In the latest event I hosted, we welcomed Simon Axon , Global Financial Services Specialist at Teradata , for a deep dive into why 80% of AI projects in financial services fail — and what leading banks are doing differently to succeed. From data readiness to deployment hurdles, Simon shared tactical insights, real-world case studies, and a vision for a more human-centric AI approach in banking.
Key Highlights to Feature :
80% of AI projects never reach production. Most of the time is spent preparing data, not delivering value.
“Signal Banking” is the future. This model mimics human behavior to deliver personalized, timely customer experiences using AI.
Banks are not scaling AI efficiently. A typical AI model can take 5–12 months to deploy — and many never see the light of day.
Case Study: A European bank cut 5 days off regulatory reporting with a single AI model.
Call center cost savings of $36M: AI-powered call wrap-up summaries are streamlining operations significantly.
Mortgage innovation in Australia: AI is helping banks compete on service, not just interest rates, with hyper-personalized digital journeys.
