The first and foremost advantage of low-code development is the agility that it allows in business operations because a) it's quicker to build bots with pre-built modules and templates in a visual interface, b) employees, who are experts in their domains, can easily develop and refine their bots without the need to explain their ideas to others (coders). Research has shown low-code platforms can potentially reduce development time by up to 90%. Hiring skilled developers proves heavier on the cost side. Low-code solutions require little or no coding knowledge, so professional and citizen developers alike can quickly build and deploy any app, making it economically viable to create intelligent chatbots for different business use cases, including service desk management, IT helpdesk, HR automation, etc. Low-code app development platforms allow integration with various SaaS-based and on-premise enterprise systems, helping organizations get a single-window view of their data. Since low-code platforms enable domain/subject-matter experts to collaborate, develop, and customize their bots, they democratize innovation by not restricting it to a core team or group of individuals.

PVA is a low-code chatbot building tool with which you can build and deploy chatbots in the shortest time possible. This democratises the technology to non-technical users and reduces the dependency on IT expertise. Using PVA, powerful chatbots can be built using a guided, no-code graphical interface that can be deployed for sales, HR, finance, customer service and virtually on all channels where customers need to be engaged. Bot Framework and Azure Bot Service and Cognitive Services provide the technological foundation for Power Virtual Agents. A power business user can go from zero to a working bot in a matter of minutes!

An excellent Conversational UX is key to drive adoption and helps users reach their goal in the shortest time with maximum end-user experience. It enables bots to conduct human-like conversations. Machine learning algorithms enable chatbots to learn from previous conversations, and deliver better responses in the future. NLP is a technological process that allows chatbots to understand the meaning behind users' natural language inputs and then deliver relevant responses. The technology with which chatbots can analyze users' input text or voice and understand their emotions and gauge their mood.

A recent survey by Gartner predicts, "By 2021, 40% of new enterprise applications implemented by service providers will include AI technologies." The world of business is undergoing a massive change owing to the rapid emergence of artificial intelligence (AI) for enterprise applications. Indeed, artificial intelligence has the power to solve several organizational problems as it offers functionalities that humans cannot practically perform at the same rate and accuracy. AI has quickly changed status from a "technology to experiment" to a "technology to deploy." By 2025, most enterprises will be using AI-enabled apps to gain a competitive edge from streamline operations, more incredible product innovation, and improved customer satisfaction.

If you are wondering how to make your sales teams more efficient, leaner, highly predictable and motivated and reduce training costs, chatbots are the answer. This blog post will explore why. Chatbots are making headlines in the B2B marketing world as the next big thing to assist businesses in their efforts towards enhancing customer service. Artificial Intelligence (AI) bots are expected to transform how people and businesses interact with brands and services. Their ability to provide personalized and contextual responses via a chat interface on messaging apps like Facebook Messenger or Skype and through virtual assistants like Alexa, Cortana etc. without the constant need for involvement of human agents is touted to provide immense cost savings.

Conventionally, it required extensive knowledge, skill and substantial coding, support, maintenance, and manual work to build chatbots from the ground up. Large amounts of time and money expended into building chatbots ultimately did not seem viable or profitable. Time and resource intensive practices of developing chatbots has been a major impediment for smaller companies to effectively implement the technology along with a fierce competition for the scarce engineering talent pool to develop chatbots. The problem of finding niche expertise and the cumbersome process in building chatbots is being resolved by the uprise of no/low code chatbot platforms that allow businesses to enjoy the customer service benefits of chatbots without draining resources. There are several frameworks or software development kits (SDKs) readily available necessary to build intelligent bots that drastically reduce the amount of code required to build chatbots thus democratising the chatbot technology.

It is necessary that companies take concerted initiatives to develop comprehensive strategies that accommodate AI and prepare themselves for futuristic environments that are compatible with AI powered technologies. It is imperative for companies to act on these initiatives before any new market disruptors jeopardise the competitive edge the organization may hold in the industry. This demands the leadership of organisations to have a pragmatic and precise understanding about AI's capabilities and its trajectory into the future. Having a strong academic foundation and practical experience in AI among the leadership allows organisations to avoid misinterpretations and misleading myths about AI. Adopting AI just for just a few functional areas will be ineffective in making a great impact on the organization as a whole.

Artificial intelligence (AI) has mostly been an obsession for research departments and development shops. Recently, however, the potential business ROI for the enterprise community in the form of amplified customer/employee digital experience extended intelligent capabilities, reduced support costs have become clearer. From addressing simple FAQ's to making intelligent conversations, chatbots have progressed significantly in understanding and solving problems. While AI is becoming a new tool in the C-suite tool belt to drive revenues and profits, it has become clear that the deployment of chatbot encompassing specifics of business applicability stands critical. According to a study, 87% of CEO's and business leaders trust AI, but employees trust (33%) was cited as one of the greatest barriers to AI Adoption.

Before the advent of chatbot platforms, building a bot was a strenuous task and required sophisticated toolsets and advanced coding knowledge. A chatbot platform is a toolset or application used to conveniently build, train, deploy and manage custom AI chatbots for your enterprise.

A chatbot is a computer program or an artificial intelligence which conducts a conversation via auditory or textual methods. Chatbots are often designed to convincingly simulate how a human would behave as a conversational partner and are used for various practical enterprise use cases including customer service, IT helpdesk, HR or information acquisition (Business Intelligence). ABC Corp uses BotCore's AI chatbot which enables organizations to build and deploy customized AI chatbots. So, let us see how Nathan's life at ABC Corp. has been impacted by chatbots. Nathan has joined as a Marketing Manager.