Graph + AI World  Keynote: "Accelerating Supply Chain Planning at Jaguar Land Rover from 3 weeks to 45 minutes with Graph"

Graph + AI World Keynote - Recorded September 2020
The automotive supply chain is one of the most complex and global in the world, with the average car being made up of around 4,500 parts from a supply base of 30,000 individual parts, produced by hundreds of suppliers, relying on forecasts issued years in advance. This session will cover how by using graph, Jaguar Land Rover have reduced query times across their complex supply chain model from 3 weeks to 45 minutes allowing them to accurately plan and rapidly pivot in response to supply and demand uncertainties around the Covid-19 pandemic.

Watch the Session

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“We’re not having to torture our data to fit the database and then torture our queries to fit the data we’ve tortured to fit our database - we’re doing it in a way that naturally fits the problem and as a result its much, much quicker to execute.”

Harry Powell

Jaguar Land Rover

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About TigerGraph

TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering organizations deeper insights and better outcomes. TigerGraph fulfills the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset. TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI and machine learning to make sense of ever-changing big data, and is used by customers including Amgen, China Mobile, Intuit, Wish and Zillow, along with some of the world’s largest healthcare, entertainment and financial institutions. 


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