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Over the years of working with John Roese at the CTO office of EMC/Dell, one key lesson I learned was to always stay practical—because practicality is the best way to create lasting impact. Now, as we navigate the AI era, many feel sidelined by AI, some even fear it, while others have seemingly transformed into AI experts overnight. The market is flooded with both anxiety and gold-diggers. But when everyone is an AI expert, no one really is. Sooner or later, AI will become a basic skill—like operating a PC or driving a car. For the past six years, I’ve been leveraging Graph XAI to enhance Enterprise AI, focusing on four key areas, which I call ADEV: 1. Accuracy – Remember the probability problem with AI/ML/DL? 2. Depth – Most AI remains shallow; real intelligence requires deeper insights. 3. Explainability (White-box) – Decision-making in a black-box (or even a graph-box) can be disastrous. 4. Velocity (Performance) – Real-time decision-making is crucial—no more T+1 or T+N sampling, training, and probabilistic predictions. Enterprise AI still has a long way to go. There is no silver bullet—we need to stay practical and focus on what truly works.
John Roese, Global CTO and Chief AI Officer, defines #EnterpriseAI as identifying the key process where #AI can enhance your organization's intelligence, speed, and competitiveness. No need for training your own models or taking big risks. Success in Enterprise AI is about applying it to the right process, at the right time, in the right way. Watch the latest video for more info??? https://del.ly/60430yWPh