TrustBuilder.AI: fast, robust, and explainable deep learning

加拿大拥有无数的人工智能创业公司，目前在商业人工智能企业方面排名世界第五。然而，根据《麻省理工学院管理评论》（MIT Management Review）的一项调查，70%的受访公司表示，人工智能的影响很小或没有影响。市场上的主要差距是：(a)市场上开发的大多数人工智能原型还没有准备好投入生产（不能扩展到现实世界的需求），(b)他们还没有能够获得用户对人工智能产品的信任。该提案的目标是提供一个集成的软件解决方案（TrustBuilder.ai），通过结合来自RobustAI、MLOps和ExplainableAI领域的新技术，帮助人工智能企业克服这些挑战。该解决方案将适用于全球范围内的各种企业，从大型机器学习服务提供商到物联网、金融科技和医疗保健领域的中小企业。该工具对公司的ML开发人员、数据科学家和QA工程师以及执行经理和领域专家都很有用。

With a wealth of unlimited AI startups, Canada is now ranked fifth in the world for commercial AI-focused ventures. However, according to a survey by MIT Management Review, 70% of companies surveyed, report minimal or no impact from AI. The main gaps in the market are: (a) the majority of the AI prototypes developed in the market are not production-ready (not scalable to real-world demands) and (b) they have not been able to gain their users' trust on the AI product yet. This proposal's objective is to provide an integrated software solution (TrustBuilder.ai) that helps AI businesses overcome these challenges using a combination of novel techniques from RobustAI, MLOps, and ExplainableAI domains. The proposed solution will be useful for a wide range of enterprises from large-scale ML service providers to SME's in IoT, fintech, and healthcare, all around the world. The tool will be useful for both ML developers, data scientists, and QA engineers in the company as well executive managers and domain experts.