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Gartner predicts that data and analytics innovations fueled by graph technology will increase 7x by 2025, and 30% of organizations worldwide will use graph technology in the decision-making process by 2023. However, even though graph technologies have been around for 15+ years, it has mostly been in the past till now as a niche play, limited to advanced R&D and early exploration on small datasets. In this talk, we will share common themes from our enterprise customers’ main motivation to adopt graph technology like TigerGraph, how our product and solution capabilities are able to accelerate their adoption journey, and our on-going innovation pipeline to make graph technologies mainstream by catering towards the growing needs from enterprises in data, analytics and AI. You will get a chance to not only learn how innovators and early adopters (UnitedHealth Group, Intuit and Land-rover Jaguar) adopted TigerGraph for their use case, but also to learn from most recent adopters like XBox (Microsoft), JP Morgan Chase and Mercedes Benz. The increasing speed of adoption and the diversity of the use cases from the latest adopters clearly indicates that we are very close to cross the chasm to make Graph Technology mainstream via latest progress in graph technologies like TigerGraph.
Knowledge Graph, Graph Data Science
Knowledge Graph, Graph Data Science
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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