compilers, linkers, debuggers and other tools to create code.\r\n<span style=\"font-weight: bold; \">Application software</span> (applications or apps) to help users perform tasks. Office productivity suites, data management software, media players and security programs are examples. Applications also refer to web and mobile applications like those used to shop on Amazon.com, socialize with Facebook or post pictures to Instagram.\r\nA possible fourth type is <span style=\"font-weight: bold; \">embedded software.</span> Embedded systems software is used to control machines and devices not typically considered computers — telecommunications networks, cars, industrial robots and more. These devices, and their software, can be connected as part of the Internet of Things (IoT).\r\nSoftware development is primarily conducted by programmers, software engineers, and software developers. These roles interact and overlap, and the dynamics between them vary greatly across development departments and communities.\r\n<span style=\"font-weight: bold; \">Programmers, or coders,</span> write source code to program computers for specific tasks like merging databases, processing online orders, routing communications, conducting searches or displaying text and graphics. Programmers typically interpret instructions from software developers and engineers and use programming languages like C++ or Java to carry them out.\r\n<span style=\"font-weight: bold; \">Software engineers</span> apply engineering principles to build software and systems to solve problems. They use modeling language and other tools to devise solutions that can often be applied to problems in a general way, as opposed to merely solving for a specific instance or client. Software engineering solutions adhere to the scientific method and must work in the real world, as with bridges or elevators.\r\n<span style=\"font-weight: bold; \">Software developers</span> have a less formal role than engineers and can be closely involved with specific project areas — including writing code. At the same time, they drive the overall software development lifecycle — including working across functional teams to transform requirements into features, managing development teams and processes, and conducting software testing and maintenance.\r\nThe work of software development isn’t confined to coders or development teams. Professionals such as scientists, device fabricators, and hardware makers also create software code even though they are not primarily software developers. Nor is it confined to traditional information technology industries such as software or semiconductor businesses. In fact, according to the Brookings Institute, those businesses “account for less than half of the companies performing software development.”\r\nAn important distinction is custom software development as opposed to commercial software development. Custom software development is the process of designing, creating, deploying and maintaining software for a specific set of users, functions or organizations. In contrast, commercial off-the-shelf software (COTS) is designed for a broad set of requirements, allowing it to be packaged and commercially marketed and distributed.\r\n<span style=\"font-weight: bold;\">Steps in the software development process</span>\r\nDeveloping software typically involves the following steps:\r\n<ul><li><span style=\"font-weight: bold;\">Selecting a methodology</span> to establish a framework in which the steps of software development are applied. It describes an overall work process or roadmap for the project. Methodologies can include Agile development, DevOps, Rapid Application Development (RAD), Scaled Agile Framework (SAFe), Waterfall and others.</li><li><span style=\"font-weight: bold;\">Gathering requirements</span> to understand and document what is required by users and other stakeholders.</li><li><span style=\"font-weight: bold;\">Choosing or building architecture</span> as the underlying structure within which the software will operate.</li><li><span style=\"font-weight: bold;\">Developing a design</span> around solutions to the problems presented by requirements, often involving process models and storyboards.</li><li><span style=\"font-weight: bold;\">Constructing code</span> in the appropriate programming language. Involves peer and team review to eliminate problems early and produce quality software faster.</li><li><span style=\"font-weight: bold;\">Testing</span> with pre-planned scenarios as part of software design and coding — and conducting performance testing to simulate load testing on the application.</li><li><span style=\"font-weight: bold;\">Managing configuration and defects</span> to understand all the software artifacts (requirements, design, code, test) and build distinct versions of the software. Establish quality assurance priorities and release criteria to address and track defects.</li><li><span style=\"font-weight: bold;\">Deploying</span> the software for use and responding to and resolving user problems.