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observo ai

Advantages of an AI-Powered Observability Pipeline

Mar 26, 2024 By Bryan Turriff In Observo.ai
The expenses associated with collecting, storing, indexing, and analyzing data have become a considerable challenge for organizations. This data is growing as fast as 35% a year, multiplying the problems. This surge in data comes with a corresponding rise in infrastructure costs. These costs often force organizations to make decisions about what data they can afford to analyze, which tools they must use, and how and where to store data for long-term retention.
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Ubuntu AI | S2E4 | AI on public cloud: what should you know?

Mar 26, 2024 By Canonical In Canonical
Weka report from 2024 showed that 47% of respondents will use the public cloud as the primary place to develop their machine learning projects. This is a result of a correlation of factors which include the need for compute power, easy scalability, and the ability to utilise existing infrastructure already in place on both hybrid clouds and public clouds. Join us to talk more about AI on the public cloud: what are the main benefits and what are the best practices an organisation could implement in order to easier adopt AI and leverage the most the public clouds.
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splunk

Continual Learning in AI: How It Works & Why AI Needs It

Mar 26, 2024 By Muhammad Raza In Splunk
Like humans, machines need to continually learn from non-stationary information streams. While this is a natural skill for humans, it’s challenging for neural networks-based AI machines. One inherent problem in artificial neural networks is the phenomenon of catastrophic forgetting. Deep learning researchers are working extensively to solve this problem in their pursuit of AI agents that can continually learn like humans.
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opsmatters

How Computer Vision is Revolutionizing Industries

Mar 26, 2024 By OpsMatters In OpsMatters
Computer vision is a field of artificial intelligence that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs - and take actions or make recommendations based on that information. At a high level, computer vision involves processing visual data using algorithms and deep learning models to mimic human vision. The computer analyzes patterns and features in visual data to identify objects, faces, scenes, and actions.
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Aiven

Max Pagel, SensorFlow: Amplifying Advancement with AI

Mar 25, 2024 By Florian Engel In Aiven
SensorFlow’s Co-Founder and CTO on using technology to do more with less and why the platform approach will always win Like many entrepreneurs, Pagel’s step into business was borne out of a desire to do things differently. His founder journey began in 2016 in Singapore — a place he still calls home today. While working as a research associate at a university, he became frustrated with the science ecosystem and how it all worked.
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2bcloud

Mastering Azure OpenAI Costs and Capacity: Strategies for Efficient Cloud Management

Mar 25, 2024 By Dudi Amir In 2bcloud
In the rapidly evolving world of cloud computing, Azure OpenAI has emerged as a cornerstone for businesses seeking to leverage advanced artificial intelligence (AI) capabilities. Developed through a collaboration between Microsoft and OpenAI, this managed service has transformed how organizations build and deploy large language models (LLMs), integrating seamlessly with Microsoft services such as GitHub Copilot, Power BI, Designer, and Office 365.
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circleci

From MLOps to LLMOps: The evolution of automation for AI-powered applications

Mar 25, 2024 By Jacob Schmitt In CircleCI
Machine learning operations (MLOps) has become the backbone of efficient artificial intelligence (AI) development. Blending ML with development and operations best practices, MLOps streamlines deploying ML models via continuous testing, updating, and monitoring. But as ML and AI use cases continue to expand, a need arises for specialized tools and best practices to handle the particular conditions of complex AI apps — like those using large language models (LLMs).
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