This survey report provides insights about customer sentiment on current processes and products being offered, interactions with various stakeholders and also gauges their attitude towards sharing additional information with insurers
The Consumer’s Pulse: Perspectives on Life & Health insurance
Resources on delivering speed, achieving scale and charting a route to institution wide automation
This Whitepaper explores the current AI adoption in financial services, the ‘black box’ problem with AI and how explainability helps resolve the trade-off between accuracy, automation and being compliant
AI Explainability Framework in Financial Services: The Trust Imperative
Explore some of the use cases of AI and deep learning technologies in insurance, applications of AI and ML technologies and provides guidance for adoption of these technologies.
Whitepaper
Deep Learning in Insurance: Driving Transformation to the Next-gen
‘Arya APIs’ is a curated library of AI APIs which can help to automate and/or augment core resource-intensive workflows. Available as lego-like modules, the APIs can be easily ‘plugged’ into the applications. You can combine them to create a complex solution or use them independently.
This workshop will provide a blueprint on building an effective, AI-led API strategy for customer verification and onboarding journey.
What you will Learn:
- API fundamentals - Dynamics, strategies, challenges - Reimagining workflows in the API era - Details on Arya APIs - Business cases and examples of successful API-led strategies - How to combine AI APIs to automate KYC, client verification and onboarding
Automate underwriting decisions to deliver real time quotes and issuance
Arya.ai has innovated a state-of-the-art framework, ‘Arya-xAI’ to offer transparency, control and Interpretability on Deep learning models. This whitepaper explores the explainability imperative, overview of current XAI methods and their challenges and details on Arya-xAI framework.
Arya-xAI: Accelerating the path to ML transparency