Less than 1% of machine learning models have their desired impact.
Worldwide spending on AI is expected to grow to $37.5 billion dollars this year, however there’s been increasing awareness of a set of issues that are preventing many organizations from operationalizing the machine learning models they’re building and maximizing the investments that are being made. There’s an epidemic that’s preventing models from making it into deployment where they can actually have an impact.
RapidMiner has analyzed the issue and documented our findings in an attempt to understand the root causes, so we know how to address them to stop the epidemic in its tracks. It’s important to begin by quantifying how many models are actually making it into production across all enterprises so we can identify the biggest bottlenecks.
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