A leading US pharmaceutical firm aimed to shift from on-premises infrastructure to a centralized cloud data ecosystem.
Read MoreEarly and accurate disease prediction is paramount in the race for groundbreaking medical advancements. A leading pharmaceutical company is at the forefront of this pursuit,
Read MoreDiscover how a leading global pharmaceutical company leveraged AWS SageMaker and Amazon QuickSight to gain patient insights, predict cancer stage and nature, and deliver targeted medications, addressing complex data requirements and regulatory compliances.
Read MoreDiscover how a global Canadian retailer modernized its data management and BI reporting infrastructure using AWS QuickSight, building end-to-end data pipelines, data lakes, data marts, and dashboards across various business functions.
Read MoreA fashion retailer with an omnichannel presence leveraged AWS glue to simplify data migration and reporting by eliminating the need to rewrite existing ETL jobs and standardize reports.
Read MoreTiger Analytics predicted readmission risk and length of stay using logistic and linear regression models.
Read MoreTiger Analytics’ MLOps roadmap optimized a health insurer’s model migration, detailing resources and lifecycle PoC.
Read MoreTiger Analytics helped a US healthcare firm deploy AI for optimal inventory predictions via cabinet use.
Read MoreTiger Analytics developed a fully centralized and robust cloud ecosystem using AWS Data Lake and Snowflake Cloud Warehouse.
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