Synthetic identities are built through identity theft for use in fraud requiring individually valid identifying details. Identity criminals establish new identities through the combined use of false and actual data, or at times, independently valid information. Criminals utilize this synthetic identity to gain open deposit accounts, credits, driver’s licenses, and even passports.
The most common interactions we have with recommendations today involve social, the people we may know, and retail, the products we may also like, but some of the more interesting recommendation engines are the ones that operate internal to an organization providing business recommendations around strategy, direction and execution. Designing and building business recommendation engines that leverage a comprehensively connected data view within an enterprise can provide many competitive advantages. These advantages can include
We’ve recently been exploring the new ways we as consumers would like to be interacted with by brands as we go through our daily lives. Fitness and nutrition are key parts to our lives and being able to do those well are crucial to remaining of balanced mind and body. Active lifestyle brands have captivated us in the recent years and we think it’s time that the engagement became more personal. They have enough information about us and we’d be willing to answer some simple questions about our fitness and nutrition goals if they asked. This simple interaction would enable them to provide us with a personalized fitness and nutrition recommendation engine.
In building any technology there are always trade-offs when squeezing maximum performance out of the implementation so knowing what that guiding light is for a technology becomes very important. If you’re trying to do everything, or even too many things, odds are none if it will be great because you can’t go all out for one primary objective. Your focus will be split.
What might interest you? In this age, it’s safe to assume that you have given at least some digital declaration regarding what definitely interests you that is being used to power an interest feed. Like any good detective, we are in the business of following these clues to reveal yet undiscoveredconclusions. Posts, topics, pictures, videos, people, and other assorted data that will likely interest you. Fortunately unlike detective work, digital sleuthing can be undertaken as a hard science, where algorithms and numbers are our forensic tools, culminating in an interest feed.
Thinking in patterns is the key to interacting with a graph database like Neo4j. One of the main challenges I see with those with deep relational database experience when transitioning to a graph database is the use of a relational approach for querying data. To query a graph database most efficiently there is a need to update the mental model for how database query interactions are approached. We’ll look at some examples of this and making this transition to thinking in patterns.
We live in an era where the world is more connected than ever before and the trajectory is such that data relationships will only continue to increase with no signs of slowing down. Connected data is the key to your business succeeding and growing in today’s connected world. Leading enterprises will be the ones that utilize relationship-centric technologies to leverage connections from their internal operations and supply chain to their customer and user interactions. This ability to utilize connected data to understand all the nuanced relationships within their organization will propel them forward as they act on more holistic insights.