Why Great AI Starts with Listening: Navigating the Data Quality Crisis with Joe Reis Part 2
So, you’ve got your data in place. Now what? The world of data collection, analysis and engineering is undergoing a massive overhaul and it can be hard to keep on. In part 2 of this Bringing Data and AI To Life episode, host Nick Dobbins, Worldwide VP and Field CTO at Informatica, and Joe Reis, bestselling author of "Fundamentals of Data Engineering" and Data Engineer, continue to unpack why prioritizing business problems over technological solutions in AI implementation is critical. What You’ll Learn How to adopt a "problem-first" approach and resist the trap of tool-driven solutions Why active listening and business literacy are crucial skills for data professionals in the AI era The art of communicating data projects, simply, to gain business buy-in Why philosophy, arts, and knowledge sciences are becoming essential skills for data professionals The strategic importance of understanding semantic layers, knowledge graphs, and ontologies in an AI-first world How to future-proof your career by creating new roles and opportunities in the evolving data landscape Why self-directed learning and broad reading across disciplines are critical for navigating the AI transformation If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts and Spotify. Instructions on how to do this are here. This podcast is brought to you by Informatica, the leader in enterprise cloud data management. Links: Joe Reis on LinkedIn: https://www.linkedin.com/in/josephreis Joe’s Practical Data Modeling Substack: https://practicaldatamodeling.substack.com/ Joe’s Book “Fundamentals of Data Engineering”: https://www.amazon.in/Fundamentals-Data-Engineering-Systems-Grayscale/dp/9355421540 Nick Dobbins LinkedIn: https://www.linkedin.com/in/nick-dobbins-guiding-data-modernization-with-responsible-ai Informatica Website: https://www.informatica.com/ Data & AI Architecture Summit: https://now.informatica.com/ai-architecture-summit2025.html?Source=INFAPodcast