Artificial intelligence (AI) and machine learning capabilities have been instrumental for streamlining and optimizing customer service operations. What are the benefits of adopting chatbots for customer service? Read Find answers to this question by Fang XU, AI expert at the Deutsche Telekom. Read more here.
How can data generated by Machine Learning be used to make predictions? Find an answer to this question by reading the report “Enterprise ML- Machine Learning (ML) from start to scale”, produced by the Intelligent Automation Network.
Robotic process automation (RPA) doesn’t sneak up on many people anymore. Find out about the challenging drivers for 2020 by reading our interview with Nina van Krimpen from Akzo Nobel N.V. and Lukasz Opoka from UBS.
A vast majority of organisations are struggling to secure value from their Intelligent Automation (AI) activities. How to overcome challenges and how to find opportunities when implementing IA? Find answers to these questions in our interview with Maria Salvatore, Director of Finance at BMI Group and Josef Litt, Director Digital & Innovation at BMI Group.
Companies integrate intelligent technologies to re-imagine their travel and expense processes. Artificial intelligence and Machine Learning are used to improve visibility and control of travel spend before it is booked. Learn how Innogy automates its travel and expense management process.
Chatbot automation is a popular integration, as various organizations are looking to streamline their customer service capabilities. Learn how Siemens integrates chatbots with RPA technology through real use cases by reading the presentation by Nikolas Barth, Head of Digital Lab, Global Business Services.
Read in our report about the challenges Wojciech Tatys, Transformation and Ops Excellence Lead at Discovery Inc. experienced during the implementation of RPA.
Robotic process automation (RPA) continues to gain pace globally and recent industry successes make this a good place to start your journey to fully embrace artificial intelligence (AI). Read in the interview with Professor Roger Halliday, Chief Statistician & Data Officer at the Scottish Government and Dr. Bogdan Pirvu, Head of Data Science at Novomatic AG how organizations can take the next step in the automation journey.
Advances in artificial intelligence (AI) have led to a widespread acceptance of AI-infused assistants. The relentless pace of innovation comes with an increased uncertainty about where the technology is headed and how it will impact society. Read in our article by Seth Adler, Editor of the AI Network, how advances in AI will make conversational capabilities of computers more sophisticated, paving the way for a sea change in computing.