In today’s economic headwinds, organizations are looking for ways to make workers more productive and drive operational efficiency. Generative AI—where machines “understand” human language and respond to and act on it—can make that happen. That's why I’m excited to announce ServiceNow® Generative AI Controller and Now Assist for Search.

You probably have been hearing a lot about automation and artificial intelligence (AI) these days, with a vision of some kind of AI-driven world that will take all of our jobs away. The reality is that there’s always too much work to do. AI and automation are more likely to help people get their jobs done more efficiently rather than take them away. Basic automation can have large returns for the network – and improve the quality of work.

Network monitoring is a challenging job because networks continue to evolve to meet ever-changing client requirements. Businesses today heavily depend on their networks, and even a short outage can lead to penalties and lost profits. This is why your monitoring tool must also transform itself to not only scale as you grow but offer new features that address new challenges posed by the increasing usage demands placed on your network.

Customer expectations aren’t what they used to be. Emerging technology trends have elevated the customer experience by bringing personalization and automation to the forefront. With these strides, companies have increased their customers’ expectations ten-fold. To meet rising customer expectations, the only solution is AI. While we’re only scratching the surface, here are a few ways AI can help improve your customer engagement.

The use of statistics, advanced algorithms and AI/Ml is becoming omnipresent. The benefits are visible in every walk of life, from web searches, to movie and retail recommendations, to auto-completing our emails. Of course, not many anticipated the dramatic entrance of generative AI in the form of ChatGPT for writing college essays and poetry on arcane topics.

OpenAI is an AI research and development company whose products include the GPT family of large language models. Since the introduction of GPT-3 in 2020, these models’ fluent and adaptable processing of both natural language and code has propelled their rapid adoption across diverse fields. GPT-4, ChatGPT, and InstructGPT are now used extensively in software development, content creation, and more.

Digital code behind a digitized face Welcome back to our series with Nicholas Wegman, Ph.D., Senior Director of Artificial Intelligence and Alex Barnes, Senior Director of Product Management, as they continue to discuss the science behind Artificial Intelligence (AI) and reveal how it can specifically increase retail/CPG margin. In the second part of our three-part series, we’ll delve deeper into the data science of AI, and why it’s not working for every business.

Seems like everyone is building a ChatGPT thing right now, doesn’t it? Well we are too! Inspired by so many others, we decided to see what AI could do with our simplified analytics and observability data. Turns out, it can do quite a lot. I’m thrilled to share that we’ve shipped our first AI insights chatbot, Professor Sloth.

The release of ChatGPT in November of 2022 elicited excitement from all corners of the internet. It could write code, diagnose patients, ace exams, write books and more — all in a matter of seconds. Yet, many people were left underwhelmed by the results. Inputting “write a blog post about…” resulted in bland and formulaic articles no one wanted to read. The AI doomers could breathe a sigh of relief as it became apparent AI wasn’t coming for tech jobs any time soon.