Best Bot Platform Software

Visionary leaders in Bot Platform Software market are the leading market players in terms of new developments such as product launches, innovative technologies, and the adoption of growth strategies. These players have a broad product offering that caters to most of the regions globally. Visionary leaders primarily focus on acquiring the leading market position through their strong financial capabilities and their well-established brand equity.

Innovators in the competitive leadership mapping are vendors that have demonstrated substantial product innovations as compared to their competitors. The companies have focused on product portfolios. However, they do not have very strong growth strategies for their overall business, when compared with the visionary leaders.

Dynamic Differentiators in Bot Platform Software market are established players with very strong business strategies. However, they have a weaker product portfolio compared to the visionary leaders. They generally focus only on a specific type of technology related to the product.

Emerging companies in Bot Platform Software market have a niche product and service offerings. Their business strategies are not as strong as that of the established vendors. The emerging vendors include the new entrants in the market, emerging in terms of product portfolio and geographic reach, and require time to gain significant traction in the market.

Enterprises use bot frameworks and bot platforms for developing and deploying bots on various communication channels, such as websites, mobile applications, social media platforms, and contact centers. Enterprises are widely adopting bot services to provide more effective and efficient customer services. A number of bots are available in the market for end-users to address and deal with customer queries. Bots are identified by various names, such as chatbots, intelligent personal assistants, virtual assistants, chat agents, and virtual agents.

FRAMEWORK

A bot framework is a platform for developing bots, including building, connecting, testing, and deploying them. Bot frameworks comprise Software Development Kits (SDKs) built over different APIs and operational on several platforms, such as ASP.NET, Node.js (JavaScript), motion.ai, and REST. Bot frameworks provide highly integrated tools that help bot developers in tackling problems, such as language and dialog skills, user connectivity, and basic input/output modules. The SDKs used to build bots enable developers to register, connect, and manage the bots through diagnostic tools and a webchat controller embedded in the web page. Bot frameworks enable easy deployment across various popular channels, such as Facebook Messenger, Skype, Slack, Kik, Twilio, conventional Short Message Service (SMS), email, Bing, Cortana, Siri, and Google Now. Bot-building SDKs usually provide samples and tools that can help in debugging the bots and evaluating their efficiency.

Some of the basic elements of bot frameworks are NLP, machine-learning algorithms, speech recognition, image recognition, and artificial neural network, which sum up the entire AI ecosystem. Bots are considered to be one of the prominent entities that consolidate the AI components. Companies such as Microsoft, Facebook, and Google offer a variety of frameworks as per the end-user requirements, thus incorporating the entire AI ecosystem. Microsoft offers one of the most well-known and impressive bot integration frameworks which have been deployed across various platforms. In addition, the company also offers the Platform as a Service (PaaS) option on Microsoft Azure for bots.

NATURAL LANGUAGE PROCESSING (NLP)

NLP allows human-to-computer interaction; it analyzes and understands both spoken and written forms of human languages. Thus, it assists machines in understanding the language in which humans communicate (both reading and writing), and formulating basic and advanced levels of interactions with humans. This form of communication enables computers to perform various other additional tasks, such as processing of enormous amounts of data by utilizing NLP for information retrieval, information extraction, automatic summarization, and machine translation and dialog systems. Along with this, computational machines are also capable of executing enhanced sentiment and behavioral analysis to provide business organizations with more effective informational insights. Speech and text recognition are also prominent elements of NLP. Language Understanding Intelligent Service (LUIS.ai) is one of the well-known NLP components developed by Microsoft.

MACHINE LEARNING

Machine learning is a computing technology that enables computers to explore, learn, and modify their analytical functionalities when exposed to new data sets, without being explicitly programmed. It is also used to capture data and subsequently run discrete modelers to create patterns for processing, analysis, and interpretations, which are required for real-time decision-making.

ARTIFICIAL NEURAL NETWORK

An artificial neural network is a computing system that comprises a number of interconnected processing nodes, which work on non-linear statistical data modeling. These networks use the biological approach of the artificial neural networks through self-learning algorithms, thereby providing solutions for various complex problems through several iterations/layers.

BOT ANALYTICS

Apart from AI-driven technologies, bot framework providers also offer other tools, which include bot analytics and chat flow analyzers. Some framework providers offer homegrown chat analytical tools; however, independent standalone companies also provide such solutions. These companies also work with framework providers to analyze the performance of bots.  

PLATFORM