Hospitality and human instructiveness are essential in connecting with consumers. Few would rather talk to a robot caller to handle their issue than a genuine human being. Additionally, customers typically dislike waiting for a representative for extended periods. And personnel sorting through enormous volumes of calls might produce a massive workload. Conversational AI can be used in a variety of organizations to attend to the needs of specific customers to lessen this issue and increase efficiency.

Startup Kore.AI Inc. said today it's making its "low code" conversational artificial intelligence tools available on a pay-as-you-go basis, expanding their availability to smaller businesses. Backed by Nvidia Corp., Kore.AI offers tools that can be used by companies to easily build AI chatbots or virtual assistants for customer support. The key thing about its tools is that they're low code, meaning users can build chatbots and AI assistants using a visual dashboard, with minimal coding required. That helps companies that lack expertise in AI to build chatbots quickly that can be embedded into their websites or applications, so they can deal with common customer queries. Kore.ai says its Experience Optimization Platform can be applied to various use cases.

Learn more about what comes next. Kore.ai, a no-code automation platform designed for enterprise applications, today announced that it raised $50 million in a series C round led by Vistara Growth and PNC with participation from Next Equity Partners, Nicola Wealth, and Beedie Capital, along with $20 million in debt from Sterling National Bank. The funds, which bring Kore's total raised to over $100 million to date, will be put toward expanding the company's workforce while developing new product features, according to cofounder and CEO Raj Koneru. In 2015, just 10% of organizations reported that they either already used automation technology or would be doing so in the near future. Fast forward to 2019, and that number rose to 37% -- which means that more than one in three organizations are either using AI or have plans to do so.

Unlike humans, conversational artificial intelligence (AI), most commonly deployed today via chatbots, are "up" 100% of the time. Beyond chatbots, automated voice response systems (as annoying as they may still be) and virtual voice assistants all utilize conversational AI to power human-to-machine dialog. Conversational AI is the technology that allows users to ask queries to a machine and get automated responses. The most notable of these machines are the virtual assistants such as Alexa, Siri, and Google Assistant. At the heart of Conversation AI, is the utilization of Natural Language Processing (NLP).

Raj is building his fifth company, a conversational AI platform and solutions venture. I really like the PaaS strategy. Sramana Mitra: Let's start by introducing our audience to yourself as well as the company. Raj Koneru: I'm the Founder and CEO of Kore.ai. I've been an entrepreneur for about 25 years. Prior to this, I built about five companies, starting with an IT services company. The first two companies went public. The latest company that I built is called Kony, which is an enterprise mobile application platform. Sramana Mitra: We know Kony well. We've covered Kony. Raj Koneru: About six years ago, I decided to build this company called Kore.ai. This is a fast-growing company in the conversational AI space, which helps large enterprises automate their interactions with their customers, employees, and partners. Sramana Mitra: If you could start us off with a bit of an ecosystem map of the conversational AI space, that would be great. It is not a crowded

So you're interested in AI? Then join our online event, TNW2020, where you'll hear how artificial intelligence is transforming industries and businesses. The coronavirus pandemic has clearly accelerated our dependency on technology, online activities, and artificial intelligence. AI is particularly important for businesses as it enables personalized services on a massive scale, and customers are increasingly demanding it. However, not every company has the knowledge or the tools to implement AI, nor do they know what is required from them to become AI-driven. In this post, I will discuss what options these companies have.

The coronavirus pandemic has clearly accelerated our dependency on technology, online activities, and artificial intelligence. AI is particularly important for businesses as it enables personalized services on a massive scale, and customers are increasingly demanding it. However, not every company has the knowledge or the tools to implement AI, nor do they know what is required from them to become AI-driven. In this post, I will discuss what options these companies have. It is important to note that while many of the methods described below assist no-coders, they are also suitable for developers, who can enjoy the extra development speed they bring in.

Join us as we bring #AI #chatbots to the enterprise.

Chatbots drive productivity and save time. A lot depends on how the chatbot is designed. A well thought out conversation design is key to make the bot perform as per expectations. Enterprises have complex requirements such as multilingual capabilities, natural language understanding, machine learning and other concepts that are needed to satisfy bot users. This infographic outlines the important elements of developing an efficient chatbot.

IT helpdesk is an interesting use case. Think about the number of requests - both basic and complex - that are addressed to your IT personnel. It has been found that integrating AI-powered chatbots into your IT Service Management function saves a lot of time for your employees and IT staff, and increases the overall productivity of the workforce. This infographic outlines the advantages of a bot that leverages machine learning and NLP to identify and answer routine support requests and incident management issues. So before implementing a chatbot, know why your IT helpdesk needs one?