If you have tried your hands on building chatbots to handle customer support, you know that it’s not as easy as it seems. You probably have already spent significant resources on building one or have experienced negative customer feedback.
Why? That’s because of the following 3 challenges:
There’s a better way to tackle the above challenges. Join this webinar on Thursday, October 31 to learn how you can utilize artificial intelligence to help you get over these chatbot hurdles.
Dr. Bin Zhao is Vice President of Machine Learning, at Petuum, where he leads a team of machine learning engineers and software engineers creating the next-gen RPA+AI solutions, Neurobots. Dr. Zhao has 14 years of R&D experience in machine learning. Zhao’s expertise covers large scale machine learning, computer vision, optimization, statistics, and data mining, with more than 20 publications in top ranked computer science journals and conference proceedings. He has a Ph.D. in machine learning from school of computer science at Carnegie Mellon University, Master of Science from Carnegie Mellon University, Master of Science and Bachelor of Science from Tsinghua University, the top ranked university in China. Zhao has served as Program Committee member and reviewer for top ranked computer science conferences and journals, such as IEEE PAMI, TKDE, DMKD, ICML, NIPS, ICCV, ECCV, CVPR, BMVC, etc.
Petuum is the leading provider of innovative industry solutions using the most advanced artificial intelligence technologies that have been out of reach for most businesses. Petuum’s solutions combine powerful technology, world-class talent and customer domain-specific knowledge to solve complex real-world challenges in a simple, cost-effective manner. These are operationalized on the Petuum Symphony AI platform, which delivers distributed and parallelized data processing as well as machine learning and deep learning workflows, at scale in every environment.