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New – AllegroGraph v8 – Neuro-Symbolic AI Platform
Today we announced AllegroGraph 8.0, a groundbreaking Neuro-Symbolic AI Platform that incorporates Large Language Model (LLM) components directly into SPARQL along with vector generation and vector storage for a comprehensive … Continue reading New – AllegroGraph v8 – Neuro-Symbolic AI Platform
For additional information, see Here
Readers’ Choice – “2023 Best Knowledge Graph”
Franz Inc., is proud to announce it has been named the “Best Knowledge Graph” in the 2023 KMWorld Readers’ Choice Award voting. According to KMWorld, Technologies such as knowledge graphs, … Continue reading Readers’ Choice – “2023 Best Knowledge Graph”
Enterprise AI World – Using Knowledge Graphs & Data Fabric as a Pillar for AI
Hype or no hype, organizations have seen a significant spike in capabilities around advanced knowledge engineering and AI abilities thanks to advancements in higher computing and abundance of open source … Continue reading Enterprise AI World – Using Knowledge Graphs & Data Fabric as a Pillar for AI
AI 100 Top Company – Franz Inc.
Franz Inc. is proud to announce it has been named an “AI 100 Top Company.” AllegroGraph provides organizations with essential Knowledge Graph solutions, including Large Language Models (LLMs), Graph Neural … Continue reading AI 100 Top Company – Franz Inc.
IEEE – Entity Event Knowledge Graph for Powerful Health Informatics
As part of Franz’s participation in the IEEE – ICHI conference, our paper has been published and is available from the IEEE Website. ICHI 2022 is a premier community forum … Continue reading IEEE – Entity Event Knowledge Graph for Powerful Health Informatics
Linguistic Reduction and Knowledge Graphs for Next-Gen Chatbots
Dr. Jans Aasman and Dr. Richard Wallace were recently published in AIThority. Chatbots are dynamic agents with the express capability to engage in conversational interactions. By applying innovative linguistic reduction … Continue reading Linguistic Reduction and Knowledge Graphs for Next-Gen Chatbots
AllegroGraph Semantic Layer for Databricks (Delta Lake)
This AllegroGraph tutorial is available on our Github Examples page. Databricks is a popular choice for hosting lakehouses – a new architecture that unifies data storage, analytics, and AI on one platform. On … Continue reading AllegroGraph Semantic Layer for Databricks (Delta Lake)
Essilor’s Knowledge Graph for Global Supply Chain Risk Management
Essilor, part of the EssilorLuxottica SA group (which sells global brands such as Ray-Ban, Oakley and Varilux among many others), is a French-based vertically integrated, multinational ophthalmic optics company and … Continue reading Essilor’s Knowledge Graph for Global Supply Chain Risk Management
Authentic Meets Artificial – The New Intelligence – DM Radio Broadcast
Understanding the world around us increasingly involves Artificial Intelligence. Once the stuff of elite corporations, the barrier has now dropped substantially, and practically anyone can get in on the game! … Continue reading Authentic Meets Artificial – The New Intelligence – DM Radio Broadcast
Embedding Gruff In a Web Page
Gruff can be embedded in any web page to use Gruff inside your own web site or web application. The file embedding.html in the Gruff installation folder provides a complete … Continue reading Embedding Gruff In a Web Page
Graph Analytics with AllegroGraph and Apache Spark
AllegroGraph enables users to export data out of their Knowledge Graph and perform graph analytics with Apache Spark, one of the most popular platforms for large-scale data processing. Users immediately … Continue reading Graph Analytics with AllegroGraph and Apache Spark
IEEE Publication – Transmuting Information to Knowledge with an Enterprise Knowledge Graph
The enterprise knowledge graph for entity 360-views has emerged as one of the most useful graph database technology applications when buttressed by W3C standard semantic technology, modern artificial intelligence, and visual discovery tools. Read this IEEE publication by Dr. Jans Aasman to learn more about Knowledge Graphs.