</li><li><span style=\"font-weight: bold;\">Migrating data</span> to the new or updated software from existing applications or data sources if necessary.</li><li><span style=\"font-weight: bold;\">Managing and measuring the project</span> to maintain quality and delivery over the application lifecycle, and to evaluate the development process with models such as the Capability Maturity Model (CMM).</li></ul>\r\nThe steps of the software development process fit into application lifecycle management.\r\n<ul><li>Requirements analysis and specification</li><li>Design and development</li><li>Testing</li><li>Deployment</li><li>Maintenance and support</li></ul>\r\nSoftware development process steps can be grouped into the phases of the lifecycle, but the importance of the lifecycle is that it recycles to enable continuous improvement. For example, user issues that surface in the maintenance and support phase can become requirements at the beginning of the next cycle.\r\n<span style=\"font-weight: bold;\">Why is software development important?</span>\r\nSoftware development is important because it helps businesses differentiate themselves and be more competitive. It can improve customer experiences, bring more innovative, feature-rich products to market faster, and make operations more efficient, safe and productive.\r\nSoftware development is also important because it is pervasive.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Software_Development.png","alias":"software-development"},"842":{"id":842,"title":"Chatbot Development","description":"A chatbot is a piece of software that conducts a conversation via auditory or textual methods. Such programs are often designed to convincingly simulate how a human would behave as a conversational partner, although as of 2019, they are far short of being able to pass the Turing test. Chatbots are typically used in dialog systems for various practical purposes including customer service or information acquisition. Some chatbots use sophisticated natural language processing systems, but many simpler ones scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database.\r\nThe term &quot;ChatterBot&quot; was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs. Today, most chatbots are accessed via virtual assistants such as Google Assistant and Amazon Alexa, via messaging apps such as Facebook Messenger or WeChat, or via individual organizations' apps and websites. Chatbots can be classified into usage categories such as conversational commerce (e-commerce via chat), analytics, communication, customer support, design, developer tools, education, entertainment, finance, food, games, health, HR, marketing, news, personal, productivity, shopping, social, sports, travel and utilities.\r\nBeyond chatbots, Conversational AI refers to the use of messaging apps, speech-based assistants and chatbots to automate communication and create personalized customer experiences at scale.\r\nThe process of building, testing and deploying chatbots can be done on cloud-based chatbot development platforms offered by cloud Platform as a Service (PaaS) providers such as Oracle Cloud Platform SnatchBot and IBM Watson. These cloud platforms provide Natural Language Processing, Artificial Intelligence and Mobile Backend as a Service for chatbot development.\r\nSome Companies like Microsoft Azure and AARC are currently providing their Bot Engines through which chatbot Platforms or Software can be developed.","materialsDescription":"New tools designed to simplify the interaction between humans and computers have hit the market: Chatbots or Virtual Assistants. 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The answer may be:\r\n<ul><li>a generic and predefined text;</li><li>a text retrieved from a knowledge base that contains different answers;</li><li>a contextualized piece of information based on data the user has provided;</li><li>data stored in enterprise systems;</li><li>the result of an action that the chatbot performed by interacting with one or more backend application;</li><li>a disambiguating question that helps the chatbot to correctly understand the user’s request.</li></ul>\r\n<span style=\"font-weight: bold;\">In what is the benefit of chatbots?</span>\r\nChatbot applications streamline interactions between people and services, enhancing the customer experience. At the same time, they offer companies new opportunities to improve the customer's engagement process and operational efficiency by reducing the typical cost of customer service.\r\nTo be successful, a chatbot solution should be able to effectively perform both of these tasks. Human support plays a key role here: Regardless of the kind of approach and the platform, human intervention is crucial in configuring, training and optimizing the chatbot system.\r\n<span style=\"font-weight: bold;\">Which chatbot application is right for you?</span>\r\nThere are different approaches and tools that you can use to develop a chatbot. Depending on the use case you want to address, some chatbot technologies are more appropriate than others. 