When data is collected it can be sent across long routes to data centers or clouds. But with edge computing, that data is collected and analyzed closer to the “edge” of the network. That means that organizations can analyze data in near real-time, which is often critical for many industries such as healthcare, telecommunications or finance.
When data is collected it can be sent across long routes to data centers or clouds. But with edge computing, that data is collected and analyzed closer to the “edge” of the network. That means that organizations can analyze data in near real-time, which is often critical for many industries such as healthcare, telecommunications or finance.
For decades, businesses have sought a comprehensive picture of customer activity and behavior, but have been thwarted by data that remains siloed or unanalyzed. Finally, processes for getting a reliable and complete view of what customers want (and how they want to be contacted) are taking shape. Tools that synthesize different data sources across enterprises …
One of my north star quotes that guides our mission here is from Jacques Bughin and Nicolas van Zeebroeck. In MIT Sloan Review, they declare: “Companies that adopt bold strategies in the face of industry digitization improve their odds of coming out winners.” Last week, at Aerospike Summit, we didn’t just see “bold” strategies from …
Many businesses are finding it a challenge to adapt quickly enough to keep up with the exploding digital payments marketplace, running the real risk of losing customers if they don’t find solutions – fast.
Both online gaming and online gambling are rapidly changing as new technologies and providers vie to attract customers and develop brand loyalty. The proliferation of handheld devices and smartphones means that more consumers can easily access games and gambling sites, but it also means that providers must be able to scale quickly to meet such …
In a world where business transactions are done less and less with cash and increasingly as digital payments, reducing fraud is paramount. Brian Bulkowski, Aerospike’s Founder and Member of the Advisor Team, shares his thoughts on using machine learning to transform payments in this article, posted to Medium on February 21. The payments market is …
2018 was Aerospike’s best year ever. One of those slingshot years, where you look back and say, that was one of the catalyst moments where our years of hard work took us beyond startup to market scale. Our success is the culmination of a multiyear strategy that pushed the boundaries of database performance and reliability …
Succeeding with digital transformation is a challenge for companies of all sizes. John Dillon, Aerospike’s CEO, has shared his own point of view on the topics in this article, posted January 29 on Medium. The problem is that onboarding new technology is a challenge – even for the most adept organizations. Not surprisingly, barely a …
The aura of anticipation and uncertainty that permeates discussions around AI and machine learning tends to overshadow the near – term and practical use cases of the technology. One space already showing the promise of machine learning is retail.
