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 Database Trends and Applications – 100 Companies that Mater Most in Data. Underscoring Franz’s technology leadership in Data 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).
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“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.”
“The past 15 months have provided an object lesson for all organizations in the importance of being agile and moving swiftly to address new challenges and opportunities. If companies were not dealing with enough already with burgeoning data volumes, expanding regulatory mandates, and new data security concerns, the ongoing pandemic added to the pressure and created heightened urgency for real-time, data-driven insights as well as more ubiquitous data access,” stated DBTA Group Publisher Tom Hogan, Jr. “Spanning a spectrum of approaches, the DBTA 100 showcases forward-looking companies that are improving and expanding upon existing technologies and processes to help their customers use data more effectively.”
“Franz Inc. has a rich, innovative history and we are honored to receive this acknowledgement for our efforts in delivering scalable Knowledge Graph Solutions,” said Dr. Jans Aasman, CEO, Franz Inc. “In the past year, we have seen 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 Enterprise-Wide Data Fabrics. AllegroGraph 7 with FedShard uniquely provides companies with the foundational environment for delivering Data Fabric 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)
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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.”