Businesses can now use conversational AI to automate customer-facing touchpoints everywhere -- on social media platforms like Facebook and Twitter, on their website, their app or on voice assistant devices. Industry giants like Apple, Amazon, Baidu, Facebook, Google, IBM and Microsoft are investing large resources to drive AI progress. And though it's still relatively new among enterprises, by 2021 Gartner predicts 25% of enterprises across the globe will have a virtual assistant to handle support issues. If your organization is not yet familiar with conversational artificial intelligence, it is a set of technologies that enable computers to simulate real conversations. According to Georgia Partners, conversational AI refers to the use of messaging apps, speech-based assistants and chatbots to automate communication and create personalized customer experiences at scale.
Artificial intelligence (AI) in the workplace is revamping many processes both in service and production. It is redesigning whole industries and transforming our economy. From how we interact with brands as customers to how we carry out hiring processes and execute tasks, AI technology in the workplace is driving digital transformation. Leadership in the digital age requires a solid understanding of the prominent role that task automation will play in the years to come. By complementing human labour, machines are contributing more and more to productivity and, to economic growth.
Conversational AI tools or chatbots have come a long way from error-prone level-1 support to becoming a widely used tool in banks' automation and AI strategies. Today, chatbots in banking are being used by Wells Fargo, Capital One Bank of America, HDFC Bank, HSBC, CBA, and many other leading global banks. The contribution of these chatbots is noteworthy. Consider this: Bank of America's chatbot Erica has served over 35 million customers, and HDFC's EVA engages in over 20,000 conversations every day. The overall impact and growing importance of intelligent chatbots can be understood if we look at the report from Gartner, which suggests that by 2020, customers will prefer to resolve 85% of their problems with an enterprise without interacting with support staff.
Robotic process automation (RPA) has emerged as the leading approach to automate tasks in business processes. Moving away from back-end automation, RPA automated the mouse-click on user interfaces; this outside-in approach reduced the overhead of updating legacy software. However, its many shortcomings, namely its lack of accessibility to business users, have prevented its widespread adoption in highly regulated industries. In this work, we explore interactive automation in the form of a conversational digital assistant. It allows business users to interact with and customize their automation solutions through natural language. The framework, which creates such assistants, relies on a multi-agent orchestration model and conversational wrappers for autonomous agents including RPAs. We demonstrate the effectiveness of our proposed approach on a loan approval business process and a travel preapproval business process.
Enterprise chatbots are essentially developed to cater to the customer queries. What if your enterprise chatbot could have superpowers? RPA and AI capabilities offer just that! Chatbot, RPA, and automation are the latest buzzwords in the AI enterprise ecosystem, and unless you'd been living under a rock, you'd have come across them by now. Chatbots are common through cross-industries.