Gartner estimates that the graph database and analytics market will grow 100% annually from 2019 to 2022. That kind of explosive growth begs the question - What’s New? Many data scientists understand the key use cases such as customer 360, explainable AI, fraud detection, machine learning and recommendation engine powered by a graph database and analytics, but what are the foundational capabilities delivered by this transformational technology? This hands-on workshop will take the attendees through the TigerGraph Cloud, demonstrating seven key data science capabilities with TigerGraph’s intuitive GUI, GraphStudio and GSQL queries. In this workshop, we will: Cover client case studies for Amgen, Intuit, Wish.com, and other enterprise customers
Share the capabilities and tie those to specific use cases (customer 360, explainable AI, fraud detection, machine learning, recommendation engine, referral networks) across industries such as banking, healthcare, pharmaceutical, retail, telecom and more.
Walk you through multiple TigerGraph starter kits - sample dataset, GraphStudio UI flow, and GSQL queries demonstrating the capabilities with exercises for the attendees, where they can experience each capability
Enjoy lunch and network with other graph enthusiasts
See different use cases in automation industry and Industrial IoT (IIoT) where an event streaming platform adds business value.
Understand different architecture options to leverage Apache Kafka and Confluent.
How to leverage different analytics tools and machine learning frameworks in a flexible and scalable way.
How real-time visualization ties together streaming and batch analytics for business users, interpreters, and analysts.