Almost everything we do, both online and offline, is a source for data. As technology increases, the ways to measure and collect data also increase. One of the ways we understand our world is to study trends in behavior. The issue that people run into now, however, is that technology

For those companies who have been collecting machine data for years, an incredible opportunity exists in making this data actionable. Utilizing actionable data can offer an invaluable competitive advantage by enabling companies to streamline operational processes, optimize demand forecasting and better understand their customers’ propensity to buy. In particular, predictive

Business intelligence, or BI, plays a key role in the strategic planning of organizations and is used for multiple purposes, including measuring performance progress toward business goals, performing quantitative analysis, reporting and data sharing, and identifying customer insights. Business intelligence involves the use of computing technologies to identify, discover and

CEOs of the world’s leading companies have a global influence that stretches beyond their own business and commercial interests. The general public is increasingly looking to the people steering some of the largest companies in the world for their views on political and social issues. In a Financial Times article

Cognitive applications have become constant companions at our places of work. We expect smart systems to reduce repetitive workloads and support us in uncovering new Knowledge. As a result, data scientists and software engineers are applying various machine learning algorithms to finetune results and increase processing capabilities. At the same time,

In today’s digital landscape, customers expect you to deliver products and services in a fast and efficient manner. Heavyweights like Amazon and Google have set a bar in terms of operations, and they’ve set it high. An increasing need for more streamlined and efficient processes, combined with advancing technologies has

With its unlimited size, an Enterprise Knowledge Graph contains all of an organization’s data — structured, unstructured, internal or external — presented as trillions of interlinked facts made available in any combination, on-demand to approved users.  The Enterprise Knowledge Graph enables organizations to take advantage of in-memory computing at cloud-scale

Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Semantic Graph Database technology for Knowledge Graphs, recently announced Gruff v7.0, the industry’s leading Graph Visualization software for exploring and discovering connections within data. Gruff provides novice users and graph experts the ability to visually build queries and explore

Many marketers representing mid-market financial services companies labor under the impression that due to their size and scope, the data-driven marketing tactics used by the dominant players are simply out of reach for them. This is a shame and quite far from the truth. Data, analytics, technology and the overall

Just a few years ago, enterprise organizations had to be convinced that Big Data was a real-world opportunity worth investing in. By 2016, 63% of those enterprise leaders were saying they considered Big Data and advanced analytics initiatives a necessity in order to remain competitive. This year started with even