Bill Marcus writes about the intersection between deep analytics and big data in HPE Insights:
[T]he scale of an organization and its data is key to how much the process will matter, according to James Howard… “If you’re a small bank, machine learning is going to help get you through the day, but it’s not going to be something critical—whereas if you’re doing high-frequency trading, all you’re doing is machine learning.”
Read more at HPE Insights:
By Bill Marcus, contributing writer In Munich, Germany, the technology conglomerate Siemens AG is betting $1.1 billion on digital technologies, such as the proposition that blockchain data can be leveraged by machine learning to improve the secure transmission of data used in energy trading.
Image lifted from HPE.