Overcoming Data Challenges in the FinTech IndustryAspire Systems
This supplier profile is not yet verified.
Verification is a free, simple process in which a supplier representative confirms the accuracy of their profile and identifies profile improvements.
Analytics & Modeling - Machine Learning
Infrastructure as a Service (IaaS) - Hybrid Cloud
Leasing Finance Automation
Data Science Services
⦁ smart data fabrics
there is a need for fintechs to take a look at their current data management strategy to bridge the data silos and integrate them with the help of a new architectural approach called data fabric.
|44 percent of FinTechs are considering implementing smart data fabrics, 54 percent are planning to invest in cloud deployment solutions, and 51 percent are considering using one-shot learning models for AI. These solutions will enable FinTechs to bridge data silos, leverage data for AI, overcome deployment challenges, and learn from smaller datasets.|