Blog Posts
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Crypto Slate – January 2019 by Dr. Jans Aasman, CEO, Franz Inc. If organizations could only augment blockchain’s strengths—its immutability, security, and decentralization—while addressing its latency and scalability issues, it could become the vaunted enterprise tool it was initially intended. That day will soon come courtesy of Directed Acyclic Graphs (DAGs). Blockchain’s premise is straightforward, … Continue reading Going Beyond Blockchain with Directed Acyclic Graphs (DAG)
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Dataversity – January 2019 Noam Chomsky, the philosopher, cognitive scientist, historian, social critic, and father of modern linguistics, has authored over 1,000 articles and 130 books. The 89-year-old intellectual also has written films and appeared in many documentaries. The substantial work he has done in linguistics and politics has earned him the title of “most … Continue reading The Semantic Knowledge Graph: A Tribute
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Dataversity – January 2019 What to expect of Semantic Web and other Semantic Technologies in 2019? Quite a bit. DATAVERSITY engaged with leaders in the space to get their thoughts on how Semantic Technologies will have an impact on multiple areas. Dr. Jans Aasman, CEO of Franz Inc. was quoted several times in the article: … Continue reading Semantic Web and Semantic Technology Trends in 2019
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AI Business – December 2018 2019 will be a crucial year for the Internet of Things for two reasons. Firstly, many of the initial predictions for this application of big data prognosticated a future whereby at the start of the next decade there would be billions of connected devices all simultaneously producing sensor data. The IoT is … Continue reading 2019 Trends In The Internet Of Things: The Makings Of An Intelligent IoT
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Dataversity – December 2018 There’s a general consensus throughout the data ecosystem that Data Preparation is the most substantial barrier to capitalizing on data-driven processes. Whether organizations are embarking on Data Science initiatives or simply feeding any assortment of enterprise applications, the cleansing, classifying, mapping, modeling, transforming, and integrating of data is the most time … Continue reading Solving Knowledge Graph Data Prep with Standards
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Database Trends and Applications – December 2018 You can call it the new oil, or even the new electricity, but however it is described, it’s clear that data is now recognized as an essential fuel flowing through organizations and enabling never before seen opportunities. However, data cannot simply be collected; it must be handled with … Continue reading AllegroGraph named to 2019 Trend-Setting Products
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Published in SD Times – December, 2018 Knowledge is the foundation of intelligence— whether artificial intelligence or conventional human intellect. The understanding implicit in intelligence, its application towards business problems or personal ones, requires knowledge of these problems (and potential solutions) to effectively overcome them. The knowledge underpinning AI has traditionally come from two distinct methods: statistical … Continue reading Knowledge Graphs — The path to true AI
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From a Quora post by Alan Morrison – Sr. Research Fellow at PricewaterhouseCoopers – November 2018 The most interesting use is the most powerful: standard RDF graphs for large-scale knowledge graph integration. From my notes on a talk Parsa Mirhaji of Montefiore Health System gave in 2017. Montefiore uses Franz AllegroGraph, a distributed RDF graph … Continue reading What is the most interesting use of a graph database you ever seen? PWC responds.
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From an AI Business Article by Jelani Harper – November 2018 The propagation of the enterprise’s ability to capitalize on data-driven processes—to effectively reap data’s yield as an organizational asset, much like any other—hinges on data governance, which arguably underpins the foundation of data management itself. There are numerous trends impacting that foundation, many of … Continue reading 2019 Trends in Data Governance: The Model Governance Question
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From Forbes Technology Council – October 2018 This article discusses the facets of machine learning and AI: Lauded primarily for its automation and decision support, machine learning is undoubtedly a vital component of artificial intelligence. However, a small but growing number of thought leaders throughout the industry are acknowledging that the breadth of AI’s upper cognitive … Continue reading AI Requires More Than Machine Learning
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