Algorithms that use machine learning have built-in smarts to use available data to answer questions. Apart from using data to learn, those algorithms can also detect patterns to uncover anomalies and provide solutions.
Machine learning use cases are rapidly growing across verticals and the mainstreaming of big data, cloud computing, Internet of Things, and Hadoop have expedited the growth and implementation of such use cases. Size really doesn’t matter with this technology. Large, medium, and small businesses have the capability to access and implement smart tools for personalized marketing, risk and fraud analysis, predictive equipment maintenance, etc.
Industry leadership needs to leverage cases as the game changer for enhanced business efficiency leading to increased growth.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.