Smart Data Lake platforms providing semantic layers are automating data access and data management for accelerated insight. These platforms, based on knowledge graphs, allow organizations on-demand access to all relevant data, internal or external, regardless of the source format or type (i.e. structured, unstructured or semi-structured). All resulting in faster answers to questions impacting an enterprise. Now IT organizations can easily deliver harmonized diverse data sets with full richness allowing various stakeholders to conduct interactive high resolution analytics on the multi-layered rich data. Stakeholders can also use these Smart Data Lakes with semantic layers for on-demand discovery of right data and data sets to be used with business intelligence, machine learning or advanced analytics systems without any IT set up or preparation. The result - better insights, improved time to market, and faster and timely decision making.
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
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.
Superior decision making is an essential aspect of life, whether it be in business, national security, health, environment, and every other aspect of human existence. Look no further than geopolitical affairs, such as North Korean or Iranian relations, to understand the importance and impact of decisions on human life, indeed the entire planet. This is not an exaggeration. From an Information Technology point of view, the goal is to provide complete and accurate information on demand to support decision making.
The financial industry is facing a perfect storm of disruptive drivers for data management. While regulators seek accuracy and transparency, institutions are struggling with fragmented data and IT infrastructures. The path forward is “data engineering” – applying consistent semantics with scalable infrastructure to harmonize data and enable traceable and dynamic analytics.
Cambridge Semantics recently hosted a Tweet Chat with industry professionals, media and analysts to discuss Big Data in the Financial Industry using the hashtag #SmartDataChat.
We’d like to introduce you to the newest member of our team, Sam Chance, who has joined us as managing director of pre-sales. In this newly created position, Sam will work closely with the sales and engineering teams to accurately define and communicate the value of our Anzo Smart Data Lake® (ASDL) platform to our growing roster of customers, while also architecting a customized solution for their environments.
In September 2016 Cambridge Semantics attended Strata+Hadoop World 2016 in New York, NY. While we were there, Marty Loughlin, our VP of Financial Services, spoke to a gathering of attendees about who we are and what our platform does. Here is his presentation.
With all eyes on the federal government at the moment, I thought I’d take a moment to discuss a topic that concerns all citizens – government transparency.
Last month, Cambridge Semantics held its inaugural Life Sciences Smart Data Discovery and Analytics Forum in Boston. At this forum, leaders in Life Sciences and Big Data met to discuss the application of smart data technology to research and development, clinical trial and healthcare data to gain more actionable insights and shorten the overall product lifecycle.