The Altus PaaS environment should substantially reduce the amount of time it takes to stand up a Big Data application.
As the ability to apply machine and deep learning algorithms against massive amounts of data in real time improves, the opportunity to commit fraudulent credit card transactions should be sharply reduced.
Syncsort developed Ironstream to make it feasible to move massive amounts of data typically associated with Big Data projects across the enterprise.
IBM’s recent epiphany is that AI should be used to enhance, not replace, people. Perhaps another application could be reducing abusive behavior.
With Infosys Nia, rather than requiring IT to separately license everything from deep and machine learning algorithms to natural language processing engines, IT gains access to a suite of AI technologies that it can deploy anywhere.
StorNext6 enables IT to employ FlexSync replication to more intelligently move data between on-premise IT environments using any type of storage medium and cloud computing environments without having to deploy dedicated cloud gateways.
Sisense is adding machine learning algorithms to analyze patterns within specific sets of data within a business intelligence application that doesn’t require data to be exported to a separate platform.
As we create ever more capable AI systems that can emulate human thinking, we have to be careful that it isn’t just the speed of the decisions that is being enhanced.
Progress has acquired DataRPM to gain access to a predictive analytics engine that is primarily used to maintain physical equipment connected to the internet.
Semarchy's intelligent MDM platform, xDM, uses the Material Design Language developed by Google to inject agility into the MDM process.
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