The Rise of Artificial Intelligence in Insurance · The Rise of Artificial Intelligence in...
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The Rise of Artificial Intelligence in Insurance
September 26th, 2018
An overview of where we are and where came – hype vs reality
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Exiger is a global regulatory and financial crime, risk and compliance company. Exiger arms financial institutions, multinational corporations and government agencies with the practical advice and advanced technology solutions they need to analyze and respond to risk, remediate major issues and monitor ongoing business activities. Dan Adamson is Exiger’s global head of cognitive computing, and is an expert on vertical search and cognitive computing, with more than 15 years in the industry. He helped launch Bing, Microsoft’s search engine, and holds several search algorithm and cognitive computing patents, has been named among the most influential “must-see” thought leaders in AI and Fintech, in addition to being a recipient of numerous academic awards, and holds an MSc from U.C. Berkeley.
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1980’s Expert Systems
2010 Machine Learning
and Big Data
2018 Deep Learning
The Rise of Artificial Intelligence… again
1960’s Stuff of SciFi
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The Rise of Big Data
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Deep Visual-Semantic Alignments for Generating Image Descriptions - Andrej Karpathy Li Fei-Fei http://cs.stanford.edu/people/karpathy/cvpr2015.pdf
Algorithms, data and processing power can now surpass humans on many image classification problems
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Blausen.com staff (2014). "Medical gallery of Blausen Medical 2014". WikiJournal of Medicine1 (2). DOI:10.15347/wjm/2014.010. ISSN 2002-4436.
So where do we go from here?
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Explainabilty in practice
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Blausen.com staff (2014). "Medical gallery of Blausen Medical 2014". WikiJournal of Medicine1 (2). DOI:10.15347/wjm/2014.010. ISSN 2002-4436.
Modular Networks: Interweaving Intelligence
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Reinforcement Learning
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Expert Systems Machine Learning
Reinforcement Learning
Deep Learning
Short and Long Term Memory
Explainers
Modular Networks
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template-based systems open-context frameworks
Real World Example: Chatbots
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AI Assistants
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Summary of recommendations: 1. Actually, the same rules apply (AI… is math) 2. Explainability should be a requirement 3. Reproducibility may be a requirement 4. …and good business practice