Many Artificial Intelligence tools and techniques have been available for decades, but a lack of large dataset availability and computational horsepower limited their applicability to industry, reducing funding for AI research to academic circles. But recently, the proliferation of GPUs and distributed cloud computing systems with annotated datasets, emerged to support the progress of AI. By any assessment, the development of complete AI is still in its early stages, but the pace of innovation and potential for disruption in all sectors is experiencing a watershed moment. Most leading technology companies have now embedded some form of AI in core products–be it anomaly detection, language processing, computer vision, or speech recognition–and we see rapid adoption of AI in startups and established corporations alike. Finally, industry and academia are racing to put AI systems to work in the real world.

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