Operations | Monitoring | ITSM | DevOps | Cloud

Generative AI is all the buzz these days with the popularity of platforms and tools such as ChatGPT, Bard, Scribe, Jasper, and others experiencing exponential growth. This is a technology that has come to the fore with the force of a runaway train that’s bringing us head long into the future at the speed of light. It is transforming everything we do from writing code to making travel plans. And cybersecurity is no exception.

Are business outcomes, with the potential to make or break an organization’s future, becoming more important than they’ve ever been before? It sure seems that way. Embarking on the journey of business growth despite a treacherous path of challenges, all departments are biting at the bit for stability, solid strategies, and a reliable plan for what’s ahead.

We’ve all been there: at that frustrating moment when you have a problem or an urgent need and the customer support line is busy. Endless searching for answers turns up nothing that matches your predicament. That’s the friction ServiceNow teams are diving into headfirst to provide each of our customers satisfactory answers with promptness that matches the urgency they feel. Generative AI is helping the teams improve customer support at a rapid pace.

Operational efficiency is as critical within the IT and engineering teams as any other part of the business. Automating repetitive tasks and reducing escalations within and to these teams is of immense value. While automation saves time and boosts productivity, the complexity of developing automation can be a limiting factor and bottleneck. Generative AI is a paradigm shift here, in that it brings consumer-style simplicity to assisting in the development of enterprise-grade automation.

Vertex AI is Google’s platform offering AI and machine learning computing as a service—enabling users to train and deploy machine learning (ML) models and AI applications in the cloud. In June 2023, Google added generative AI support to Vertex AI, so users can test, tune, and deploy Google’s large language models (LLMs) for use in their applications.

Artificial intelligence is certainly a hot topic right now, but what does it mean for the networking industry? In this post, Phil Gervasi looks at the role of AI and LLM in networking and separates the hype from the reality.