Digital Marketing & AI: Learn the Future of Marketing Today - University

In this essential online session tailored for the University community, explore the intersection of Digital Marketing & AI. You will get a clear overview of how artificial intelligence is reshaping the marketing world and what this means for professionals and businesses connected to our innovative environment. This is an opportunity to understand the foundational shift happening in the industry and how to prepare for it, right from your own desk.

This talk is designed for marketing professionals, local business owners, and students within the University network, as well as anyone curious about the practical application of AI in marketing. You don't need to be a tech expert to benefit. The goal is to demystify the topic and provide our community with a solid understanding of the concepts that are driving change.

You will get insights on several key areas, including:

• How to use AI for more effective content creation and brainstorming.
• Ways to deliver personalized customer experiences at scale with AI.
• Understanding AI-driven data analysis to make smarter marketing decisions.
• The role of AI in automating repetitive tasks to free up your time.
• An introduction to predictive analytics for anticipating customer behavior.

We will discuss real-world examples of how these technologies are being used right now. Discover how AI can help refine ad campaigns, improve customer segmentation, and ultimately deliver better results. The focus is on practical knowledge and understanding the 'why' behind these powerful tools. This session is about equipping you with the knowledge to see the opportunities ahead in the digital marketing landscape.

Join us online to learn about the future of marketing. While this talk is presented with the University community in mind, we welcome attendees from across the country and the world. Position yourself to navigate the evolving landscape with confidence by understanding the core principles of AI in a marketing context.