Reducing FSI AI/ML application costs and risks with MLOps

For today’s financial services institutions (FSIs), the ability to reduce costs and risks while enhancing the speed of service delivery is critical to staying competitive. In this environment, artificial intelligence and machine learning (AI/ML) bring about transformation by embedding deep insights into applications. In fact, 70% of FSIs report they are already using AI/ML for use cases such as:

      • Improving customer service and lowering costs with virtual assistants, intelligent bots, or both.
      • Proactively detecting the likelihood of fraud and remediating issues in real time.
      • Supporting underwriting and risk management with deeper, data-driven insights.
      • Using predictive analytics to advise customers on spending and saving habits
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