Operations | Monitoring | ITSM | DevOps | Cloud

Get granular LLM observability by instrumenting your LLM chains

The proliferation of managed LLM services like OpenAI, Amazon Bedrock, and Anthropic have introduced a wealth of possibilities for generative AI applications. Application engineers are increasingly creating chain-based architectures and using prompt engineering techniques to build LLM applications for their specific use cases.

How to navigate the connectivity challenges of generative AI

Most of us are aware that generative AI offers opportunity for innovation and efficiency where it is revolutionising how businesses operate. However, its impact is not fully understood. Earlier this year, Console Connect conducted a survey by Arlington Research which engaged 1,000 global CTOs and senior leaders to gain a better understanding of the challenges and demands associated with gen AI adoption.

Unveiling the Future: ScienceLogic's AI Vision

Hear about our game-changing AI innovations! Join our exclusive keynote with our CEO, Dave Link and our Chief Product Officer, Mike Nappi, to: Explore our cutting-edge AI platform developments Discover how our breakthroughs outpace industry standards Learn how these AI advancements will transform your business Get a sneak peek into the AI technologies that will redefine productivity, creativity, and decision-making across industries.

Predictive Analytics Pipelines: Real-World AI, Predictive Maintenance, and Time Series Data

There’s so much talk about AI these days that it seems we quickly forget that AI isn’t a single type of technology. It’s a category, almost an umbrella term for a wide range of different technologies, applications, and approaches. The terms “Generative AI” and “Machine Learning AI” (often referred to as “Real-World AI”) describe two different branches that fall under the broader AI heading.

AI As It Stands: Unpacking IT Trends at SolarWinds Day

The SolarWinds IT Trends Report 2024 – AI: Friend or Foe? indicated tension in the IT industry’s outlook on artificial intelligence (AI). While there is excitement about its potential to drive productivity, concerns linger around data quality, security, and regulation. At the recent SolarWinds Day event, I sat down with Krishna Sai, Senior Vice President of Engineering, and Cullen Childress, Senior Vice President of Product Management.

The Role of Marketing Automation in Streamlining Business Operations

Marketing, a cornerstone of business success, is a constantly evolving field. Embracing automation through integration or Artificial Intelligence (AI) technology and other digital tools can give your organization a competitive edge. In the world of digital technology, the consistently increasing number of marketing channels may be challenging. Automation is a solution for this challenge because it helps streamline various aspects of operations, from lead generation to customer management.

How is Technology Impacting the Healthcare Industry

Before AI-based healthcare technology, healthcare was often slow and limited. Doctors relied mostly on their own knowledge and simple tools. Patients had to wait a long time for appointments and test results. Keeping track of medical records meant stacks of paper files. Today, AI-based healthcare tech is changing everything. Smart machines help doctors spot diseases faster and more accurately. Patients can talk to healthcare providers through their phones or computers. Robots even assist in complex surgeries.

2.5X faster and 88% cheaper error resolution with GPT-4o mini and Raygun

In May, GPT-4o was released, refining the GPT-4 architecture with native multi-modal input support, faster speeds, and a cheaper price per token. This week, with the release of GPT-4o mini, it’s even more cost-effective and quicker. This model is considered better than GPT-3.5 Turbo, being faster and smarter—a win all around. Let’s put it to the test in a real-world application to see just how good it is for software developers.