Generative AI in Fintech: 4 Use Cases for Driving Customer Engagement

Financial services firms were one of the first to be disrupted by the Internet and mobile platforms. Thus, it was one of the first to see technology-first financial services firms (fintechs) emerge to address customer pain points. High stock trading fees? eTrade solved that problem, and forced everyone to reassess the consumer stock trading revenue …

RT-2: New model translates vision and language into action

Introducing Robotic Transformer 2 (RT-2), a novel vision-language-action (VLA) model that learns from both web and robotics data, and translates this knowledge into generalised instructions for robotic control, while retaining web-scale capabilities. This work builds upon Robotic Transformer 1 (RT-1), a model trained on multi-task demonstrations which can learn combinations of tasks and objects seen …

What is the vulnerability management lifecycle?

Every month, the National Institute of Standards and Technology (NIST) adds over 2,000 new security vulnerabilities to the National Vulnerability Database. Security teams don’t need to track all of these vulnerabilities, but they do need a way to identify and resolve the ones that pose a potential threat to their systems. That’s what the vulnerability …

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Build intelligent applications with Neo4j Knowledge Graphs and Google Cloud generative AI

In this blog post, we’re going to show you how to use two technologies together: The generative AI functionality in Google Cloud Vertex AI, an ML development platform, and Neo4j, a graph database. Together these technologies can be used to build and interact with knowledge graphs. The code underlying this blog post is available here. …