UiPath is creating a strong ecosystem of partners to help deliver increasingly efficient enterprise RPA deployment by ensuring that a rich marketplace of leading partner technologies can offer a powerful, pre-integrated, value-added function to the already highly successful UiPath solutions in place. "Conversational Natural Language engagement is a huge growth area for both personal and business use across the globe," said Boris Krumrey, Chief Robotics Officer of UiPath. "Speech and text driven access to initiate and operate robotic process automations is a new channel of user interaction to RPA using conversation. Humley has demonstrated how a virtual assistant can be deployed to support RPA management and build Voice or Chat User Interfaces which will help customers innovate in regards to the'how and where' they access robotic process automations. What we like about Humley is that it works with other leading technologies such as IBM Watson and Microsoft Cognitive Services."

Following on from my recent article, Artificial Intelligence and Real Estate: Can We Automate the Industry?, I've been talking to Angela Meadows, Senior VP of Client Development at Humley. They are one of the fastest-growing tech companies in the UK, concerned with harnessing cognitive computing to empower companies to access and implement an artificial intelligence platform within their business, whether this is to transform their customer service tools or business processes, or simply to enable the end-user to find and action solutions for themselves without the need or cost of human intervention. Historically, Humley began by creating experiences for network operators and handset manufacturers that allowed them to have on-device, ongoing, long term relationships with their customers via real-time communication personalised to the customer's context. The experience would help the customer easily set up their device (reducing customer service calls, thus reducing costs for the brand), as well as discover new exciting features about their device and/or network. They have now combined their contextual targeting with elements of artificial intelligence (powered by IBM Watson), that enables the end-user to ask questions in natural language and receive relevant answers, based on their individual context.