JLL: Real estate leader introduces ML services to uncover investment opportunities and deliver rent prediction and valuation
JLL, a global leader in real estate services, pioneers technology-driven innovation to transform the industry. The company invests in diverse real estate assets and serves clients across various sectors, aligning with a long-term commitment to benefit its people, clients, and communities.
Challenges
Manual Model Training and Tracking: Model training and the process of tracking experiments demanded extensive manual intervention. JLL urgently required an integrated platform for streamlined tracking of model experiments.
Inefficient Batch Inference: Inference batch requests had to be executed hundreds of times daily. Each request's long processing time hampered the pace of development projects.
Lack of Infrastructure for Online Models: As the team ventured into creating new models necessitating online serving, JLL found itself without the requisite infrastructure to support these models on a large scale.
Implementation
Solutions
Centralized Experiment Tracking: Qwak provided JLL's team with a unified platform, facilitating centralized model experiment tracking. It also allowed for the creation of a version repository for swift comparison across different versions.
Enhanced Batch Execution: With Qwak's Inference, batch execution became 10 times faster than our previous solution. This rapid execution capability not only saved significant engineering time but also proved cost-effective.
Scalable Real-Time Model Deployment: Qwak equipped JLL with the tools to design novel models and seamlessly deploy them as real-time models, even on a large scale.
Learn from our AI and ML experts in this recorded session
