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Cambridge Semantics
United States
เข้าร่วมเมื่อ 6 มี.ค. 2016
Cambridge Semantics is a modern data management and enterprise analytics software company. Our solution Anzo® is a scalable knowledge graph platform for modern data integration and analytics. Anzo dramatically simplifies and accelerates the integration, modeling, and blending of siloed data into insight-rich knowledge graphs at enterprise scale, revealing previously hidden insights, fueling pervasive analytics, and making previously unanswerable questions answerable. Anzo is built on AnzoGraph®, the fastest & most scalable knowledge graph engine supporting data integration, graph algorithms, data warehouse-style analytics, feature engineering for Machine Learning, and more. The company delivers solutions that enable IT departments and business users across Life Sciences, Financial Services, Government, Manufacturing, and other industries to accelerate data delivery and provide meaningful insights across the organization at hyper-speed and scale.
Knowledge Guru Demo - Accuracy with Generative AI and Knowledge Graph
With Knowledge Guru output’s are verifiably accurate, reliable, and transparent. There are no generative AI hallucinations. For more information on Knowledge Guru visit: cambridgesemantics.com/knowledge_guru/
มุมมอง: 458
วีดีโอ
Mind the Data Gap | Anzo Knowledge Graph Demo
มุมมอง 534ปีที่แล้ว
When building a Data Fabric powered by knowledge graph, silos of data can be modeled in relation to each other while still preserving their native context and integrity. This method of discovery and harmonization can assist in uncovering the holes within enterprise data. This is an Anzo Knowledge Graph Demo.
Supply Chain Risk Analysis with Anzo's Network Navigator
มุมมอง 3342 ปีที่แล้ว
Here at Cambridge Semantics we build sustainable solutions that break down data silos and enable enterprise collective intelligence. This is accomplished via Anzo, our lightweight knowledge graphs overlay covering all existing data sources, structured and unstructured. This opens the doors for our customers in many ways. info.cambridgesemantics.com/a-knowledge-graph-use-case-demo-showcase Lever...
Power a 360 view of operations via knowledge graph
มุมมอง 2302 ปีที่แล้ว
Here at Cambridge Semantics we build sustainable solutions that remove data silos and enable enterprise collective intelligence. This is accomplished via Anzo, our standards-based knowledge graph overlay that connects and contextualizes all your data sources, structured and unstructured. Helping customers achieve levels of insight and decision advantage that otherwise would not be possible. inf...
Building a Regulatory Data Fabric from Publicly Available Sources with Knowledge Graph
มุมมอง 2532 ปีที่แล้ว
Cambridge Semantics helps build sustainable solutions that break down data silos and enable enterprise collective intelligence. This is accomplished via Anzo, our standards-based knowledge graph overlay that connects all your data sources, structured and unstructured. Helping customers achieve levels of insight and decision advantage that otherwise would not be possible. info.cambridgesemantics...
Semantic Product Lifecycle Management with Knowledge Graphs
มุมมอง 5443 ปีที่แล้ว
This use case demo is about semantic Product Lifecycle Management (PLM) and how knowledge graphs can help enable it. Product structures are multidimensional hierarchies by nature. Product life cycles are usually split up by phases and disciplines, which naturally create silos. Due to mass production and strong dynamics the automotive industry is one of the most complex manufacturing related ind...
Building Momentum | Knowledge Graph Best Practices
มุมมอง 2483 ปีที่แล้ว
Educating Others About Knowledge Graph and Getting Support for the Project As a software company with decades of experience in knowledge graph technology and applications, we are sharing our knowledge and experience to others because we understand the need is great and will affect positive outcomes for data management and decision making. Just as we are creating awareness and educating readers ...
Knowledge Graph Best Practices | An Introduction
มุมมอง 4083 ปีที่แล้ว
This video kicks off a series of best practices for getting a knowledge graph project off the ground. From consideration, to evaluation, to implementation, to expansion and everything in-between. Increasingly, there is a shared and growing understanding of the strategic importance of data and the need to maximize value from data. Large enterprises are pursuing what has been dubbed, Digital Tran...
An Integrated Data Enterprise: Getting Started on Building Your Data Fabric
มุมมอง 6913 ปีที่แล้ว
A data fabric is more than just a design concept for enterprise data architecture; instituting a data fabric in an enterprise constitutes a familiar change in attitude about how data is perceived and treated in the enterprise. Why is it familiar? Because this change is in line with prevailing attitudes for what is required for digital transformation as a whole. Digital transformation changes ho...
An Integrated Data Enterprise: Knowledge Graph Technology for a Data Fabric
มุมมอง 8003 ปีที่แล้ว
A data fabric must be built on some technology. We believe knowledge graph technology is the best way to achieve a successful data fabric or data mesh.
An Integrated Data Enterprise: Why a data fabric wins out over traditional architecture
มุมมอง 1.4K3 ปีที่แล้ว
Data fabric architecture is motivated by typical data architecture failure modes common to enterprise data systems and shared data situations.
The differences between Data Fabric, Data Mesh, Data-centric revolution, FAIR data
มุมมอง 4.7K3 ปีที่แล้ว
This is the first post of a series titled “An Integrated Data Enterprise.” A variety of concepts have been developed about how to manage data that is distributed. None of these really constitutes a “solution” as it were; they are developments in thinking about data management, all of which are responding to the same issues we talk about in The Rise of the Knowledge Graph. As such, the boundarie...
