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GenRocket Blog
Some analysts believe that the market for machine learning may surpass $9 Billon USD this year. The surge in growth in the ML market is exponential as new avenues for software development and applications emerge. With this surge in new
Happy New Year! From everyone at GenRocket, we wish you a happy, healthy, and prosperous 2023. We’re thankful that 2022 was a fruitful year for both GenRocket and our clients. We couldn't be more excited about our plans for growth and
Software performance testing is a form of non-functional testing that’s critical to providing a great user experience and ensuring the stability and scalability of any software application under heavy load conditions. To fully exercise your code, you’ll need a high
We are often asked if GenRocket can perform data masking. The answer is, “Yes, of course – and with ease.” But like many questions asked about synthetic test data, the simple answer belies a complex explanation of the advantages of
The GenRocket Test Data Automation platform has been in development for more than 10 years with a vision of accelerating and automating the delivery of accurate, controlled test data into any testing environment. Over the years, the platform has changed from
Choose Your Starting Point: 5 Ways to Utilize Synthetic Test Data with GenRocket Dev & test is under constant pressure to quickly develop and test new code. They’re accustomed to using production data copies as a solution for their test data
The meaningful use of electronic health records (EHR) has been at the forefront of the healthcare IT conversation since the 2014 American Recovery and Reinvestment Act. As of 2019, the CDC reports that 89.9% of healthcare practices such as physicians’
The healthcare sector is on the verge of a revolution in data and analytics, but the advancement of data-driven decision making has been hampered by difficulties in updating legacy systems, as well as challenges stemming from disparate data sources. With
Enterprise Metadata Management is technology used to centrally manage and deliver high quality data and trusted information for business analysis and decision-making. Metadata is often referred to as “data about data” and describes the content, governance, and structure of enterprise
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