Dataconomy
OCTOBER 6, 2017
The financial technology field is rapidly expanding, but remains in flux and continues to be unpredictable. Fintech’s use of AI, algorithms, and modern technologies can transform traditional banking, but still faces some resistance. Some fintech companies are finding billion-dollar markets in the gaps left by outmoded banking services. Nevertheless, there are still.
DataRobot Blog
OCTOBER 3, 2017
Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. From speaking with attendees at the Paxata exhibit booth, partaking in networking events, and attending sessions, we observed three major trends: 1) Convergence of technologies.
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Dataconomy
OCTOBER 4, 2017
Semantic Graph Databases are now common in many industries, including life sciences, healthcare, the financial industry and in government and intelligence agencies. Graphs are particularly valuable in these sectors because of the complex nature of the data and need for powerful, yet flexible data analytics. Attributes, user attributes and. The post Triple Attributes: A New Way to Protect the Most Sensitive Information appeared first on Dataconomy.
Dataconomy
OCTOBER 5, 2017
It’s that time of year again. Data Natives is ramped up and ready to go for its most impressive lineup of speakers to date. Whether focused on the fastest growing developments in fields such as FinTech and AI or examining the many minute ways that data sets can affect individuals, The post Announcing confirmed speakers for Data Natives 2017 appeared first on Dataconomy.
Speaker: Frank Taliano
Document-heavy workflows slow down productivity, bury institutional knowledge, and drain resources. But with the right AI implementation, these inefficiencies become opportunities for transformation. So how do you identify where to start and how to succeed? Learn how to develop a clear, practical roadmap for leveraging AI to streamline processes, automate knowledge work, and unlock real operational gains.
Dataconomy
OCTOBER 2, 2017
Our ever-increasing dependence on the Internet to do business, entertain ourselves, communicate with others and shop for supplies has increased our amount of data exponentially. The vast amount of data needed to complete all of our activities requires a growing number of centers to safely store this information. Today, there. The post 4 Insights on the future of data centers appeared first on Dataconomy.
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