Joe Kulnis, Principal Consultant at NRI, delves into the complexities of artificial intelligence (AI) and the associated risks that organizations must navigate. He explores AI’s evolution, identifies key ethical and technical risks—including bias, privacy concerns, and security vulnerabilities—and emphasizes the critical role of governance in AI implementation. Through real-life examples, such as Amazon’s hiring algorithm, Joe illustrates the potential pitfalls of AI while providing practical strategies for responsible use.

Catena-X: The Future of Data Sharing in the Automotive Industry
Imagine : instead of recalling 1.4 million vehicles under the conventional approach, you only need to recall 14. The solution is Catena‑X—a new data exchange platform emerging in the automotive
