The Future of Banking: AI, Machine Learning, and Predictive Analytics
The hype around artificial intelligence (AI) has reached a fever pitch, especially in the financial industry. With AI being a hot topic at conferences and among financial brand leaders, there is a growing concern about distinguishing between hype and actual, practical applications.
In this episode of the Practical Perspectives series, a panel of experts share their insights and recommendations on how financial brand leaders can integrate AI with human expertise to lead to better decision-making and customer experiences, unlocking new growth opportunities and ultimately emerging stronger in the Age of AI.
-------------------------------------------
🙌 LinkedIn: https://www.linkedin.com/in/jrwlay/
👍 Twitter: https://twitter.com/jrwlay
-------------------------------------------
Topics:
00:00 Welcome to the Banking on Digital Growth Podcast
02:32 Panel Discussion: Understanding AI, ML, and Predictive Analytics
06:58 Real-World Applications and Success Stories
12:21 Challenges and Roadblocks in AI Implementation
23:11 Audience Q&A: Data, AI, and Predictive Analytics
45:58 Final Thoughts and Key Takeaways
The hype around artificial intelligence (AI) has reached a fever pitch, especially in the financial industry. With AI being a hot topic at conferences and among financial brand leaders, there is a growing concern about distinguishing between hype and actual, practical applications.
In this episode of the Practical Perspectives series, a panel of experts share their insights and recommendations on how financial brand leaders can integrate AI with human expertise to lead to better decision-making and customer experiences, unlocking new growth opportunities and ultimately emerging stronger in the Age of AI.
——————————————-
🙌 LinkedIn: https://www.linkedin.com/in/jrwlay/
👍 Twitter: https://twitter.com/jrwlay
——————————————-
Topics:
00:00 Welcome to the Banking on Digital Growth Podcast
02:32 Panel Discussion: Understanding AI, ML, and Predictive Analytics
06:58 Real-World Applications and Success Stories
12:21 Challenges and Roadblocks in AI Implementation
23:11 Audience Q&A: Data, AI, and Predictive Analytics
45:58 Final Thoughts and Key Takeaways