For additional information, see here
Kafka Graph Streaming Pipeline with AllegroGraph
AllegroGraph is used very often as an Entity Event Knowledge Graph platform. Our customers use the entity-event approach in diverse settings like a call center, a hospital, in insurance, in aviation and even in finance. AllegroGraph as an entity-event knowledge graph will accept incoming events, do instant queries and analytics on the new data and then store events and results. AllegroGraph is geared to high speed inserts so in general can keep up with high business loads but for several reasons it is advantageous to couple AllegroGraph with Apache Kafka. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
Gruff v9 – Now Available!
New Features Include:
By augmenting Knowledge Graphs with visualizations, users can determine insights that would otherwise elude them. Gruff’s dynamic data visualizations increase users’ understanding of data by instantly illustrating relevant relationships, hidden patterns and data’s significance to outcomes. Gruff also helps make data actionable by displaying it in a way that decision-makers can see the significance of data relative to a business problem or solution.
Gruff enables users to create visual knowledge graphs that display data relationships in views that are driven by the user. Ad hoc and exploratory analysis can be performed by simply clicking on different graph nodes to answer questions. Gruff’s unique ‘Time Machine’ feature provides the capability to explore temporal context and connections within data. The visual query builder within Gruff empowers both novice and expert users to create simple to highly complex queries without writing any code
- Now Browser Based
- Graphical View with new “Time Machine” feature – See the shape and density of graph data evolve over time
- Tabular view – Understand objects as a whole
- Outline view – Explore the often hierarchical nature of graphs
- Query view – Write Prolog or SPARQL queries
- Graphical Query Builder – Create queries visually via drag and drop
For additional information, see the Gruff Documentation
LEARN MORERecent Articles about Franz
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Tomorrow’s Machine Learning Today: Topological Data Analysis, Embedding, and Reinforcement Learning
read articleCalifornia utilities should have used digital twin technology instead of power shutoffs
read articleEarth Day – Franz Inc. and Geoscience Experts Recognize the Growing Importance of Semantic Knowledge Graphs for Earth Science
read articleSeeking an edge: Exploiting alternative big data sources and customer data for financial gain
read articleDataconomy article – Triple Attributes: A New Way to Protect the Most Sensitive Information
read articleAnalyticsWeek article – Better than Master Data Management: Building the Ultimate Customer 360 with Artificial Intelligence
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Analytics Week – Implementing Personalized, Precision Medicine with Artificial Intelligence and Semantic Graph Technology
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Bloor Research Positions Franz’s AllegroGraph as a ‘Champion’ and Highest Ranked in Graph Database Market
read articleVirtual Strategy Magazine article – Why Semantics & Data Linking is Vital to Artificial Intelligence
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Knowledge Management World article – How does precision medicine become a reality? The Semantic Data Lake for Healthcare makes it possible
read articleHealthIT Analytics article – Semantic Computing, Predictive Analytics Need Reliable Metadata
read articleComputer Technology Review article – Cognitive Computing is Turning Precision Medicine into a Reality
read articleDatabase Trends and Applications article – Franz Updates Graph Analytics Platform with Dynamic Data Visualization
read articleCIO Review article – Franz Inc.: Making Complex Data Meaningful with Semantic Graph Analytics
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HealthITAnalytics article – Semantic Big Data Lakes Can Support Better Population Health
read articleFranz’s CEO, Jans Aasman to Present at the Enterprise Data World Conference in San Diego
read articleFranz Inc. – Named to Trend-Setting Products in Data and Information Management for 2018 by Database Trends and Applications
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HealthIT Analytics article – Montefiore Semantic Data Lake Tackles Predictive Analytics
read articleFranz Inc. Recognized Among Top 10 Analytics Solution Providers 2016 by Pharma Tech Outlook
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virtual-strategy.com – Why Semantics & Data Linking is Vital to Artificial Intelligence
read articleODBMS.org article – “On data analytics for finance. Interview with RavenPack’s Jason S.Cornez.”
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Bloor Research Positions AllegroGraph as a “Champion”.
A graph database is one that stores data in terms of entities and the relationships between entities. A variant on this theme are RDF (resource description framework) databases which store data in the format subject-predicate-object, which is known as a triple.
Both graph and RDF databases may be native products or they may be built on top of other database types. Most commonly, other database types are forms of NoSQL database though there are some relational implementations.
Read the Bloor Research Report – Graph Databases
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