based on historical data. It works well while everything follows the status quo, but it gets into trouble when the path ahead changes. Now, imagine driving the same track but with a 360-degree view of what’s around you—and in an upgraded car that’s able to use real-time data to auto- adjust vehicle performance. Not only are you prepared for what you can see ahead of you, your car’s safety systems are adjusting performance to help keep you on the winning line. Your car has learned from the past and is absorbing everything that’s happening to it in that moment to predict the optimal route forward. This is AI decisioning auto-optimizing models using real- time data. So, what’s the key point here? If you want to make accurate predictions about the future, you need data, AI and decisioning brought together into one self- optimizing car. When you have this, your data feeds your AI, which fuels your decisioning. But it doesn’t stop there. Your decisioning then feeds data back to your AI on the performance of decisions, allowing it to learn from every decision made so it can make more accurate predictions. POWER-UP TIP: While (model) drift may be a goal in racing games, it’s a challenge to overcome in real life. Choose technology that makes model retraining and auto- optimization quick and easy to unlock the ultimate accuracy upgrade.
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