In healthcare industry, providing accurate and efficient treatment to patients is of utmost importance. However, doctors and clinicians often face challenges in prescribing the most appropriate medications and services for various patient concerns. This case study focuses on developing a Product Recommender application to address these challenges and enhance the prescription practices of doctors, ultimately improving patient care and increasing revenue for the organization.
The success of many organizations today relies heavily on the uptime of their critical applications. However, maintaining optimal uptime can be challenging, especially for organizations with large, complex IT environments. This case study outlines how a big data approach leveraging machine learning algorithms was used to improve the uptime of critical applications and generate significant cost savings for a customer.
iLink helped one of the top pet veterinary hospital chains in the United States to develop a predictive model for forecasting the demand for Doctor of Veterinary Medicine (DVM) needed to treat patients.
The client, a leading Public Sector Bidding Marketplace based in Seattle, needed a digital makeover.
The client, a leading Public Sector Bidding Marketplace based in Seattle, needed a digital makeover.
The client, a leading Public Sector Bidding Marketplace based in Seattle, needed a digital makeover.
The client, a leading Public Sector Bidding Marketplace based in Seattle, needed a digital makeover.
Our client started Cloud journey couple of years ago, They had multiple challenges with Cloud technology and following are the few of the issues listed Cloud best practices
The client is an Indian & U.S. based market research and consulting company, that provides Syndicated research reports, Customized research reports, and consulting services. They also offer market intelligence studies ensuring relevant and factbased research across a range of industries including chemicals, materials, energy, healthcare, and technology.
