Only with a rich and interactive semantic layer can the data and analytics stack deliver true on-demand access to data, answers and insights - weaving data together from across the enterprise into an information fabric. By developing Anzo Smart Data Lake on knowledge graphs, Cambridge Semantics has built the foundation for a truly disruptive Semantic Layer.
We have been humbled by the number of industry awards Cambridge Semantics has garnered in recent weeks. We know they can only be the result of the hard work and ingenuity of the Cambridge team.
May 25, 2018 has become a sword of Damocles hanging over the heads of any companies conducting business within European Union (EU) countries. Because that’s when the EU’s General Data Protection Requirement (GDPR) goes into effect. The GDPR requires all firms to enhance their protection of personal data, whether the firm is located within the EU or not. Organizations must be completely compliant from the first day or suffer the consequences of large fines – potentially up to 2 to 4 percent of a firm’s global revenue.
Utilities are implementing big data discovery and analytics tool to better manage energy flow and distribution, among other key benefits. But what are the benefits to the utility’s customers - government, commercial and residential energy users - as the power grid integrates these “smart data” enhancements?
Topics: Smart Data
Many retail industry observers are asking why e-commerce giant Amazon purchased the brick & mortar grocery chain Whole Foods. The unanimous answer is: access to real-world customer data that is richer and more robust that what Amazon can acquire from online purchases.
Data is increasing in supply chain management for retailers. Most of this data is unstructured and flowing all day and night into servers, and there’s much more to come.
The Smart Grid is poised to transform the energy industry using digital information to enhance efficiencies and performance for utility customers. As the Smart Grid continues to expand, demand for advanced big data analytics capabilities to better manage grid operations is growing as well. Utilities are looking for ways to effectively manage the large volumes of complex and unstructured data flooding the network to provide real-time, predictive and highly actionable intelligence to the enterprise.
An organization’s staff is its most valuable asset, and the human resources function is critical to the stability and growth of business operations.
We’d like to introduce you to the newest member of our team, Dan Szot, who has joined us as VP Sales, Life Sciences and Healthcare. Dan brings more than 20 years of sales leadership and field operations experience to the Cambridge Semantics team, specializing in enterprise sales, research discovery and clinical applications. With his broad experience in all phases of the pharmaceutical business – from drug ideation to commercialization and product life-cycle management – Szot possesses a keen understanding of the value that cutting-edge data discovery and analytics can offer the industry.
Gartner predicted that more than 8.4 billion connected devices will be in use in 2017, a 31 percent increase from last year. That number is projected to grow to a trillion-nod network over the next several years. We are in the midst of an Internet of Things (IoT) revolution and for enterprises it is creating unprecedented volumes of new data to intelligently master.