Part 3/10:

• Data: Current data systems are often siloed, static, and lack the semantic clarity needed for advanced AI. Future enterprises will require unified, real-time, and semantically-rich data that provides deep contextual understanding—a "DNA" of data—enabling more precise AI interventions.

• Technology: Moving away from complex, siloed applications, enterprises will favor simple, intuitive interfaces facilitated by agents. These agents abstract complexity, making interactions seamless for human users.

• People: Human roles will transition from human-in-the-loop—supervising AI—to human-on-the-loop, where humans monitor, govern, and augment AI actions. Empowered by AI, humans will focus on strategic oversight rather than routine tasks.