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Advancing Application Performance with NVMe Storage, Part 3

DZone

Financial Analytics – Financial services and financial technology (FinTech) are increasingly turning to automation and artificial intelligence to fuel their decision making processes for investments. There are several AI/ML focused use cases to highlight.

Storage 100
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Advancing Application Performance with NVMe Storage, Part 1

DZone

Financial analysis with real-time analytics is used for predicting investments and drives the FinTech industry's needs for high-performance computing. This has given rise to a completely new set of computing workloads for Machine Learning which drives Artificial Intelligence applications.

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Embrace Digital Transformation: Empowering Users with Digital Wallet App Development Solutions

Tech News Gather

P2P lending apps use algorithms and data analytics to evaluate interest rates and the creditworthiness of borrowers. Conclusion The term “fintech app development” refers to creating financial apps which can be used in various ways. Find the best eWallet app development company.

FinTech 40
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The Ultimate Guide to Open Source Databases

Percona

For example, an analytics application would work best with unstructured image files stored in a non-relational graph database. It’s well-suited for most online transaction processing (OLTP) workloads and works with some online analytical processing (OLAP) workloads. MongoDB also provides strong encryption and firewall security.