Forbes February 28, 2025
The phrase “garbage in, garbage out” is an adage from the early days of computing but should arguably be the mantra for AI today. Errors during data capture are not just carried forward; they are amplified by AI, leading to flawed insights and decisions. AI’s effectiveness depends on the integrity of its data inputs. As the volume of data increases, even small inaccuracies can have exponential impacts. Improving data quality is essential to unlocking AI’s true potential.
Fortunately, AI itself provides solutions for smart data capture across barcodes, documents and IDs. Smart barcode readers use sophisticated “detect and correct” algorithms to address challenges such as damaged labels, difficult lighting, awkward capture angles and poor camera resolution, delivering near-perfect accuracy even...
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