Visionet's AI-powered solution revamped a leading insurer's data platform, boosting efficiency, security, and scalability while delivering cost savings and end-to-end visibility.
The client is a leading life insurance provider, delivering its services to millions of customers. Their aim is to ensure financial security worldwide through their comprehensive range of offerings.
A leading pharmaceutical company faced challenges in streamlining data from multiple sensor devices provided by different manufacturers to measure drug efficacy. Visionet proposed an intelligent sensor data platform that standardized analytical schema, provided an ingestion layer for variety of sensors and an AI framework.
The pharmaceutical company needed to harmonize and join data from multiple sensors to get a bigger picture and measure the impact of a drug on various physical activities.
The client is a leading global luxury apparel and accessories brand best known for creating elevated yet understated pieces for every day effortless style.
In recent years, the client encountered recurring ransomware attacks. They lacked a centralized log management platform and had never subjected their infrastructure to penetration testing. Moreover, due to a shortage of qualified IT personnel, the client couldn’t review security events.
The client, headquartered in North America, is a prominent pharmaceutical company.
The client sought to optimize its pipeline management process and encountered several challenges. These included insufficient data orchestration management, the absence of incident or release management standard operating procedures (SOPs), and a data ecosystem lacking proactive monitoring.
The client was looking for a partner who could enhance operational governance efficiency and reduce deployment time.
The client is a prominent retail player specializing in mattresses and accessories and has over 2,400 stores across the US.
The client operated in a highly competitive landscape where accurate forecasting of customer demand, store footfall, and revenue was vital. However, evolving preferences and market trends made accurate predictions challenging, leading to unreliable forecasts. Furthermore, reliance on manual models hindered precision and the implementation of a time-series forecasting model.
The client is a prominent retail player specializing in mattresses and accessories and has over 2,400 stores across the US.
Explore enhanced research experiences with Visionet & Google Cloud. AI-driven video summaries ensure effortless discovery and personalized recommendations.
The client provides platform and software services to help researchers and academic institutions create, manage, and share scientific and academic research content.
Explore how Visionet, with Google Cloud Platform, revolutionized content for a research provider. Our AI-driven solution ensures accurate information retrieval and establishes trust in the research community.
The client offers platform and software services to help researchers and academic institutions create, manage, and share scientific and academic research content.
The client is a leading player in the business of specialty mattresses in the US and has over 2,400 stores spanning across 49 states.
The client encountered obstacles in optimizing and automating cross-team data sharing and analysis. Without an efficient mechanism, they resorted to manual processes, which proved to be time-consuming and inefficient, leading to inaccurate and inconsistent reports. The client sought a solution to improve productivity and enable easy and secure access to accurate data through process digitization.
The client is one of the largest retailers specializing in mattresses and accessories and has over 2,400 stores across the US. Committed to delivering exceptional customer experiences and ensuring continued industry dominance, they aimed to enhance their reporting and automation capabilities by revamping their vendor reporting system.