- Why is this next era of AI in banking different?
- What are the biggest challenges preventing banks from realizing the full potential of AI?
- What key capabilities are required to scale operations and deliver AI-driven banking services?
- How can this be addressed from a practical perspective? What are the best strategies to accelerate adoption?
Deeper integration of artificial intelligence into banking services can be game-changing and drive innovation and efficiency. The potential is diverse, ranging from redesigning the customer and employee experience to radically streamlining banking operations.
The transformative power of AI is undeniable, but many banks are struggling to realize its full potential. One of the biggest challenges is the cost and complexity of large-scale deployment. Access to high-quality data is critical for any machine learning model, but training, tuning, and deploying models is equally daunting. This becomes even more complex when companies rely on models that they have not trained themselves – how can they effectively manage them and supplement them with their own data?
This webinar will explore practical steps and strategies for banks to deliver AI-driven services. From best practices and critical considerations to regulatory compliance, data protection and the ethical implications of AI in banking, we will discuss how banks are effectively meeting the challenges of harnessing the potential of modern technology platforms designed for the AI era can.
Register for this Finextra webinar hosted in collaboration with Red hatto join our panel of industry experts who will discuss insights into the latest platforms and tools that enable the development of intelligent banking solutions.