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Graph Databases: A Different way to analyze the world - By TigerGraphDB
Abstract: As the world becomes more interconnected, graph databases have come into their own analyzing data from connections among people, products, services, locations and organizations. As of July 2018, total market capitalization of Facebook, Google, Alibaba and Amazon is approaching 3 Trillion dollars, reflecting the immense value of insights from interconnected data. The session will cover most compelling business use cases powered by graph databases including detecting fraud and money laundering in real-time, delivering personalized real-time recommendations for eCommerce and building customer 360 for credit risk estimation and ongoing monitoring. Use cases and graph based solutions covered in the session span multiple industries including Telecommunications, Banking, Financial Services and eCommerce. Customer case studies include: Wish.com - Drive real-time product recommendations to increase in eCommerce order value (world's sixth largest eCommerce site) China Mobile - Detect fraud in real-time across 460 million subscribers Alipay/Alibaba - Detect fraud and money laundering in real-time for peak payment volume of 256,000 transactions per second and over 2 billion transactions per day IceKredit - Build customer 360 for sub-prime and near-prime borrowers to transform credit markets in United States, China and Southeast Asia VIsa - Assess impact of component outage and capacity overflow for complex, interconnected network & IT infrastructure The session includes overview of underlying technology, the graph database as well as how graph is being combined with machine learning to improve accuracy of machine learning systems. Speaker Bios - Gaurav Deshpande, Vice President of Marketing, TigerGraph Gaurav leads all marketing functions at TigerGraph, world’s fastest graph database deployed at some of the world’s largest enterprises including Uber, Visa, Alipay and Wish.com. A seasoned technology executive, Gaurav comes to TigerGraph with a proven track-record in leading teams in creating new products, establishing new markets and dominating industries. During his tenure at IBM, he spent 15 years overseeing marketing for the company’s Artificial Intelligence, Blockchain and Cloud portfolios for the Banking and Financial markets, Telecommunications and Retail. He also built out and positioned IBM’s Big Data and Analytics portfolio, driving 45 percent year-over-year growth. Before IBM Gaurav led two startups through explosive growth, i2 Technologies and Trigo Technologies. At i2 Technologies, he grew the company’s Supply Chain Management portfolio from three customers to over 250 Fortune 1000 clients, driving over 500 million dollars in annual revenue. At Trigo Technologies, Gaurav led the Master Data Management portfolio through 200 percent revenue growth leading to acquisition by IBM.

Divergence Academy

14683 Midway Road, Suite 145 · Addison, TX

    Past Meetups (54)

    What we're about

    Want to discuss Data Science techniques such as Apache Spark, Apache Drill, Apache Parquet, have a cool Scala idea, love to Dabble or Enhance Systems with Mahout, or you want to learn about Hadoop or NoSQL (SOLR, MongoDB, Casandra), Column DB (Apache Parquet) - then this group is for you. Veteran or novice - come and learn. Everything and anything used as a tool by an experimenter is fair game.

    Our goal is to meet once a month, come rain or shine. For now, it is the first Monday of the month. Regardless if the event is actually stated on the calendar.

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