Ji Li, Author at Insurance Thought Leadership




Ji Li

Ji Li

Ji Li, data science director at Clara Analytics, has leadership responsibility for organizing and directing the Clara data science team in building optimized machine learning solutions, creating artificial intelligence applications and driving innovation.

Dr. Li is well-published in fields related to computational theory and big data applications. His specific expertise and interests include machine learning, deep learning, text mining and natural language processing and understanding.

Dr. Li received his Ph.D. in mathematics from the University of Connecticut.

Recent Articles by Ji Li

Commercial Claim’s Journey With AI

Across commercial insurance, from auto liability to workers’ compensation, claims that involve a bodily injury tend to follow a common life cycle from the moment a claim is opened until the date it is resolved. As claims evolve through stages in this journey, a growing set of data gets added to the claim file, pulled from bills, […]

The Emergence of AI-as-a-Service

Software-as-a-service (SaaS) has become part of the tech lexicon since emerging as a delivery model, shifting how enterprises purchase and implement technology. A new “_” as a service model is aspiring to become just as widely adopted based on its potential to drive business outcomes with unmatched efficiency: artificial intelligence as a service (AIaaS). The […]

Predictions for AI Adoption in 2020

AI-based technologies reached a new level of adoption in 2019 as businesses learned more about what exactly AI could do for them. 2020 promises to be even more exciting, with AI systems continuing to mature and companies extending usage and applications to address highly specialized needs. In the year ahead, organizations will be empowered to […]

Conundrum Facing Commercial Insurance

Artificial intelligence (AI) seemingly has been discussed everywhere over the last few years, and now it’s made its way into the commercial insurance industry. Organizations are using AI and machine learning for everything from streamlining operations to offering more personalized care and better customer service. There is an increasing sense of urgency about getting started […]

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  • Claims Management
  • Innovation & Technology
  • Property/Casualty
  • Workers Compensation
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