Data Analytics

Franz Named a Company that Matters in Knowledge Management

2021 MultiModel Data Platform Analyst Report and Entity-Event Knowledge Graph Case Study Showcase Franz’s Unique Knowledge Graph Technology

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 a KMWorld 100 Company that Matters in Knowledge Management. Underscoring Franz’s technology leadership in Knowledge Management, 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).

“Flexibility, agility and the ability to pivot are attributes that have become critical to forward-thinking companies—and that is particularly the case now,” said Tom Hogan, Group Publisher at KMWorld. “Successful organizations don’t want to merely survive; they want to dominate their market sectors. But to do that, they need the right tools and products. Amidst the dramatic changes taking place today, innovative organizations are seeking new approaches to improve their processes. The 2021 KMWorld 100 is a list of leading-edge Knowledge Management companies that are helping their customers to expand access to information, leverage new opportunities, and accelerate growth.”

“We are honored to be recognized again by KMWorld as a leader in the Knowledge Management industry,” said Dr. Jans Aasman, CEO of Franz Inc. “Organizations across a range of industries are realizing the critical role that Knowledge Graphs play in creating rich, yet flexible enterprise data fabrics and AI-driven applications. In just the past couple of years, we have helped our customers create large-scale, multimodel and innovative knowledge graph solutions for diverse use cases, such as healthcare real-time AI decision support, NLP 360 customer intelligence with real-time agent support, and social network data privacy compliance.”

“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))

“AllegroGraph 7’s support of Entity-Event Data Modeling is the most welcome innovation and addition to our arsenal in reimagining healthcare and implementing Precision Medicine,” said Dr. Parsa Mirhaji, Director of Center for Health Data Innovations at the Albert Einstein College of Medicine and Montefiore Health System, NY. “Precision Medicine is about moving away from statistical averages and broad-based patterns. It is about connecting many dots, from different contexts and throughout time, to support precision diagnosis and to recommend the precision care that can take into account all the subtle differences and nuisances of individuals and their personal experiences throughout their life. This technology is about saving lives, by leveraging data, context and analytics and is what Franz’s Entity-Event Data Modeling brings to the table.”

“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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