- Analytics & Modeling - Machine Learning
- Infrastructure as a Service (IaaS) - Hybrid Cloud
- Facial Recognition
- Leasing Finance Automation
- Data Science Services
Data remains a key challenge for FinTechs and their partnering traditional financial institutions. Among FinTechs globally, 81 percent have reported data to be their biggest technical challenge. These data issues include leveraging data for AI-ML, connecting to customer applications and data systems, security, and deployment in multiple clouds.
About The Customer
FinTechs are businesses that use technology to enhance and automate financial processes, services, and products. Examples of FinTechs include organizations and enterprises such as Venmo, Stripe, PayPal, and Challenger banks. They rely on data to drive innovation, improve user experience, and secure partnerships with incumbent banks.
The solutions to overcome the data challenges faced by FinTechs include implementing smart data fabrics to bridge data silos and leverage data for AI, investing in cloud deployment solutions, and using one-shot learning models for AI.
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