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Businesses often waste resources by applying hyped, complex AI models where simpler, proven algorithms would be more effective and reliable. This creates a clear pain point for companies seeking real ROI and for engineers whose pragmatic advice is ignored.
A specialized consulting service can address this gap. It would help companies choose the most appropriate technology for their specific problem—be it classic ML or advanced deep learning—focusing on performance and cost-effectiveness rather than trends, thus bridging the gap between hype and practical value.