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Banking customers now expect digital experiences on par with those delivered by leading e-commerce and technology companies, and emerging financial technology (fintech) companies are racing to provide these kinds of experiences. This is not without risks: it requires integrating infrastructure without adding complexity or permeating silos.
NVMe storage's strong performance, combined with the capacity and data availability benefits of shared NVMe storage over local SSD, makes it a strong solution for AI/ML infrastructures of any size. There are several AI/ML focused use cases to highlight.
Respondents who have implemented serverless made custom tooling the top tool choice—implying that vendors’ tools may not fully address what organizations need to deploy and manage a serverless infrastructure. In our analysis, we assigned experience levels to our respondents for some of the survey questions. Industries of survey respondents.
Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. They’re often preferred for storing and processing business intelligence data by organizations that require fast SQL queries.
If your mobile app is a fintech application, it would require very high-security testing for even scenarios when a user is multi-tasking. Testing scenarios are one thing but to effectively test for every bug in your mobile app, you need a tool that helps facilitate the process and increases efficiency.
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