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The Debrief: Building AI-Related Incidents

Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features? In this episode, you'll hear from Rob and Isaac, both Product Engineers who played a really critical role in the building out of related incidents, to get a peek behind the curtain.

Revolutionizing Customer Service with Generative AI - Infraon

Ready to revolutionize your customer service game? Join us as we explore the exciting world of Generative AI in our latest video. Discover how this cutting-edge tech is transforming customer interactions, providing personalized and efficient support experiences. We'll show you how Generative AI works hand-in-hand with human agents, streamlining tasks and ensuring prompt responses around the clock, no matter the time zone.

Exploring Tech's Influence on Cutting-Edge Annual Reports

In the era of digital transformation, the business landscape has evolved dramatically. This progression is vividly evident in the realm of annual reports, where technology has sculpted a cutting-edge revolution. No longer are annual reports confined to bland, printed documents. Instead, they've morphed into dynamic, interactive digital experiences that powerfully communicate a company's successes, challenges, and aspirations. This transformation has not only redefined how information is presented but also reshaped stakeholder engagement, making transparency and accessibility a new norm in business communications.

The Impact of Technology on Modern-Day Legal Practice

Modern technology has rvolutionizd the way lgal professionals approach their work. By harnssing th powr of technology, lawyrs can now lvrag advancd tools and softwar to perform tasks that wr onc tim consuming and labor intnsiv. For xampl, lgal rsarch, which usd to involv manual sarchs through numrous books and lgal databass, can now b don with a fw clicks of a button. Onlin databass and sarch ngins have provided lawyrs with accss to vast rpositoris of lgal information at thir fingrtips, dramatically incrasing th spd and accuracy of thir rsarch.

Building a GPT-style Assistant for historical incident analysis

Like most things, our AI Assistant started out as an idea. One of our data scientists, Ed, was working with our customers to improve our existing insights. But the most common theme that kept surfacing was the wide-range of use cases that our customers wanted to use insights for. Using this user feedback as our inspiration, we came up with the idea of a natural language assistant that you can use to explore your incident data.

The Debrief: incident.io, say hello to AI

This week was a particularly exciting one for us at incident.io. We launched not one, not two, but four AI-powered features to help folks get the most out of their incidents. In this episode of The Debrief, we sit down with Ed Dean, Product Analyst, and Charlie Revett, Product Engineer, to talk through all of these features and discuss how they're already making a measurable impact. You'll also hear them talk about: You can learn more about our AI features here.

EMA explores Elastic AI Assistant for Security

Spoiler alert: it’s great! Elastic Security has been making waves among busy security analysts everywhere with the launch of Elastic AI Assistant. Whether it’s synthesizing alert details and suggesting next steps, or the recent addition from Elastic 8.11 to generate ES|QL queries from natural language, there’s a lot to love about Elastic AI Assistant for security efforts.

AI at Splunk: Trustworthy Principles for Digital Resilience

There’s no doubt AI will radically reimagine the way we live, work and interact. It will empower new ways to solve business challenges and deliver customer value, but such a widespread impact requires a holistic approach. Building AI responsibly is one thing, but embedding trust into every aspect of our AI strategy is another entirely – and that’s what Splunk sets out to do.

Lessons learned from building our first AI product

Since the advent of ChatGPT, companies have been racing to build AI features into their product. Previously, if you wanted AI features you needed to hire a team of specialists to build machine learning models in-house. But now that OpenAI’s models are an API call away, the investment required to build shiny AI has never been lower. We were one of those companies. Here’s our journey to building our first AI feature, and some practical advice if you’ll be doing the same.

Make AI Writing Undetectable with These Helpful Tips

Artificial Intelligence (AI) has revolutionized the writing field, proving itself a capable author of anything from news articles to short stories. However, one of the common challenges people face is making AI-generated text sound as human and natural as possible. Namely, AI-generated text can be identified by its lack of personal touch, and writers need to create their content that could effectively engage and entice readers. So how can one make AI writing undetectable and incorporate it seamlessly into their work? Let's explore some helpful tips.