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Cloud computing has created a new paradigm in application development, and having a highly scalable platform to host applications is a given.
Retail and logistics companies have been among the earliest adopters of augmented reality technologies.From trying out apparel in a virtual mirror to finding a prime position to place a beloved piece of furniture at home, augmented reality is making it all possible.
Over the past few years, artificial intelligence and machine learning have enabled many enterprises to dramatically transform their operations.
While the application of distributed ledger technology — commonly known as blockchain — has primarily been limited to financial applications, adoption in the retail and logistics sector is on the rise.
The global regulatory environment is going through a continuous change with regulations governing significant businesses are regularly altered. Companies are at risk of losing the majority of their business if they do not comply with the changed regulations. Our client is one of the leading global manufacturers of ophthalmic products, including contact lenses, lens care products, medicines and implants for eye diseases headquartered in the USA.
The regulations companies have to comply with are increasing and could pose temporary challenges for businesses. Assessing the impact of the regulations on business is therefore important as altered policies may require the organizations to change in the way they do business. Our client is amongst the top 5 US-headquartered multinational medical devices, pharmaceutical and consumer packaged goods manufacturer with an annual turnover of approximately USD 70 billion.
Cards and payments companies have huge volumes of files and databases containing historical data which can be analyzed and processed.
EMR and EHR systems are highly complex and change frequently. To keep your teams focused on core patient care, Syntel’s Product Testing Framework accelerates testing, boosts efficiency, and provides complete test coverage without burdening your experts.
Our client, a major global credit card company, was struggling to get a holistic view of customer buying habits. Since its merchants and vendors deal directly with consumers, the client wanted to optimize their marketing campaigns to ensure they retain profitable customers while attracting new ones. To deliver value to customers, data about their buying habits is crucial.
Our Client is a large U.S. healthcare provider with numerous hospitals and outpatient facilities. The current testing environment at the client’s facilities comprised inefficient test design and execution mechanism. Application testing was done in silos and was not standardized resulting in repetition of the testing procedures across the testing ecosystem which gave rise to operational inefficiencies. Nonstandardized procedures also meant that SMEs and analyst spent more time supervising each test reducing their productivity drastically. Additionally, the creation of multiple test design mechanism resulted in high volume and dispersed data on testing.
Our client, a major global credit card company, was struggling to get a holistic view of customer buying habits. Since its merchants and vendors deal directly with consumers, the client wanted to optimize their marketing campaigns to ensure they retain profitable customers while attracting new ones. To deliver value to customers, data about their buying habits is crucial.
Our Client is a large U.S. healthcare provider with numerous hospitals and outpatient facilities. The current testing environment at the client’s facilities comprised inefficient test design and execution mechanism. Application testing was done in silos and was not standardized resulting in repetition of the testing procedures across the testing ecosystem which gave rise to operational inefficiencies. Nonstandardized procedures also meant that SMEs and analyst spent more time supervising each test reducing their productivity drastically. Additionally, the creation of multiple test design mechanism resulted in high volume and dispersed data on testing.