In the spring of 2020, as the pandemic began to intensify, CEO Rob Locascio of…
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Everybody Must Get Scored
In 2014, China introduced a controversial method of ensuring its citizens were law-abiding. The “Social…
Read MoreLessons In Hyperdisruption
At its best, technology improves the efficiency, productivity, and convenience of everyday processes while getting…
Read MoreHow Can My Organization Hyper-Automate?
In order to hyperautomate within your organization, you might need a strategy for co-creation that…
Read MoreHere’s What Successful Hyper-Automation Can Look Like
As a company expands and evolves their ecosystem they’re able to automate more and more…
Read MoreComposable Architecture
You’ve heard of 3D-printed houses, furniture, and even body parts. This hyperautomated “future” tech is…
Read MoreOrchestrating Hyperautomation Requires an Open Platform Where Conversational Applications Thrive
As we careen into the era of conversational AI and hyperautomation, closed systems create bad experiences that stifle innovation and opportunity
Read MoreIt’s The Internet Of Things, But For Real This Time
Maybe you remember all the fuss about the internet of things some ten years ago.…
Read MoreHyper-Disruption Isn’t Coming, It’s Already Here
We’re nearing a convergence point that has already begun to reshape the experiences customers and employees have with businesses—putting massive stores of data into action in ways that will fundamentally alter our relationship with technology.
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To GraphDB, relationships matter
Graph databases are a good choice for use cases when a company needs to store a lot of data (like different internal operations, customers and their preferences/history, open tickets, questions, events) and find connections between them to predict customer’s behavior, trends, and prevent fraud.
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