an artist s illustration of artificial intelligence ai this image depicts the process used by text to image diffusion models it was created by linus zoll as part of the visualising ai

Setting data availability goals crucial to AI success

This article was based on the interview with Eric Madariaga of CData by Greg Kihlström, MarTech keynote speaker for The Agile Brand with Greg Kihlström podcast. Listen to the original episode here:

Defining clear goals is crucial when incorporating AI into marketing strategies. Organizations need to have a clear understanding of what they want to achieve with AI technology. Whether it’s improving forecasting, increasing conversion rates, enhancing customer retention, or enabling self-service capabilities, having a specific goal in mind will help guide the implementation process and ensure that AI is used effectively to achieve desired outcomes.

In the podcast episode, Eric Madriaga, co-founder of CDATA, discusses the importance of defining clear goals and making data available for organizations looking to adopt AI effectively in their marketing operations. These two critical steps are essential for setting up data operations for AI and ensuring successful implementation.

Furthermore, making all data available for consumption is essential for AI to work its magic. AI technologies rely on data for pattern recognition and analysis. Therefore, organizations need to ensure that their data is accessible and can be integrated from various sources. This may involve connecting different systems, such as CRM, support systems, and internal databases, to provide a comprehensive view of customer data and behavior.

Eric Madriaga provides an example of how CDATA implemented an AI-driven customer health system internally. By integrating data from CRM systems, support systems, and internal databases, CDATA was able to identify at-risk customers and enhance their customer engagement strategies. This demonstrates the importance of making data available for AI models to build, maintain, and operate effectively.

In conclusion, defining clear goals and making data available are two critical steps for organizations looking to optimize their data operations for AI in marketing. By setting clear objectives and ensuring that data is accessible and integrated from various sources, organizations can harness the power of AI to enhance their marketing strategies, improve customer experiences, and drive business growth.