Lili: Financial Platform Delivers AI Driven Customer Value with Qwak MLOps
Lili is a business finance platform designed for small businesses. With business banking, smart bookkeeping, unlimited invoices & payments, and tax planning tools–business owners always know where their business stands.
Industry
Fintech
Use Case
Model Frameworks
Faster time to ML model deployment
Less issues in production
New models running in production within 4 weeks
Challenges
Implementing and operationalizing machine learning models at scale requires a robust infrastructure and efficient deployment pipelines. Lili’s research team uses AWS SageMaker for model exploration and development, leveraging its managed notebook capabilities. However when it get’s to deployment LiLi required a more comprehensive approach.
Implementation
Solutions
Qwak’s end-to-end MLOps platform provides a unified environment for data scientists, engineers, and business stakeholders to collaborate seamlessly and accelerate the development, deployment, and monitoring of machine learning models. Lili’s team have full visibility for all models and model versions sent to production via Qwak analytics and monitoring capabilities.
Data scientists now access and prepare data using Qwak's data ingestion capabilities, and integration with various data sources and real-time streaming. Qwak's automated feature engineering tools enable efficient feature selection and extraction, facilitating faster model development.Hosted on AWS, Qwak allows a scalable and reliable infrastructure to support Lili’s growing needs.
Learn from our AI and ML experts in this recorded session