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Smooch harmonizes disconnected software through the power of conversation, allowing businesses to enhance customer interactions using bots, AI, analytics and other third-party applications.\r\n<span style=\"font-weight: bold;\">Integrate and orchestrate</span>\r\nIntegrate all your products into Smooch's unified conversation pipeline, from sales to service to marketing clouds, and orchestrate how they access and contribute to any user conversation.\r\n<span style=\"font-weight: bold;\">Build an ecosystem of apps</span>\r\nFrom bots and sentiment analyzers to language translation and surveys, build an ecosystem of apps on top of Smooch that can contribute to and learn from every conversation.\r\n<span style=\"font-weight: bold;\">Manage bot-to-human handoffs</span>\r\nEasily enable bot-human handoffs within your software, regardless of whether the bot was built by you or a third-party.\r\n<span style=\"font-weight: bold;\">Make your bots smarter</span>\r\nImprove the conversational intelligence of your bots by leveraging insights from third-party sentiment analyzers, intent detectors, and other AI.\r\n<span style=\"text-decoration: underline;\"><span style=\"font-weight: bold;\">FEATURES:</span></span>\r\n<span style=\"font-weight: bold;\">Bot integration &amp; handoff.</span> Easily connect bots to your software.\r\nUse chatbots to triage and automate customer support interactions, looping in human agents at the right time, for the right customers.\r\n<span style=\"font-weight: bold;\">Language translation.</span> Automatically translate messages into other languages.\r\nAdd a translation engine to the conversation stream to serve international customers in their native tongue.\r\n<span style=\"font-weight: bold;\">Natural Language Understanding.</span> Augment messages with intent and sentiment data.\r\nIntegrate intent detectors and sentiment analyzers to give human agents and bots the context they need to personalize customer interactions.\r\n<span style=\"font-weight: bold;\">Third-party apps.</span> Trigger actions at the right time.\r\nAllow a third-party survey tool, eCommerce bot or any other interactive app to eavesdrop on the conversation and deploy on cue, armed with the context it needs to engage.","shortDescription":"Coordinate interactions between humans, bots and other software that don’t normally work together.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":6,"sellingCount":13,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Smooch Conversation Orchestrator","keywords":"","description":"Most enterprise business systems don’t play nicely with one another. 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Chatbots can be classified into usage categories such as conversational commerce (e-commerce via chat), analytics, communication, customer support, design, developer tools, education, entertainment, finance, food, games, health, HR, marketing, news, personal, productivity, shopping, social, sports, travel and utilities.\r\nBeyond chatbots, Conversational AI refers to the use of messaging apps, speech-based assistants and chatbots to automate communication and create personalized customer experiences at scale.\r\nThe process of building, testing and deploying chatbots can be done on cloud-based chatbot development platforms offered by cloud Platform as a Service (PaaS) providers such as Oracle Cloud Platform SnatchBot and IBM Watson. 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In banking, chatbots and virtual assistants are some of the industry’s newest tools designed to simplify the interaction between humans and computers.\r\n<span style=\"font-weight: bold;\">What is a chatbot?</span>\r\nA chatbot is artificial intelligence (AI) software that can simulate a conversation (or a chat) with a user in natural language through messaging applications, websites, mobile apps or through the telephone.\r\n<span style=\"font-weight: bold;\">Why are chatbots important?</span>\r\nA chatbot is often described as one of the most advanced and promising expressions of interaction between humans and machines. However, from a technological point of view, a chatbot only represents the natural evolution of a Question-Answering system leveraging Natural Language Processing (NLP). Formulating responses to questions in natural language is one of the most typical examples of Natural Language Processing applied in various enterprises’ end-use applications.\r\n<span style=\"font-weight: bold;\">How does a chatbot work?</span>\r\nThere are two different tasks at the core of a chatbot:\r\n<ol><li>user request analysis</li><li>returning the response</li></ol>\r\nUser request analysis: this is the first task that a chatbot performs. It analyzes the user’s request to identify the user intent and to extract relevant entities.\r\nThe ability to identify the user’s intent and extract data and relevant entities contained in the user’s request is the first condition and the most relevant step at the core of a chatbot: If you are not able to correctly understand the user’s request, you won’t be able to provide the correct answer.