There is a proliferation of products being labeled as smart personal assistants, including Siri, Amazon Echo and Google Assistant. However, currently, such assistants are quite limited, and are able to carry out interact with users on a small number of topics.
In this talk, I will present some of the technologies underlying these assistants and present the challenges associated with making them more intelligent. I will also present a technology being developed in IBM for creating much more advanced assistants - assistants that are personalized, proactive as well as reactive, and portable, i.e., are able to follow the user around to wherever he goes. I will also discuss some of the implementation details underlying this technology.
Dr. Segev Wasserkrug is a Senior Technical Staff Member at the IBM Haifa Research Lab, and the technical leader of the Cognitive IoT work in the IoT and Mobile Platforms Area in the lab. Segev has over fourteen years practical experience in leading, developing and applying advanced optimization and analytical techniques to customer problems in a varietyof domains, including workforce, logistics, scheduling, and water and wastewater operations. Over the past two years, Segev has worked on enhancing IoT and Mobile driven solutions with cognitive capabilities, focusing on automated reasoning, semantic knowledge representation, and natural human/machine interaction.
Segev has a strong background in a variety of areas including probabilistic reasoning, machine learning, optimization, simulation, stochastic modeling, and computer science. Segev received his Ph.D. in information systems engineering, and his M.Sc. and B.A.in computer science from the Technion - Israel Institute of Technology. Segev has numerous academic publications and patents.