Cambridge Semantics, Inc. has been recognized by CIOReview Magazine as the recipient of “Top 100 Big Data Solution Companies - 2017,” based on our proprietary methodology, reflecting its position in the industry. This profile has been developed by the CIOReview research and editorial team based on insights from an interview with John L. Rueter, VP of Marketing.

Cambridge Semantics, Inc.
Accelerating Data Insights, Delivering Answers

John L. Rueter, VP of Marketing

Enterprises are inundated with data contained in databases, emails, documents, spreadsheets and more. Their ability to elevate this data has become a key differencing factor, helping them to reach the top of business world. However, enterprises spend far too much time and resources in integrating and on boarding the data before they can realize any value out of it. Addressing these concerns is Boston-based Cambridge Semantics which have developed a Smart Data Lake that links and contextualizes the data— structured or unstructured—allowing enterprises to automate big data management in order to best search, discover, and analyze all data without placing any burden on IT.

Cambridge Semantics offers ANZO Smart Data Lake (ASDL), a graph-based data management, data discovery and analytics solution that helps discover hidden relationships in enterprise data, offering unprecedented accelerated insight. While traditional data lake structure relies on merely capturing the name of an entity—an account, a product, or a person— ASDL catalogs data using active metadata management graph models that describe data at a business level, capable of addressing all enterprise data sources. Using a graph based data catalog, Enterprises can then browse and discover data sets of interest in a secure and governed environment. The solution’s role-based security assures that only appropriate users can access, analyze or create new data sets. In addition, ASDL’s data and model governance assure trustworthy data and insights as an enterprise’s Smart Data Lake grows with the scale of its business.

ASDL ingests both structured and unstructured data through horizontally scaled, automated ETL (Extract, Transform, Load) procedures and empowers the users to work with very large datasets of rich data in an interactive timeframe. Also, the solution supports connectivity to both internal and external sources—including cloud or on-premise data lakes. This democratization of data endues the users to find answers across the entire breadth of data without the need of any curation or cleansing.

Using the ANZO Graph Query Engine (AGQE)—ASDL works with the combination of data by deploying semantic graph models to describe every data relationship in graph forms targeted at precise user problems. These contextual models can be stored, re-purposed or, combined for future scenarios.

ASDL’s data and model governance assure trustworthy data and insights as an enterprise’s Smart Data Lake grows with the scale of its business

AGQE is a massively parallel and in-memory graph analytics platform capable of supporting more than a trillion triples (facts and relationships) at lightning speed for interactive analysis. Hence, businesses experience faster turnaround and accelerated insight, all while maintaining better data governance and provenance. John L. Rueter, VP of Marketing, Cambridge Semantics likes to call it, “Having a conversation with data.”

In one instance, a large diversified pharmaceutical company was in a dire need to derive value from third-party data-sets and proactive assessments across varied source of data which was suffering from expanding data-volumes. ANZO enabled users search the knowledgebase, define analytics, answer ad-hoc Common Intelligence (CI) queries, and create interactive executive dashboards that showcase the most relevant information. The client was able to disseminate the most relevant and complete data opportunities to decision makers. Moreover, a considerable number of manual searches were replaced by automated data collection by syndicating ANZO into their platform.

With a constant effort to bring a paradigm shift within the big data scenario, Cambridge Semantics plans to enhance their cloud capabilitiesas cloud computing (ad-hoc) can be made up-and-running without any huge upright investment. “Cloud computing has provided us with unlimited means to make life much easier for the users of our systems from a data-usage standpoint,” lauds Rueter. The company plans to continue its investment in pushing the boundaries and up their ante in their contribution to field of human and data communication.

Cambridge Semantics, Inc.

Cambridge Semantics listed to the DBTA Top 100 Companies That Matters Most in Data

Tuesday, June 20, 2023

BOSTON: Cambridge Semantics, Inc., the leading knowledge graph platform company and creator of the Knowledge Guru application, announced it has been named among the Database Trends and Applications (DBTA) magazine's top 100 companies of 2023 ‘The Companies That Matter Most in Data.’

