33 min

How to Prepare Your Data Foundation for Artificial Intelligence (AI‪)‬ Level Up: A Marketing Podcast

    • Marketing

In this Level Up episode, Jordan Kraus and special guests Brian Esham, Director of Technical Services, and Christy Glesing, Sr. Marketing Consultant, explore how AI has evolved throughout 2023 and its future for business applications. Together they discuss topics like building consent and trust into AI models, the steps to prepare your data foundation for successful AI integration, and how you can ensure its marketing use cases align with your company's goals.

Listen in for:
00:45 - 03:55 📈 The evolution of AI in 2023 and continuing to 202403:51 - 06:07 🤝 Data and building AI models, ensuring consent and privacy in the trust layer, policies06:09 - 08:26 🔧 Preparing your data foundation08:30 - 10:52 🔄 Understanding the customer lifecycle and the data gaps, narrowing focus10:57 - 14:02 🤖 Traditional AI, Machine Learning, and Generative AI: is your data set up for these technologies?14:10 - 17:05 📀 Data and breaking down silos that ultimately benefit customer experiences17:06 - 18:26 🤦🏽‍♂️ "Do I really need to go through all this work for AI?"18:22 - 20:59 ⏰ Do you need to have a majority of a data foundation before pursuing AI?20:59 - 23:34 🙋 If you don't know where to start, consider bringing in a partner to consider and build an AI integration strategy23:40 - 25:50 🏆 Small wins that lead to big wins with data cleanup and adopting AI25:50 - 26:39 ✅ Use cases that align with company goals26:39 - 29:36 What are the possibilities with AI once a data foundation has been created?29:37 - 33:11 Salesforce announces free Data Cloud and Tableau trials. Considering other Salesforce tools and Einstein

In this Level Up episode, Jordan Kraus and special guests Brian Esham, Director of Technical Services, and Christy Glesing, Sr. Marketing Consultant, explore how AI has evolved throughout 2023 and its future for business applications. Together they discuss topics like building consent and trust into AI models, the steps to prepare your data foundation for successful AI integration, and how you can ensure its marketing use cases align with your company's goals.

Listen in for:
00:45 - 03:55 📈 The evolution of AI in 2023 and continuing to 202403:51 - 06:07 🤝 Data and building AI models, ensuring consent and privacy in the trust layer, policies06:09 - 08:26 🔧 Preparing your data foundation08:30 - 10:52 🔄 Understanding the customer lifecycle and the data gaps, narrowing focus10:57 - 14:02 🤖 Traditional AI, Machine Learning, and Generative AI: is your data set up for these technologies?14:10 - 17:05 📀 Data and breaking down silos that ultimately benefit customer experiences17:06 - 18:26 🤦🏽‍♂️ "Do I really need to go through all this work for AI?"18:22 - 20:59 ⏰ Do you need to have a majority of a data foundation before pursuing AI?20:59 - 23:34 🙋 If you don't know where to start, consider bringing in a partner to consider and build an AI integration strategy23:40 - 25:50 🏆 Small wins that lead to big wins with data cleanup and adopting AI25:50 - 26:39 ✅ Use cases that align with company goals26:39 - 29:36 What are the possibilities with AI once a data foundation has been created?29:37 - 33:11 Salesforce announces free Data Cloud and Tableau trials. Considering other Salesforce tools and Einstein

33 min