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.
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.
At the Gartner Data & Analytics Summit 2017, Cambridge Semantics' very own Barry Zane, Vice President of Engineering, and Ben Szekely, Vice President of Solutions, discussed how the Anzo Smart Data Lake® (ASDL) solution empowers business users with on-demand analytics of their rich data during their session entitled “Accelerating Insight with High Octane, Graph Fueled Data.”
At Gartner's Data & Analytics Summit 2017, Alok Prasad, President of Cambridge Semantics, was joined by Peter Horowitz of PricewaterhouseCoopers for their session entitled “Accelerating Insight: Smart Data Lake Customer Success Stories”. During this presentation, they discussed how Cambridge Semantics’ in-memory, massively parallel, semantic graph-based platform, Anzo Smart Data Lake®, delivers an accelerating edge to data-driven organizations, while maintaining trust with data security and governance.
Earlier this month, the Cambridge Semantics team set off for Grapevine, Texas, for the Gartner Data & Analytics Summit 2017 to join more than 3,000 big data industry customers, Gartner analysts and solution providers in the continuing discussion on driving business intelligence and analytics forward.
“If you know the enemy and know yourself, you need not fear the result of a hundred battles. If you know yourself but not the enemy, for every victory gained you will also suffer a defeat. If you know neither the enemy nor yourself, you will succumb in every battle.” - Sun Tzu
Most Competitive Intelligence (CI) and Business Strategy practitioners are likely to have come across this immortal advice from Sun Tzu. One does not cease to be amazed at how this simple fact underlies the multi-million dollar intelligence gathering industry.
The nature of the insurance industry is changing quickly, and much of that change is being attributed to big data and analytics. In fact, a Research and Markets report on the global insurtech market highlighted big data discovery and analytics as a key market trend that will drive a projected CAGR of 10.41 percent during the period 2016-2020.
The data lake is a modern and rapidly evolving data architecture. It promises ubiquitous access to enterprise data with compelling benefits in terms of cost and agility. Yet, in many cases, this promise has not been realized.
At Strata+Hadoop World 2016, the concept on everyone's mind was the Data Lake. Fortunately, Marty Loughlin, our Vice President of Financial Services, was there to discuss how Smart Data Lakes are employing semantic technology to revolutionize Enterprise data analytics in ways that traditional Data Lakes can't. Here are the slides from his presentation.
Last month, the Cambridge Semantics team set off to New York City for Strata + Hadoop World 2016, or what Wired likes to call, “the lollapalooza of big data conferences.”