The Smart Data Blog

Accelerating Insight with High-Octane Graph-Fueled Data [Slideshare]

Posted by Kirk Newell on Apr 23, 2017 1:37:00 PM

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.”

Read More

Topics: Data Management, Data Integration, Data Governance, Semantic Web, Data Lake, Graph, Smart Data Lake

2017 Update: The First 100 Days of Big Data

Posted by Kirk Newell on Apr 10, 2017 5:02:00 PM

Today marks the 100th day of the New Year, and we’d like to take a moment to reflect on a few of the more interesting developments we’ve seen thus far in the fast-moving big data analytics arena.

Read More

Topics: Big Data, Financial Services, Analytics, Healthcare, Insurance, Government, Competitive Intelligence

Accelerating Insight - Smart Data Lake Customer Success Stories [Slideshare]

Posted by Kirk Newell on Apr 8, 2017 2:19:00 PM

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.

Read More

Topics: Data Management, Clincal Trials, Data Integration, Data Governance, Data Lake, Graph, Analytics

Leveraging Semantic Web Technologies to Create Information on Demand

Posted by Sam Chance on Apr 2, 2017 2:02:00 PM

Real-world events demonstrate our inability to understand rapidly and accurately what we already know. In other words, we cannot answer questions completely, despite the fact that we may hold the requisite data. For example, if someone attempted to enter the United States (US) at an airport, and US officials initiated a query to the “system” and found nothing, that person may enter the US erroneously. This might occur because US officials asking a question such as “What do we know about this person?” cannot assuredly answer it – and not in a timely fashion.

Read More

Topics: Semantics, Semantic Web, Graph, Unstructured Data

Riding The Competitive Intelligence Automation Wave - Part 2

Posted by Partha Sarathi Bhattacharjee on Mar 25, 2017 1:44:00 PM

"The legal and ethical collection and analysis of information regarding the capabilities, vulnerabilities, and intentions of business competitors" - Strategic and Competitive Intelligence Professionals

This is how Strategic and Competitive Intelligence Professionals (SCIP), the most well-known global body on Competitive Intelligence (CI), defines the concept of CI. For the uninitiated, the page on the organization's Code of Ethics for CI professionals sheds lights on the innards of the practice. One does not have to belabor the importance of the practice in the context of successfully operating a business. It is in the operational details, as is the case with most details, that the devil lies.

Read More

Topics: Data Management, Big Data, Analytics, Competitive Intelligence

Show Recap: Gartner Data & Analytics Summit 2017

Posted by Marty Loughlin on Mar 21, 2017 5:02:00 PM

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.

Read More

Topics: Data Lake, Graph

Riding The Competitive Intelligence Automation Wave - Part 1

Posted by Partha Sarathi Bhattacharjee on Mar 16, 2017 4:43:00 PM

“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.

Read More

Topics: Clincal Trials, Text Analytics, Data Lake, Analytics, Unstructured Data, Competitive Intelligence

Q&A with Carl Reed, Enterprise Architect, Technology Strategist and Advisor

Posted by Kirk Newell on Mar 14, 2017 1:01:00 PM

We’d like to introduce you to a new member of our industry advisory council: Carl Reed, formerly managing director at global financial services company Goldman Sachs and Credit Suisse. Carl is an expert in data discovery and analytics for financial institutions, and recently participated in our Tweet Chat earlier this month on “An Insider’s View: Finding Value with Data Engineering & Semantic Standards in Finance.”

Read More

Topics: Data Management, Data Governance, Financial Services, FIBO, Graph, Analytics

[Slideshare] Applying Data Engineering and Semantic Standards to Tame the "Perfect Storm" of Data Management

Posted by Kirk Newell on Mar 9, 2017 4:23:00 PM

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.

Read More

Topics: Smart Data, Semantics, Data Management, Big Data, Financial Services, FIBO

Tweet Chat: Big Data in the Financial Services Industry

Posted by Kirk Newell on Mar 6, 2017 12:04:00 PM

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.

Read More

Topics: Smart Data, Financial Services