Abstract: Many enterprises found it challenging to scale AI solutions beyond pilots. The root cause of the challenges stem from the paradigm shift in how AI systems are built and work from the traditional systems. There are big gaps between AI algorithm frameworks on the market and enterprise scale AI systems; and between skill requirements and practice in developing AI systems and enterprise solutions. Talents that can bridge the gap are scarce. Wenju is a project at Futurewei that tackles such challenges. It is a platform that helps enterprises of any size to quickly and cost effectively build end-to-end AI solutions in hybrid and multi-cloud environments. The platform adds new architectural layers on top of existing technology stacks to address key requirements and concerns of enterprise AI systems, and provides components and new building blocks that empowers the development and operations team. It helps to reduce skills required to build AI solutions, while improving productivity by enabling end-to-end automation.
Bio: Changfeng Charles Wang is a technology consultant at Futurewei. He is also a serial entrepreneur and expert in AI & big data with over 20+ experience. His work spans across theoretical foundations, technology platforms, and real-world vertical applications surrounding machine learning and data. He is the founder of Boston Data Science, LLC, an AI and big data technology and strategy firm. Previously, he was the founder of Adelphic, an industry-leading mobile and cross-screen programmatic platform that uses AI to completely automate real-time advertising transactions, serving top advertising agencies and big brands across the globe. He began his career at Thinking Machines (Acquired by Oracle), where he built the world’s first commercial parallel Neural Networks and core Machine Learning platform. Other products that he built are now part of Apple (iAd), IBM (InfoSphere), Facebook (Atlas), and Nokia.