Sizing the Impact of AI on Customer Data Analytics
Add bookmarkGetting the most out of your customer data: it’s one of those perennial challenges facing CX organisations. With so many channels open to consumers now and so many regulations in place monitoring data collection, data management, and data activation, it’s more complicated than ever to surface actionable analytical insights and feed them back into the CX ecosystem. New doors are opening through AI-powered technologies, and while they’re not a silver bullet by any means, they can be harnessed to better unpack customer data and fuel the level of personalised marketing that is now business critical.
In this episode, we hear from Treasure Data’s Director of Customer Marketing and Thought Leadership, Zack Wenthe and Principal Solutions Consultant, Lani Kakiet who take us on a whirlwind tour through the landscape of AI in CX and some of the practical applications in the market right now.
We dive into:
- The keys to building a robust data driven strategy
- How brands should be preparing for the upcoming loss of third-party cookies from Chrome
- The most common myths and misconceptions around CX-based AI
- Top considerations CX leaders need to make when experimenting with AI technology
- Challenges around data governance and data security
- AI innovations to watch for in 2024
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Subscribe to the series on Spotify: https://open.spotify.com/show/4GD1rdZR1yvayRrcdLPHO2
For sponsorship opportunities, reach out to katie.judd@iqpc.co.uk
To register an interest in becoming a guest, get in touch via serece.hannon@iqpc.co.uk
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