InsurtechFintechRevolution with Patrick Belton Patrick Belton

Business use cases of artificial intelligence, machine learning, deep learning. Major types of machine learning. Definitions of deep learning, machine learning, artificial intelligence. 

Companies need to meet customers needs anytime, anywhere in the digital economy. Firms continue to be challenged to devise the perfect cross-channel experiences for their customer base. We are witnessing the radical integration of the consumer experience across physical & virtual environments. Tools and standards are changing faster than companies can react. 

Consumers are moving outside the traditonally conceived purchasing funnel and this is changing the way they research and buy your products. If your marketing at your firm has not changed in response already, then it needs to going forward. Why the "funnel" is less relevant than in the past for marketers. The out-dated funnel concept fails to capture all the touch points and critical purchasing factors resulting from the explosion of product/service choices and digital channels, coupled with the emergence of an increasingly discerning, well-informed consumer. 

Examples of machine learning. Why is it important? What are popular machine learning methods? What are the differences between data mining, machine learning and deep learning? 

Approach to data culture at your firm 

Data culture drives the decisions made in your organization.