Auto ML-The Future of AI

The key challenge in making AI technology more accessible to the broader community is the scarcity of AI experts. Most businesses simply don’t have the much needed resources or skills for modeling and engineering. This is why automated machine learning and deep learning technologies (AutoML and AutoDL) are increasingly valued by academics and industry. The core of AI is the model design. Automated machine learning technology reduces the barriers to AI application, enabling developers with no AI expertise to independently and easily develop and deploy AI models. Automated machine learning is expected to completely overturn the AI industry in the next few years, making AI ubiquitous.

Speaker: Ning Jiang

Ning is CTO of OneClick.ai, a leading platform in automating deep learning model design and deployment. Ning has over 15 years of experience in Machine Learning across multiple industries, including web/entity search, search ads, online retail, and cyber security. His was a senior manager at Microsoft responsible for Bing Maps Autosuggest, and managed Bing Local Search in France and Italy and the Restaurant segment. Before this, he led the development of Bing Ads relevance platform and algorithm improvements, delivering paid search experience in both Bing and Yahoo!. Ning also had experience in developing malware detection and spam detection algorithms during his tenure with China’s top security firm.