TigerGraph announced it is collaborating with Hewlett Packard Enterprise (HPE) and Xilinx, Inc. on a solution to make graph analytics capabilities more accessible for enterprises to accelerate insight while reducing costs and resources. The bundled solution, which is comprised of HPE ProLiant servers using Xilinx accelerator cards and TigerGraphs native parallel graph database, delivers 48x faster time-to-insight and an 18% boost in accuracy, providing more effective real time analytics for things like fraud detection, customer360, and supply chain optimization in manufacturing. Now any company can easily load, process, and analyze massive amounts of data in real time to find key relationships within data and realize the full transformative potential of graph analytics. Companies in every industry from financial services and healthcare to retail and manufacturing need scalable graph technology to answer critical business questions. These key insights help businesses better understand their customers, reduce fraud risk, and optimize their global supply chains. The ability to quickly explore, discover, and predict complex relationships within data is a major competitive differentiator for todays businesses. The TigerGraph-HPE-Xilinx joint solution helps organizations transform structured, semi-structured, and unstructured data within massive silos into an intelligent, interconnected, and operational data network that can reveal insights that support business goals.