Operations | Monitoring | ITSM | DevOps | Cloud

Building smart data platforms with AI to drive business innovation

Imagine a world where databases not only store vast amounts of data but autonomously optimize themselves, predict future trends, and seamlessly integrate with AI. In this Data (R)evolution episode, we share a fascinating conversation with Soumya Bijjal, the VP of Product at Aiven, and John Joseph Kennedy, the Head of Databases at Aiven, about the future of AI, databases, and data platforms. They dissect the current AI landscape, the challenges companies face, and the transformative potential of integrating AI with data systems.

Real-world Observability AI: An Interactive Chat with Logz.io IQ Assistant

There’s so much hype around the use of AI in observability — but how does that translate into making tangible progress with your day-to-day tasks? At Logz.io we’ve introduced an AI-based chatbot assistant to the Open 360 platform that automatically delves into your stack, fine-tunes your workflows and enables conversation directly with your systems and data.

Top 5 reasons to use Ubuntu for your AI/ML projects

For 20 years, Ubuntu has been at the cutting edge of technology. Pioneers looking to innovate new technologies and ideas choose Ubuntu as the medium to do it, whether they’re building devices for space, deploying a fleet of robots or building up financial infrastructure. The rise of machine learning is no exception and has encouraged people to develop their models on Ubuntu at different scales.

Is Your Data Center Ready for AI? 3 Hidden Bottlenecks You Need to Know

The rapid adoption of Generative AI (GenAI) tools like ChatGPT is transforming how businesses operate. These tools hold immense potential, impacting everything from marketing campaigns to legal research and software development. A recent study by PwC found that a staggering 54% of companies had integrated GenAI into their workflows as of November 2023 – a testament to the technology’s rapid adoption. However, this rapid integration presents challenges for IT leaders.

How is AI Transforming Truck Accident Prevention in St. Louis?

St. Louis, Missouri, is a central hub for a significant portion of the country's cargo and freight transportation. However, with the convergence of major highways, the city faces a significant challenge with a large influx of truck traffic. Unfortunately, this raises the likelihood of severe accidents. These accidents result in significant economic losses and profoundly impact the lives of those involved and their families.

The Trends Of Large Language Models Development

The healthcare industry is witnessing a transformative wave driven by the rapid advancement of generative AI and Large Language Models (LLMs). These cutting-edge technologies have the potential to revolutionize various aspects of healthcare, from medical documentation and research to personalized treatment plans and drug discovery. As the adoption of generative AI continues to grow, it's imperative to understand the trends and implications of this powerful technology in the healthcare domain.

Accelerating Innovation with MLOps Mastery

Machine Learning Operations (MLOps) is a methodology that combines machine learning (ML) with the principles of DevOps to streamline the development, deployment, and management of ML models. It addresses the unique challenges associated with operationalising ML, such as model versioning, reproducibility, and scalability.

Introducing Raygun AI Error Resolution for Aspire

Last month, we rolled out Raygun4Aspire, our Crash Reporting client for.NET Aspire applications. That release included a free, lightweight version of the full Raygun web app that runs locally. After the successful launch of our recent AI Error Resolution feature for Crash Reporting, we knew that we had to bring this feature into the Aspire local development experience. Today, we’re thrilled to announce that AI Error Resolution for Raygun4Aspire is now available for all Aspire app developers!