Cracking the code of complex systems. It's not the 'Matrix'. 🕶️ A primer on Networks and Graphs. 🕸️ Networks represent the connections between discrete…
Graph Theory and Its Implications: A Quantitative Point of View
Graph Theory and Its Implications: A Quantitative Point of View In the technical universe of quantitative finance, graph theory has been gaining prominence… | 15 comments on LinkedIn
Graph Theory and Its Implications: A Quantitative Point of View
Supply chain data analysis and visualization using Amazon Neptune and the Neptune workbench | Amazon Web Services
Many global corporations are managing multiple supply chains, and they depend on those operations to not only deliver goods on time but to respond to divergent customer and supplier needs. According to a McKinsey study, it’s estimated that significant disruptions to production now occur every 3.7 years on average, adding new urgency to supply chain […]
Hierarchical Navigable Small World (HNSW) is one of the most efficient ways to build indexes for vector databases. The idea is to build a similarity graph and traverse that graph to find the nodes that are the closest to a query vector
We have seen recently a surge in vector databases in this era of generative AI. The idea behind vector databases is to index the data with vectors that relate… | 30 comments on LinkedIn
TODA, EMS & Graphs – New Enterprise Architectural Tools For A New Age
Change & Risk Require New Enterprise Tools As AI systems, bots (both digital and physical), AI leveraged smart digital identities, and IoT devices invade your enterprise, it increases the pace of change and risk. This brief article focuses on why you should be deploying TODA, EMS and graphs in your
TODA, EMS & Graphs – New Enterprise Architectural Tools For A New Age”
Global Graph Analytics Market Analysis Report 202: A $6.9 Billion Market by 2028 from $1.14 Billion in 2022 - Increasing Adoption of Graph AI & Surge in Adoption of Machine Learning
Dublin, April 24, 2023 (GLOBE NEWSWIRE) -- The "Global Graph Analytics Market: Analysis By Component, By Deployment, By Enterprise Size, By Application,...
Visualize Graphs in the Browser With Just a Few Lines of the New Orb Code
Orb is an open-source library developed by Memgraph you can use to visualize graphs by adding just a few lines to your frontend code. This blog post will show you all the cool features Orb offers and how to implement them in your project. Or don't and have slow and appalling graph visualizations - it's your choice. Seriously, use it... it's very easy and fun!
Graph analytics and knowledge graphs facilitate scientific research for COVID-19
State of the art in analytics and AI can help address some of the most pressing issues in scientific research. Here is how top scientists are using them to facilitate coronavirus research.
Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7
A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its offering.
NBA analytics and RDF graphs: Game, data, and metadata evolution, and Occam's razor
Three-point shooting, Steph Curry, and coming up with stories. If you feel like doing your own analysis to investigate hypotheses or discover insights at any level, RDF graph's got your back. Case in point: The NBA.
2019 will be another 'Year of the Graph': OpenCorporates is evidence No. 1
Graph databases are crossing the chasm to mainstream use cases, adding features such as machine learning to their arsenal and becoming more cloud and developer friendly. Last year was a breakout year, and graph database growth and evolution is well under way in 2019.
Nvidia Rapids cuGraph: Making graph analysis ubiquitous
A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs.
The biggest investment in database history, the biggest social network ever, and other graph stories from Neo4j
A $325 million Series F funding round, bringing Neo4j's valuation to over $2 billion. A social network of 3 billion people, distributed across 1000 servers. The latter is a demo; the former is not. But both are real signs that the graph market and Neo4j are getting huge.
Apollo GraphQL announces $130 Million Series D Funding, wants to define its own category
GraphQL is a specification that came at just the right time to address an age-old issue in software engineering: service integration. Apollo's implementation is seeing lots of traction, and it just got more gas in the tank for its grand vision that goes well beyond integration
Cloud, microservices, and data mess? Graph, ontology, and application fabric to the rescue.
Knowledge graphs are probably the best technology we have for data integration. But what about application integration? Knowledge graphs can help there, too, argues EnterpriseWeb.