Obstacles to building knowledge cards of your data
มุมมอง 853 ปีที่แล้ว
Practically speaking, technology is no longer an obstacle. In my experience it is important to “prepare” the culture. Why? Recall that most of the work to answer questions entails searching and preparing data for analysis. Over time, users have developed their identity as “hunter gatherers” and many perceive this new approach as a threat to their job. So it becomes important to inculcate an und...
Build knowledge cards of your data, the way Google does for search
มุมมอง 4933 ปีที่แล้ว
To accomplish this kind of (what seems easy) data visibility for a simple query, you must have data tied to knowledge representation. This means, you need to begin stitching together your data with a knowledge graph platform to create your data fabric. The data fabric being the metadata layer that ties your simple search query to all the common results a user would want surfaced, forming your v...
KGC Trailblazers
มุมมอง 2643 ปีที่แล้ว
In this panel discussion leaders from Bosch, Merck KGaA, and Deloitte share their vision for knowledge graph technology and describe how they are translating that vision into reality within their own Digital Twin, Regulatory Data Fabric, and Operational Resilience initiatives. With a focus on sharing pragmatic topics and real world lessons learned, the discussion will focus on the strategic vis...
5 Common Barriers to Launching a Knowledge Graph Project
มุมมอง 1983 ปีที่แล้ว
5 Common Barriers to Launching a Knowledge Graph Project
Ontology Management with a Scaleable Knowledge Graph
มุมมอง 1.3K3 ปีที่แล้ว
Ontology Management with a Scaleable Knowledge Graph
A Data Fabric Market Update with Guest Speaker, VP, Principal Analyst Noel Yuhanna
มุมมอง 8393 ปีที่แล้ว
A Data Fabric Market Update with Guest Speaker, VP, Principal Analyst Noel Yuhanna
Cambridge Semantics at Data Summit 2020
มุมมอง 1473 ปีที่แล้ว
Cambridge Semantics at Data Summit 2020
CSI at the Connected Manufacturing Forum 2020
มุมมอง 383 ปีที่แล้ว
CSI at the Connected Manufacturing Forum 2020
AnzoGraph DB: Driving AI and Machine Insights with Knowledge Graphs in a Connected World
มุมมอง 9774 ปีที่แล้ว
AnzoGraph DB: Driving AI and Machine Insights with Knowledge Graphs in a Connected World
Using a Semantic and Graph-based Data Catalog in a Modern Data Fabric
มุมมอง 4.2K4 ปีที่แล้ว
Using a Semantic and Graph-based Data Catalog in a Modern Data Fabric
Thank you for this video! Thank you for honouring Sir Bernard Lee!
How to get map view in hires dashboard
very intriguing product offering to say the least , however , am concerned about the statistical validity of such ontological relationships and properties within the assumed structure of the graph knowledge ? your feedback is highly appreciated
Thank you very much this helped me a lot with my paper. Was having a hard time understanding it before this.
It'd be really helpful if you made a series on the Semantic Web including topics like Linked Data, Ontology, Semantic Web Layers.
Very well explained. Thank you
Wicked cool😀
But same info can be classified in multiple ways and will change over time?
Great simple explanation!
Hmm very interesting. Although I actually appreciate that these applications are siloed and don't share information between each other. I don't want Facebook/Instagram to know what I'm doing on LinkedIn and vice versa.
Is Anzo free?
Web 1.0 was driven by idealism Web 2.0 was driven by profit Web 3.0 is being driven by idealism again. It may not work out :)
Blockchain links the data! Amazing video
Sounds great, I'm just learning about that concept. Are we anywhere near a working implementation of that?
happy pride month!
nice
fantastic summary and easy to understand. Thank you!
Great series. Thanks! I am looking forward to the next video. I understand the value of the concepts but how do I introduce that to my organization? These videos are great for answering that.
Great explanation. Thanks!
I’m surprised this guy found time to give a presentation given all the time he spends screaming at people on Twitter 🤣🤣
Thanks bruh even i don`t even understand
5:42 As the Web 1.0 enabled you to not have to think about where the information was sitting - the network layer, and the machine layer, the semantic web enables you to not have to think about particular document location. It connects basic information up.
ok so, one major issue here is that if the data is valuable, then it essentially loses all value as it's made public?
With NFTs a digital signature can be appended to it. This confers provable ownership hence value can be preserved
Can you add the Zeppelin notebooks link?
Here is the link to the Zeppelin notebooks: info.cambridgesemantics.com/hubfs/anzograph/zeppelin_notebooks_Intro_to_RDF-Star.zip
Finally a proper web3 video! Most web3 as decentralized things is a bogus 😞
It is decentralized. Once you have the internet of semantics (Web 3.0), information itself is decentralized over the entire web and not just pockets of the web that we call web apps/sites today.
Who updates the 'facts' if different websites have different documents stating different facts then people can decide the facts, but in my understanding semantic web has one place where Facts are stored, so who would decide that fact.
the jews
The latest docker does not appear to need kubernetes.
The sound of the video is really hurting ears.
thanks
Great intro to semantic Web thank you
Incredible thank you very much!
Summary: In web 1.0, the network was abstracted away and we could just click on hyperlinks to access documents. In web 2.0, we got applications that were interactive and dynamic. web 3.0 will allow us to share the data directly. the links will be between this data/information/facts ! this semantic web abstracts away any application or documents and just represents directly the information. this video blew my mind.
But how do you actually go about connecting "information"?
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Loved tge vedio