QUANTIPHI The second layer focuses on process automation, particularly targeting document-intensive workflows.
Insurance claims processing, medical claims adjudication and mortgage application handling are prime examples where AI can automate entire workflows from initial document digitisation through to final decision-making.
The deepest layer creates sophisticated AI systems trained on institutional knowledge that can perform complex reasoning tasks traditionally requiring human experts.
These“ digital savants,” as Kanishk describes, can perform complex reasoning tasks that traditionally required human experts, drawing insights from billions of pages of patents, research documents and accumulated organisational wisdom.
Kanishk’ s own journey to product leadership has evolved alongside AI. He began as a Ruby on Rails developer before progressing through data engineering and Geographic Information Systems work. His path through traditional ML eventually led to Natural Language Processing( NLP), the technology enabling computers to understand and generate human language.“ What brought me to Quantiphi six years ago was the realisation that the founding team had created something extraordinary,” he reflects.
“ They had built an AI-first company in 2013 – years before the current AI revolution.” technologymagazine. com 63