Computers today are smart. Super smart. But we humans are still smarter.
Human ingenuity will be critical to how we apply AI-powered insights. After all, we humans developed computer-based deep learning in the first place. The other positive-negative side effect of this progressive approach is that it shows the organization where its data is inadequate. Good AI with poor data is bad AI. When you know where you have gaps in your data estate, where corruptions exist and where data deduplication needs to happen, then your data provenance can be more diligently managed. There’s little point in pushing upwards to the higher tiers of AI-empowered intellect if we don’t track our progress.
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