The Smart Data Blog

Meaning – The Conqueror of Most Maladies

Posted by Partha Sarathi Bhattacharjee on Jul 24, 2017 4:52:00 PM

A biomedical professional is certain to have come across some variant of the headlines mentioned in the visual above. Combinations of trending buzzwords in technology and healthcare form half of my news feed. The other half merely mirrors the first half.

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Topics: Semantics, Clincal Trials, Semantic Web, Ontology, Machine Learning

No Decisions Until It's Time

Posted by Sam Chance on Apr 27, 2017 7:53:00 AM

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.

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Topics: Smart Data, Semantics, Big Data, Data Lake, Graph, Smart Data Lake

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.

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Topics: Semantics, Semantic Web, Graph, Unstructured Data

[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.

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

Q&A with Sam Chance, Our New Managing Director of Pre-Sales

Posted by Kirk Newell on Feb 1, 2017 4:50:00 PM

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.

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Topics: Smart Data, Semantics, Semantic Web, Smart Data Lake

Smart Data Analytics

Posted by Kirk Newell on Sep 30, 2016 11:39:59 AM

Conventional data analytics utilizes dashboards, visualizations, search, and other tools to determine appropriate data for integrated, targeted use cases. Smart data analytics techniques, on the other hand, leverage linked data graphs, comprehensive data models, and a semantic standards-based approach to publish results to those same popular tools.

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Topics: Smart Data, Semantics, Semantic Web

Semantics 101

Posted by Patrick Wall on Aug 17, 2016 12:30:00 PM

Comprehending semantic technology is no longer an arduous task for the back offices of data-savvy organizations. Business users and C-level executives are starting to comprehend the basics of the technologies that are increasingly impacting their jobs.

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Topics: Smart Data, Semantics, Semantic Web, Ontology, Graph

Enabling Data Scientists by Reducing the Burden of IT

Posted by Kirk Newell on Aug 7, 2016 2:00:00 PM

The cliches are well known by now: data scientists spend the majority of their time simply preparing data for analytics, inheriting the responsibilities of IT teams that traditionally took months to process simple query results.

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Topics: Smart Data, Semantics

Smart Data Discovery

Posted by Patrick Wall on Aug 2, 2016 12:30:00 PM

Conventional data discovery utilizes dashboards, visualizations, search, and other tools to determine appropriate data for integrated, targeted use cases. Smart data discovery techniques, on the other hand, leverage linked data graphs, comprehensive data models, and a semantic standards-based approach to publish results to those same popular tools.

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Topics: Smart Data, Semantics, Semantic Web

Smart Data Lake or Data Landfill? The Difference May Be "Semantic" [SlideShare]

Posted by Kirk Newell on Jun 7, 2016 1:47:19 PM

Data lakes are quickly becoming a hot topic as enterprises determine how best to organize and access the large volume of data they have been generating. Data Lakes are attractive for several reasons, including their ability to expand data across the enterprise while maintaining trust and security with data governance.

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Topics: Smart Data, Semantics, Financial Services, Anzo, Smart Data Lake