The list, judged by DBTA's editorial staff, showcases forward-looking companies leveraging current and emerging technologies to help their customers better utilize data. DBTA selected organizations according to their presence, execution, vision, and innovation in data management and analysis.

Cambridge Semantics’ knowledge graph platform, Anzo®, supports organizational data integration initiatives for robust data-driven strategies and analytics. Anzo's ability to address unanticipated questions of structured and unstructured diverse data sources at speed and scale position it as an accelerator for Enterprise adoption of generative AI models.

Cambridge Semantics latest application announcement, Knowledge Guru, brings generative AI technology to the Enterprise. Knowledge Guru eliminates the key generative AI impediments concerning enterprise clients today; e.g., hallucinations, data privacy, and lack of precision. Accurate answers, data provenance, geographic protections and permissions are baseline requirements for Enterprises, as is the protection of client instance data. Knowledge Guru addresses all these requirements.

Organizations trust Cambridge Semantics to deliver a complete, unified enterprise data architecture for solutions key to operational excellence and strategic initiatives.

“We appreciate DBTA’s recognition of all the hard work our team has put in this past year.” said Sean Martin, Founder and CTO at Cambridge Semantics, Inc. “We’ve spent tireless hours helping our customers get their data initiatives off the ground and bring them to production. We couldn’t be more proud of our team and our year of growth and progress.”

Cambridge Semantics Named to the Big Data 75 Companies Driving Innovation in 2023 by Database Trends & Applications

Tuesday, October 10, 2023

Database Trends and Applications (DBTA) includes Cambridge Semantics in the Big Data 75 celebrating companies pursuing data innovation's endless possibilities.

BOSTON, -- Cambridge Semantics, Inc., the leading knowledge graph platform company, announced it has been selected by Big Data Quarterly's to the Big Data 75: Companies Driving Innovation in 2023.

The list of 75 companies, judged by DBTA editorial staff, showcases not only the trendy technologies, such as generative AI, but also the behind-the-scenes critical enabling technology that makes technologies like generative AI viable. DBTA selected organizations according to their presence, execution, vision, and innovation in enhancing data value extraction.

"Behind AI, however, is the workhorse that must be attended to behind the scenes."

– Stephanie Simone, Database Trends and Applications

Cambridge Semantics' powers enterprise data architecture strategies — such as data fabric or data mesh as mentioned in the Big Data 75 — by creating agile, enterprise-scalable, semantically integrated data and data sources via their knowledge graph platform, Anzo®. Anzo makes turning siloed data into enterprise-scale knowledge graphs fast and easy. From there, leading enterprises operationalize the latest and greatest AI technologies. For example, Knowledge Guru, a generative AI application powered by knowledge graph technology, enables anyone in your organization to make real-time decisions backed by accurate, real-time answers.

At Cambridge Semantics, whatever you call your preferred data architecture, we deliver it using knowledge graph technology based on key standards. Our team insists that your foundation determines your outcomes. Any approach that can't quickly semantically integrate multiple data sources spanning both structured and unstructured content, and then rapidly and arbitrarily query across them at scale is fundamentally flawed.

"Cambridge Semantics is thrilled to be a Big Data 75 innovator," said Sean Martin, CTO at Cambridge Semantics, Inc. "Our innovations combine knowledge graphs with concepts from data fabric, data mesh, and the latest of generative AI. Let us help you integrate data with ease."

Top 100 Big Data Solution Companies - 2017

Company
Cambridge Semantics, Inc.

Management
John L. Rueter, VP of Marketing

Description
Offers ANZO Smart Data Lake (ASDL), an end-to-end, fully-integrated, highly-customizable, and governed big data management and exploratory analytic solution for data-driven organizations

Cambridge Semantics, Inc. Accelerating Data Insights, Delivering Answers