Overall, more than half of respondents directly attributed significant, often exponential improvements in business processes to machine-learning-enhanced processes.
To characterize driving behavior, a machine learning-based model analyzed data from acceleration (smartphone sensor), OBD-II, and the IMU.
It leverages its own experience, built up by training machine-learning algorithms with data on hundreds of thousands of drug-like molecules.
Intelligent and Conversational Search are pretty much just focused on ensuring that Microsoft stays competitive with Google in integrating machine learning-leveraged insights into search interpretations.
Knowi also supports natural language queries, machine learning-based anomaly detection, and streaming data support.
The solution requires serious engineering work on big data, machine learnings, algorithms, scalability, and distributed systems.
The machine learning-enabled system takes all this data to quickly uncover patterns along the supply-chain, providing a personalized strategy for that segment.
Please see the latest roundup of machine learning forecasts and market estimates, 2018 for more market data on machine learnings' exponential growth.
Like all machine learning-based systems, SmartAssist needs a lot of data.
One company, PreSeries, has created a machine learning-powered platform to turn it into an objective, data-driven practice.
Available genotypic interpretation algorithms range from sophisticated machine learning-based methods to look-up tables [ 7, 8].
