Japan's leading P&C insurance company, Sompo Japan Nipponkoa, improved their customer call centers with AI speech recognition technology. The insurance company chose NTT Communications' ForeSight Voice Mining System for their advisor support platform. The technology uses NTT Group's voice mining system and the corevo AI engine to transcribe audio-to-text conversations and pull up relevant FAQs to help advisors assist customers. See how the system helped Sompo Japan Nipponkoa cut assistance time by one third.
John Schrom is an Epidemiologist by training, a Data Scientist by occupation (at Practice Fusion), and a PhD student by hobby. His interests primarily revolve around finding utility in social data, the application and representation of health data, and general data mining and machine learning techniques.
I think we can all agree on the fact that split testing is an effective method to find out what works best and get more out of your existing traffic. It's extremely useful since it can be applied to a number of different things: subject lines and content of emails, landing pages, home pages, creatives for ads and the list goes on. Also, you can find articles, case studies on split testing for almost anything, except drip campaigns. It's because experimenting with automated emails takes a lot of time and preparation. It is nearly impossible and too technical with most marketing automation tools. In this article, you can find an easy to understand explanation of AI-powered optimization with an example email course where the subject lines are tested and optimized. Increase your open rate with machine learning in your drip campaigns!
Rychtyckyj, Nestor (AAAI) | Raman, Venkatesh (Ford Motor Company) | Sankaranarayanan, Baskaran (Indian Institute of Technology Madras) | Kuma, P. Sreenivasa (Indian Institute of Technology Madras) | Khemani, Deepak (Indian Institute of Technology Madras)
For over twenty-five years Ford Motor Company has been utilizing an AI-based system to manage process planning for vehicle assembly at its assembly plants around the world. The scope of the AI system, known originally as the Direct Labor Management System and now as the Global Study Process Allocation System (GSPAS), has increased over the years to include additional functionality on Ergonomics and Powertrain Assembly (Engines and Transmission plants). The knowledge about Ford's manufacturing processes is contained in an ontology originally developed using the KL-ONE representation language and methodology. In this article, we will discuss the process by which we re-engineered the existing GSPAS KL-ONE ontology and deployed semantic web technology in our application.
March 29, 2017 -- Interop ITX, the independent conference for tech leaders, today announced new artificial intelligence (AI) components created to further the education of its IT community. This year's event will explore both the education and practical application of AI through the all new Data & Analytics track, AI Theater and Demo Showcase, and The Future of Data Summit. AI content will explore a range of areas from business strategy and case studies, to specific tasks and application usage.