\r\nReturning the response: once the user’s intent has been identified, the chatbot must provide the most appropriate response for the user’s request. The answer may be:\r\n<ul><li>a generic and predefined text;</li><li>a text retrieved from a knowledge base that contains different answers;</li><li>a contextualized piece of information based on data the user has provided;</li><li>data stored in enterprise systems;</li><li>the result of an action that the chatbot performed by interacting with one or more backend application;</li><li>a disambiguating question that helps the chatbot to correctly understand the user’s request.</li></ul>\r\n<span style=\"font-weight: bold;\">In what is the benefit of chatbots?</span>\r\nChatbot applications streamline interactions between people and services, enhancing the customer experience. At the same time, they offer companies new opportunities to improve the customer's engagement process and operational efficiency by reducing the typical cost of customer service.\r\nTo be successful, a chatbot solution should be able to effectively perform both of these tasks. Human support plays a key role here: Regardless of the kind of approach and the platform, human intervention is crucial in configuring, training and optimizing the chatbot system.\r\n<span style=\"font-weight: bold;\">Which chatbot application is right for you?</span>\r\nThere are different approaches and tools that you can use to develop a chatbot. Depending on the use case you want to address, some chatbot technologies are more appropriate than others. In order to achieve the desired results, the combination of different AI forms such as natural language processing, machine learning, and semantic understanding may be the best option.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Chatbot_Development.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"suppliedProducts":[{"id":4073,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Smooch_logo.png","logo":true,"scheme":false,"title":"Smooch Conversation Orchestrator","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"smooch-conversation-orchestrator","companyTitle":"Smooch","companyTypes":["supplier","vendor"],"companyId":6222,"companyAlias":"smooch","description":"Most enterprise business systems don’t play nicely with one another. 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Chatbots can be classified into usage categories such as conversational commerce (e-commerce via chat), analytics, communication, customer support, design, developer tools, education, entertainment, finance, food, games, health, HR, marketing, news, personal, productivity, shopping, social, sports, travel and utilities.\r\nBeyond chatbots, Conversational AI refers to the use of messaging apps, speech-based assistants and chatbots to automate communication and create personalized customer experiences at scale.\r\nThe process of building, testing and deploying chatbots can be done on cloud-based chatbot development platforms offered by cloud Platform as a Service (PaaS) providers such as Oracle Cloud Platform SnatchBot and IBM Watson. 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Formulating responses to questions in natural language is one of the most typical examples of Natural Language Processing applied in various enterprises’ end-use applications.\r\n<span style=\"font-weight: bold;\">How does a chatbot work?</span>\r\nThere are two different tasks at the core of a chatbot:\r\n<ol><li>user request analysis</li><li>returning the response</li></ol>\r\nUser request analysis: this is the first task that a chatbot performs. It analyzes the user’s request to identify the user intent and to extract relevant entities.\r\nThe ability to identify the user’s intent and extract data and relevant entities contained in the user’s request is the first condition and the most relevant step at the core of a chatbot: If you are not able to correctly understand the user’s request, you won’t be able to provide the correct answer.\r\nReturning the response: once the user’s intent has been identified, the chatbot must provide the most appropriate response for the user’s request. The answer may be:\r\n<ul><li>a generic and predefined text;</li><li>a text retrieved from a knowledge base that contains different answers;</li><li>a contextualized piece of information based on data the user has provided;</li><li>data stored in enterprise systems;</li><li>the result of an action that the chatbot performed by interacting with one or more backend application;</li><li>a disambiguating question that helps the chatbot to correctly understand the user’s request.</li></ul>\r\n<span style=\"font-weight: bold;\">In what is the benefit of chatbots?</span>\r\nChatbot applications streamline interactions between people and services, enhancing the customer experience. At the same time, they offer companies new opportunities to improve the customer's engagement process and operational efficiency by reducing the typical cost of customer service.\r\nTo be successful, a chatbot solution should be able to effectively perform both of these tasks. 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