By making these moves, Microsoft is hoping to build up a broader community of developers around CNTK. We've seen firsthand the kind of performance CNTK can deliver, and we think it could make an even greater impact within the broader machine learning and AI community. Indeed, in November it released another project, Distributed Machine Learning Toolkit, to Github. "With its ability to run on a single, high-end Graphical Processing Unit (GPU) server or distributed clusters of GPU-based machines--a differentiator, according to Microsoft--CNTK appears to give developers speed and throughput advantages," he adds.
AI allows for the uncovering of insights in data that would take humans too long to achieve to be useful, allowing humans to make decisions on the insight that delivers a benefit (or indeed allowing another machine to make the decision based on what human intelligence has taught it to do). Embedding the'cognitive' capability of a machine into solving specific business issues provides a general ability to be more efficient – faster, better, cheaper.. At Chatterbox Labs we are working with many of the world's leading technology and consulting organizations who are harnessing our Cognitive Engine to solve real world business problems. Use cases are emerging daily as our partners apply their intelligence to build out new cognitive products in days to harness our machine learning algorithms, our speed and scale, our multi-lingual capability to bring artificial intelligence to benefit their clients. Chatterbox Cognitive Engine delivers artificial intelligence, machine learning and natural language processing capability in one to provide mid level business analysts with the ability to create new cognitive products in days.