JOIN US FOR AN IN-DEPTH GRAPH DISCUSSION
Gartner describes graph as the 4th most important data and analytics trend that will change your business and estimates that the graph market will grow 100% annually from 2019 to 2022.
In fact, they emphasise that graph will be the key enabler for machine learning, AI, and complex analytics and will underpin use cases such as customer 360, fraud detection, machine learning, supply chain management and recommendation engine optimisation. This kind of endorsement and explosive growth begs the question. “What’s new and what are the capabilities delivered by this transformational technology?” In this webinar, we will:
- Share the capabilities and tie those to specific use cases (customer 360, fraud detection, supply chain management, machine learning, recommendation engine) currently in production across industries such as banking, manufacturing, pharmaceutical, retail, telecom and more.
- Walk you through selected TigerGraph use cases, based on the TigerGraph Cloud starter kits, sample datasets, GraphStudio UI flow, and GSQL queries.
