Conventional data discovery utilizes dashboards, visualizations, search, and other tools to determine appropriate data for integrated, targeted use cases. Smart data discovery techniques, on the...
In this webinar Barry Zane, our Vice President of Engineering and an industry expert in Database technologies, discusses Semantic Graph databases as the next step in the evolution of Relational...
In the pharmaceutical world, clinical trials are essential to any medical research study, such as testing the benefits and risks of a specific medical treatment or drug. But because massive amounts...
Analytics has profoundly altered the retail industry. The combination of real-time, predictive analytics—in conjunction with traditional historic analytic capabilities—has reconfigured the way...
There is no simple way to define the Association for Cooperative Operations Research and Development (ACORD), or its significance to the insurance industry. It is simultaneously a global community...
Historically, understanding the contents of unstructured text has required a great deal of time and effort by experts to read stacks of documents and manually extract key information that is then...
The challenge for analysts seeking trading opportunities that outperform the market is not a lack of information. It is an over-supply of information from widely disparate sources. How do you sift...
The analytics prowess of Anzo Graph Query Engine (AGQE), an enormously parallel in-memory querying graph database of semantic data, is almost immeasurable. The scale, scope, and speed of data...
While businesses are projected to spend more than $40 billion annually on Big Data-related initiatives by 2018, according to IDC, many companies are still unsure exactly how to calculate their ROI.
In recent years, the concept of a “data lake” has grown in popularity across the world of big data. From financial services to healthcare, companies are recognizing the value they can bring to data...
