We all know data runs the world. The question is, can you align insurance with data? Data has always been at the heart of insurance. Although the modern commercial insurance industry may have begun with premiums calculated over a cup of coffee, it has now embraced a long list of more sophisticated analytical techniques, ranging from statistics to generalized linear models. AI in underwriting is the new shiny object in town. Let's cover if there's any merit to the hype. AI/ML can help uncover new insights from previously underutilized data, including unstructured data like text, speech, and images. It allows for using additional data during underwriting that would otherwise be unavailable or very difficult to obtain. Throughout this article, we will understand the power of AI in insurance underwriting, the benefits of underwriting automation, the future of underwriting, and everything in between.

Over the last 6-12 months, the demand has really skyrocketed such that we're barely keeping up with the demand for people wanting to implement robots in their hospitals. That's the reason why we're raising this round of funding, expanding the team, and expanding our ability to capitalize on that demand. A couple of years ago, if we were working with a hospital it was because they had some special funds set aside for innovation or they had a CTO or a CIO that had a background in robotics, but it certainly wasn't the first thing that every hospital CIO was thinking about. Now that has completely changed. We're getting cold outreach on our website from CIOs of hospitals saying "I need to develop a robotic strategy for our hospital and I want to learn about your solution."

Intelligent Automation, the next step in digitized enterprise, is the use of Artificial Intelligence and other smart tools to automate various operations of a business. Its benefits and use in businesses are being recognized world over. Here's what Intelligent Automation is all about. Intelligent Automation is the incorporation of intelligent technology such as Machine Learning (ML), Deep Learning (DL), Intelligent Character Recognition (ICR), Natural Language Processing (NLP), Process Mining (PM), and Data Mining (DM) into an interconnected and interoperable process that enables automated learning and adaptation in all business activities. Intelligent Automation eliminates time-consuming labor, creates an efficient interface between humans and technology through applications such as chatbots, and evolves with use.

The future of healthcare relies on removing the robot from the human to focus on what matters most – the patient experience and mission-critical work of delivering care. Administrative processes are the backbone of healthcare operations, but they're inefficient, error-prone, and limit employee capacity. No industry stands to experience more return on investment from automation than healthcare. The familiar myth of robots stealing jobs is highly exaggerated, as the primary benefit of automation is not headcount reduction, but the ability to reassemble redundant tasks for maximum productivity. It's true, intelligent automation will reconfigure our jobs from the mundane, time consuming tasks, but that's exactly what's needed in healthcare.

OnviSource announced today it has started the deployment of its AI-driven solutions powered by its new proprietary Artificial Intelligence software, called iMachine . Company's solutions are able to utilize the most optimized AI engine pertinent to their specific application. For example, Company's Intelligent Virtual Agent or smart bot, called Liaa, primarily utilizes iMachine's NLP/NLU engine; while Intellecta multichannel analytics and Automata RPA products may use iMachine's ML and DL engines for a variety of their AI-driven features. Use of iMachine by Company's solutions in analytics, RPA and IVA significantly enhances their capabilities in effectively addressing today's enterprise and contact center challenges in workforce optimization, customer experience management and business process automation; as well as automating the management of enterprise contents. Content of calls, audio files, email, chat, text, and structured or unstructured documents can be analyzed by iMachine for discovering intent, purpose, compliance, categories, sentiment, root causes and complex information otherwise undetected by analytics that do not use AI engines.

"Business is going to change more in the next five years than it has in the last twenty" Is this book for you? Are you looking to start up an automation Centre of Excellence (CoE) in your company to start building automation solutions, or perhaps you want your new CoE to mature and grow. Read industry best practices and insights, to get high-level steps on how to best implement Intelligent Automation. This will improve your awareness on what's been happening in the industry and what may be to come in the near future. This will help you understand the dos, don't, myths, challenges, and benefits of automating your business processes, and give you a picture of what your team is doing …or should be doing.

So far, 2017 has been all about artificial intelligence – but what is intelligent automation? And what is the difference between artificial intelligence and intelligent automation? From Facebook chatbots and machine learning, lights out production lines, to the rise in robotics and IoT (Internet of Things) enabled supply chains, the maturity of artificial intelligence is creating a wave of excitement – and fear – across business. However, artificial intelligence cannot be considered in isolation. This is a technology, and it is the way in which this technology is deployed that has the opportunity to be truly transformative.