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Cambridge Semantics Inc. | 4,645 followers on LinkedIn. Cambridge Semantics builds enterprise-scale knowledge graphs to answer your unanswerable questions. | Altair Acquires Cambridge Semantics, Powering Next-Generation Enterprise Data Fabrics and Generative AI. 

Cambridge Semantics Inc. is a modern data management and enterprise analytics software company. Our solutions transform siloed data into enterprise-scale knowledge graphs, revealing previously hidden insights, fueling pervasive analytics, and making previously unanswerable questions answerable.

CEO at Lead Semantics

Prasad Yalamanchi

Ted Jenney

Senior Java Engineer/Architect at Cambridge Semantics

Garry Boyce

Programming Language Guru - Compiler Wizard

Jonathon Bell

Cambridge Semantics Inc.

Cambridge Semantics Inc. is now an Altair company and this page will no longer be active after October 15, 2024. Follow Altair to stay updated with the latest news and updates about Cambridge Semantics and other innovative Altair products. #OnlyForward

We are thrilled to be joining Altair ! Together we will power next-gen enterprise data fabrics and #genAI . Thank you to all of our customers! We will continue to support you as part of Altair and are excited to be your partner in discovering how these combined technologies can best benefit you. #OnlyForward https://bit.ly/4aFEwR2

Thanks KMWorld and Marydee Ojala for honoring Cambridge Semantics among the pivotal companies shaping the future of how knowledge is harnessed! Thank You to all the organizations that continue to trust Cambridge Semantics to... as Sean Martin said, " accomplish what used to be seen as an insurmountable hurdle, harnessing all data and knowledge to be accessible and queryable to any authenticated user." https://lnkd.in/eExidghF #knowledgegraphs #knowledgemanagement

Sean Martin had a conversation with Marydee Ojala in which they discussed making Generational AI consumable for Enterprises. Sean said, "Knowledge graphs ground AI and large language models (LLMs) in context to avoid inaccuracies or hallucinations, increasing the precision of its output. Knowledge graphs: - Simplify access to complex data, both structured and unstructured, to address unanticipated questions. - Quickly profile, connect, and harmonize data from multiple sources. - Present tailored views, services, and experiences to different personas with conceptual models. - Flexibly accommodate new data sources and use cases on the fly, with minimal impact." See Marydee's writeup on the conversation in the link in the comments. #GenAI #dataintegration #knowledgegraphs #llm

Are you in Orlando at Gartner Data and Analytics Summit? Come say hi at booth 1441. We're just across from Theater 4. #KnowledgeGraph #GenAI #DataIntegration #gartnersummit Greg West , Alexander Jewett , Nick Crispinelli , Partha Bhattacharjee

This article aptly describes the role the Anzo platform fills. To be fair, it applies to semantic technologies in general; however, Anzo is enterprise grade and proven usable and scalable in world class enterprises. Well said Karl Canty !

Tune in tomorrow with Sean Martin and KMWorld where we're talking about how Knowledge Graphs make generative AI consumable for Enterprise environments. GenAI deployments must be sensible, viable, and risk-free to prevent companies from erring from problems such as ChatGPT's infamous 'hallucinations' – when it generates nonsensical, inaccurate content. Join us tomorrow for more. https://lnkd.in/ghbDS3EP

Cambridge Semantics CTO Sean Martin joined technology experts from SAP and Dataiku to discuss bringing AI into the Enterprise. Watch the TDWI panel discussion to hear their thoughts on how to implement generative AI solutions. https://lnkd.in/g4QcXGqJ #GenAI #ML #AI #KnowledgeGraph

At Cambridge Semantics, we have watched the explosion of AI awareness in the last year with interest. Nearly every tech leader considering our knowledge graph platform, Anzo, is also actively seeking to integrate artificial intelligence and machine learning into their operations. This drive is fueled by a growing emphasis on harnessing these technologies for enhanced insights and efficiency. There is an immediate obstacle that these organizations face. To leverage AI, whether that be with large language models (LLMs) or other machine learning techniques they will need to connect to clean, well-defined data sources. https://bit.ly/494LZsi

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