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Taloflow raises $1.3M to automate the soul-sucking software vendor selection process

Taloflow, a Y Combinator W21-batch company, has raised $1.3 million in funding. This investment comes from Wonder Ventures, First Check Ventures, and many notable founders, including the founders of PEER 1, Sacra, and Hootsuite, who share our vision for software vendor selection. Today also marks the launch of our collaborative AI notebook – two years in the making – which automates the research to evaluate tech vendor capabilities for any use case in dozens of B2B categories.

2024 SRE Report: AI is not replacing human intelligence anytime soon

Automation cast a shadow over the future of work for many years. Generative AI (GenAI) is now the latest innovation stealing all the headlines, fueling countless debates and fears about machines taking over human jobs. However, our 2024 SRE Report offers a perspective that challenges this notion.
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AI engineering for AI Error Resolution

Smart engineering teams are working out how to use Large Language Models (LLMs) to solve real business problems. At Raygun, we're no exception, and we're committing our time and effort to developing AI software applications that bring value to our customers. Our first AI-powered release is AI Error Resolution (AIER), a novel Crash Reporting feature that takes debugging with ChatGPT to the next level. We know that LLMs have already dramatically increased software engineers' productivity.

Logz.io Upgrades App 360, Kubernetes 360 with AI Assistant, New Tracing Quickview

At Logz.io, we believe the future of observability will center on the rapid advancement of automation, innovations around artificial intelligence, and streamlining processes that currently remain far too complex. This is no different than many other areas of technology, but the opportunities in observability are vast, and we see all of these areas connecting and driving improvements to the Logz.io Open 360 platform.

Generative AI: A Boon with Hidden Burdens for IT

The landscape of artificial intelligence has undergone a seismic shift in recent times. The rise of Generative AI (GenAI) tools like ChatGPT has sparked a revolution, with applications blossoming across various industries. According to recent estimates, 54% of companies had integrated GenAI into their business processes by November 2023. This level of adoption is remarkable, given the nascent stage of these technologies.

Relieving the IT Burden: A Sneak Peek at Martello's AI Strategy

Authors: Randah McKinnie – VP Product at Martello, Doug Bellinger – Martello CTO Since large language models and image generators burst onto the scene about a year and a half ago, AI has sparked a mix of excitement, wonder and controversy. Everybody knows it’s a game-changer and no one wants to be left out — even if they’re not quite sure what to do with it yet.

Deploy GenAI applications with Canonical's Charmed Kubeflow and NVIDIA NIM

It’s been over two years since generative AI (GenAI) took off with the launch of ChatGPT. From that moment on, a variety of applications, models and libraries were launched to address market needs and simplify enterprise activity. As Deloitte observes in its State of Generative AI Q2 2024 report, organisations are now at a stage where they are ready to move beyond pilots and proof of concepts and start creating value – but bringing AI models to production can prove highly complex.

Create Personalized Knowledge Articles Faster and Smarter with Gen AI

Maintaining a deep catalog of knowledge articles to inform end users is an essential — yet often tedious — requirement for IT teams. But generative AI is offering a big assist. By using AI in knowledge bases, service desk agents who used to spend two or three hours creating each knowledge article from scratch can create drafts in minutes.

How to Source the Right Data to Create Versatile RAG Workflows

In the information age, businesses increasingly rely on data to drive decisions, automate processes, and deliver personalized experiences. According to a Forbes article, 90% of enterprise businesses say data is increasingly important. This shows that making assumptions or simply following your gut feeling will not help. You must start relying on data analyzed by artificial intelligence (AI) technologies.

Introducing Aiven's AI Database Optimizer: The First Built-In SQL Optimizer for Enhanced Performance

Increase database performance by 10x with an expert, AI-driven, professional available 24/7. An efficient data infrastructure is a vital component in building & operating scalable and performant applications that are widely adopted, satisfy customers, and ultimately, drive business growth. Unfortunately, the speed of new feature delivery coupled with a lack of database optimization knowledge is exposing organizations to high risk performance issues.