Blog Posts
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From AI Business June 27, 2018 This article covers Single Schema, Universal Taxonomies, Time Series Analysis, Accelerating Data Science and features some thought leadership from Franz Inc.’s CEO, Jans Aasman: ‘Contemporary data science and artificial intelligence requirements simply can’t wait for this ongoing, dilatory process. According to Jans Aasman, CEO of Franz, they no longer have to. … Continue reading The Cornerstone of Data Science: Progressive Data Modeling
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Artificial intelligence has the potential to make huge improvements in just about every aspect of healthcare. Learn how Montefiore Health Systems is using semantic data lakes, architectures, and triplestores to power AI patient-centered learning. With origins in post-9/11 municipal emergency projects, Montefiore Health Systems platform – called PALM, short for patient-centered Analytical Learning Machine – is … Continue reading Using AI and Semantic Data Lakes in Healthcare – FeibusTech Research Report
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From the New York Times – June 20, 2018 This article caught our attention because they featured a startup that was using Prolog for AI. We have been strong proponents of Prolog for Semantic Graph solutions for many years. For the past five years, the hottest thing in artificial intelligence has been a branch known … Continue reading New York Times Article – Is There a Smarter Path to Artificial Intelligence?
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From Global Banking and Finance Review – July 12, 2018 This article discusses Knowledge Graphs for Anti-Money Laundering (AML), Suspicious Activity Reports (SAR), counterfeiting and social engineering falsities, as well as synthetic, first-party, and card-not-present fraud. By compiling fraud-related data into an AI knowledge graph, risk management personnel can also triage those alerts for the right action at the … Continue reading Optimizing Fraud Management with AI Knowledge Graphs
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Franz’s CEO, Jans Aasman, recently wrote the following article for InfoWorld. The ability to visualize data, their relationships to one another and connections to business objectives gives organizations the power to uncover insights that would otherwise elude them. Data visualizations have pervaded nearly every aspect of today’s data landscape. Initially conceived of as a means … Continue reading Why dynamically visualizing relationships in data matters
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Wolters Kluwer, a long time AllegroGraph customer, recently spoke with Alex Woodie at Datanami to describe how they are using AI tools such at AllegroGraph: Thousands of companies around the world rely on Wolters Kluwer’s practice management software to automate core aspects of their businesses. That includes doctor’s offices that use its software make healthcare … Continue reading How AI Boosts Human Expertise at Wolters Kluwer
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Franz’s CEO, Jans Aasman, recently wrote the following article for InfoWorld. AI knowledge graphs can augment security analytics by linking knowledge together to pinpoint relationships and patterns related to security issues pertinent to an organization. Each successive instance of data compromises (and their escalating repercussions) is a veritable case study for the necessity of security … Continue reading Solidifying security analytics with artificial intelligence knowledge graphs
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Triples offer a way of describing model elements and relationships between them. In come cases, however, it is also convenient to be able to store data that is associated with a triple as a whole rather than with a particular element. For instance one might wish to record the source from which a triple has … Continue reading The Most Secure Graph Database Available
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Franz periodically distributes newsletters to its Semantic Technologies, and Common Lisp based Enterprise Development Tools mailing lists, providing information on related upcoming events and new software product developments.
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Franz’s CEO, Jans Aasman, recently wrote the following article for InfoWorld. The temporal benefits of cognitive knowledge graphs can affect almost any business problem, including basic issues of data management such as data quality, data cleansing, and integration The concept of time presents several distinct challenges for data management, particularly as it applies to databases … Continue reading Navigating time in knowledge graphs
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