The role of LLMs in enterprise IT feat. Ganesh "Bill" Chellappa
In this episode, we look into how incorporating Large Language Models (LLMs) in IT management is helping redefine how enterprises do business.
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The future with large language models (LLMs) feat. Ramprakash Ramamoorthy
Expanding on our previous topic of large language models in enterprise IT, Ramprakash Ramamoorthy, Director of AI research at ManageEngine and Zoho Corporation, takes it one step further as we dive deeper into the various functions of a business, and the normalization of LLM integration in those operations.
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Taking down (and restoring) the Raygun ingestion API
In a world where Software as a Service (SaaS) products are integral to daily life, maintaining uninterrupted service for end-users is paramount. However, stuff happens. When it does, our most valuable response (other than restoring service ASAP) is to review the series of events that led up to the incident and learn from them. On August 25th, 2023, at 7:02 AM NZT, Raygun experienced a significant incident that impacted our API ingestion cluster, leading to an outage lasting approximately 1 hour and 15 minutes. While this wasn't fun for anyone involved, this incident did prove to be a valuable learning experience, shedding light on the importance of infrastructure management and resilience.
Top tips: 3 surprising ways generative AI can boost your data analysis
Top tips is a weekly column where we highlight what’s trending in the tech world and list ways to explore these trends. When you think about generative AI, what instinctively comes to your mind is content and image generation. But, in this week’s Top tips column, let’s look at a less-explored facet of generative AI: data analytics. There are a lot of conversations about data and its benefits.
Building AI bots on your private data with an open source stack
Join Andrew Zigler, Developer Advocate at Mattermost, in this virtual presentation from AI DevWorld 2023 and learn how you can leverage open source tools to create intelligent bots that help you and your team get ahead in collaboration tasks, without compromising on the security and privacy of your data. We'll cover the ins and outs of working with AI, the importance of data privacy, and explore pathways to safely experiment with AI bots and revolutionize collaborative efforts at your organization.
AI Explainer: What Is Data Cleaning?
In a previous blog post, which was a glossary of terms related to artificial intelligence, I included this brief definition of "data preprocessing": It is common for people familiar with these matters to talk about not having clean data. When dealing with AI for whatever your needs are, clean data is crucial for the quality of results. Garbage in, garbage out, as they say. So, let’s dive into what it means to have clean data.
From Open Source to Tomorrow: The Evolution of Dev Collaboration with Docker CTO Justin Cormack
Explore the ever-evolving world of collaboration in software development with Justin Cormack, CTO of Docker.
Monitor your OpenAI usage with Grafana Cloud
In the ever-changing field of artificial intelligence, OpenAI is consistently seen as a leader in innovation. Its AI models, starting with GPT-3 and now with GPT-4, are already used extensively in software development and content creation, and they’re expected to usher in entire sets of new systems in the future.
The Role of Generative AI and Large Language Models in IT Operations
Artificial intelligence, particularly generative AI and large language models have changed how we approach IT operations, cybersecurity, and observability. And though we can point to measurable benefits and outcomes from applying LLMs to ITOps, there is also a lot of speculation to deal with. Phillip Gervasi, Director of Technical Evangelism at Kentik, and Christoph Pfister, Chief Product Officer at Kentik, discuss what generative AI and LLMs are, how they can be used to improve IT operations, and what the future might hold.