Name: Graph Done Right: Graph Machine Learning or the Future of AI
Start: 2023-10-18T20:49:00Z
End: 2023-10-18T20:50:02.000Z
Location: BrightTALK
Rating: 0

ArangoDB is the company behind ArangoGraph: a next-generation graph data and analytics platform that uncovers insights in data that are difficult or impossible with traditional SQL, document, or even other graph databases – making it easier to drive value from connected data faster. ArangoGraph Insights Platform is the scalable backbone for graph analytics and complex data architectures for Global 2000 enterprises and innovative startups across many industries, including technology, financial services, healthcare, telecommunications, and many more.

The networking world is rapidly evolving. People are realizing that the traditional databases were not purpose-built to handle the array of complex connections that make up the enterprise stack. Graph Databases can be a huge enabler for the complexity of legacy systems, and ArangoDB has Graph, Document, and Search capabilities combined seamlessly to provide a Next Generation architecture.   
 
Join us for this webinar with HPE where they will share how they achieved next-level performance using ArangoDB.
 
Powered by ArangoDB, HPE Aruba Networking Central is a cloud-based networking solution that empowers IT with AI-powered insights, intuitive visualizations, workflow automation, and edge-to-cloud security to manage campus, branch, remote, data center, and IoT networks from one dashboard.
 
What you will learn:

- The challenges HPE faced with traditional databases and infrastructure 
- Why HPE turned to ArangoDB for improved network management and performance
solutions
- The benefits HPE achieved using ArangoDB for network management

Next-gen Network Management with Performance, Availability, and Security

Graphs have become increasingly popular across various fields in recent times. In the first segment of our "Graph Done Right" series, we will explore the factors that make graphs a potent tool and their suitability for different applications. Our discussion will revolve around topics such as graph databases, graph analytics, and graph machine learning, and we will also explore the interconnectivity among these domains.

Graph Done Right: What and Why Graph?

In the second installment of our Graph Done Right Series, we will explore how Graph Machine Learning can exceed the limitations of traditional Machine Learning. We can achieve superior and faster results by leveraging the interconnections and relationships in real-life datasets. Our discussion will begin by examining real-world applications of Graph Analytics and then delve into how modern Graph Machine Learning techniques can provide more profound and scalable insights.

Graph Done Right: Graph Machine Learning or the Future of AI

Graph Database

Graph Machine Learning

Machine Learning

Graph Analytics

Insights

Analytics

Data Analytics

Data Analysis

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Graph Done Right: Graph Machine Learning or the Future of AI

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