AllegroGraph’s FedShard Technology Underpins Flexible AI Knowledge Fabrics
Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Graph Database technology for Knowledge Graph Solutions, today announced it has been named to KMWorld’s AI50 – The Companies Empowering Intelligent Knowledge Management. Underscoring Franz’s technology leadership in Graph-based AI, the company’s Knowledge Graph Platform, AllegroGraph, was relied upon for market research in leading analyst reports, including Forrester’s Now Tech: Multimodel Data Platforms, Q1 2021 and the Gartner Case Study: Entity-Event Knowledge Graph for Powering AI Solutions (Montefiore).
“A spectrum of AI technologies, including machine learning, natural language processing, and workflow automation, is increasingly being deployed by sophisticated organizations,” stated KMWorld Group Publisher Tom Hogan, Jr. “Their goal is simple. These organizations seek to excel in an increasingly competitive marketplace by improving decision making, enhancing customer interactions, supporting remote workers, and streamlining their processes. To showcase knowledge management solution providers that are imbuing their offerings with intelligence and automation, KMWorld created the AI50: The Companies Empowering Intelligent Knowledge Management.”
“Franz Inc. has a rich, innovative Artificial Intelligence history and we are honored to receive this acknowledgement for our efforts in delivering scalable AI Knowledge Graph Solutions,” said Dr. Jans Aasman, CEO, Franz Inc. “We are seeing demand for Intelligent Data Fabrics take off across industries along with recognition from top technology analyst firms that Knowledge Graphs provide the critical foundation for Data Fabric solutions. AllegroGraph 7 with FedShard™ uniquely provides companies with the foundational environment for delivering Graph based AI solutions with the ability to continually enrich and contextualize the understanding of data.”
“AI solutions are often hindered by fragmented data and siloed point solutions,” according to Gartner’s Chief Data and Analytics Officer Research Team. “Montefiore’s data and analytics leader used semantic knowledge graphs to power its AI solutions and achieved considerable cost savings as well as improvements in timeliness and the prediction accuracy of AI models.” Source: Gartner Case Study: Entity-Event Knowledge Graph for Powering AI Solutions (Montefiore)
“You can use multimodel data platforms (MMDPs) to become significantly more productive, deliver consistent and trusted data across applications and insights opportunities, and support modern business applications quickly,” said Noel Yuhanna, VP, Principal Analyst, Forrester. “But to realize these benefits, you’ll first have to select from a diverse set of vendors that vary by size, functionality, geography, and vertical market focus.” (Source: Now Tech: Multimodel Data Platforms, Q1 2021)
As Gartner Analyst Mark Beyer explains in his report titled, Graph Steps Onto the Main Stage of Data and Analytics: A Gartner Trend Insight Report, “Graph technology has played a small but powerful role in advanced analytics for more than two decades. Now that digital business has introduced expanded tools, platforms and techniques, data and analytics leaders can also leverage graph for data science, metadata management and data management.”
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