Joe Luchs is the Founder and CEO of DatalinxAI, an AI-powered data refinery that simplifies customer data. As an expert in AI, AdTech, MarTech, and SaaS, he previously served as the Global Head of AWS and Amazon Ads at Amazon, where he led global partnerships and AI business development. Joe was also the Commercial Founder and Head of Revenue at Beeswax (acquired by Comcast) and held a leadership role at Oracle.

Organizations are beginning to implement AI for personalization, automation, and business intelligence. Yet, messy, unstructured, and inconsistent data hinder smooth implementation. How can businesses bridge the gap between cutting-edge AI models and the data readiness required to scale them?

According to AI and data expert Joe Luchs, companies often spend years and vast resources on data prep before they notice ROI on AI models. He recommends using secure hybrid cloud architectures, embedding data compliance measures, and automating preparation processes to free up teams from tedious work. By focusing on high-quality data readiness, businesses can accelerate AI adoption, empower staff to focus on innovation, and deliver the hyper-personalized experiences consumers expect.

In today’s episode of The Digital Deep Dive, Aaron Conant sits down with Joe Luchs, Founder and CEO of DatalinxAI, to discuss preparing data for widespread AI adoption and integration. Joe explains how consultancies have pioneered data readiness, the future of AI-driven brand experiences, and the dangers of leveraging AI without proper regulations.