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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.

Seeing AI as a Supply Chain: Implications for AI Trust, Transparency, Literacy, & Explainability

Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community.

You're Not Too Late to the AI Party with Joey de Villa

Join Joey de Villa in his engaging Civo Navigate talk, "You're Not Too Late to the AI Party," where he demystifies artificial intelligence and reassures developers of all levels that there's still plenty of time to get involved. Joey's presentation is part technical deep dive, part career advice, and 100% entertaining. He covers the history of AI, current trends, and the ethical considerations we must navigate as this technology evolves. Perfect for software developers, Python enthusiasts, and anyone curious about AI's future.

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.

Executive Summary Episode 6: AI + Human Insights: Partners in Cybersecurity, feat. Rob May

Ivanti’s latest research found that cybersecurity teams are largely positive about the role of AI in protecting against and opposing AI-powered attacks. Yet, despite this optimism, many security professionals lack the proper understanding and defense strategy to address the risks today’s AI threat landscape poses. How can cybersecurity teams prepare themselves to fend off sophisticated AI-powered attacks and leverage AI effectively in their security strategy?

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.

Data Poisoning: The Newest Threat in Artificial Intelligence and Machine Learning

As you integrate artificial intelligence (AI) and machine learning (ML) technologies into your business operations, you’ll notice the sophistication of cyber threats against these systems rising. Among these emerging threats, data poisoning stands out due to its potential to manipulate and undermine the integrity of your AI-driven systems. Understanding and mitigating data poisoning risks will help you maintain the security and reliability of your AI and ML applications.

AI Essentials - Your Gateway to Machine Learning with Kubeflow with Josh Mesout & Rishit Dagli

Join Josh Mesout and Rishit Dagli in our in-depth workshop on Kubeflow as a Service, aimed at demystifying the deployment of machine learning models using open-source tools. This Civo Navigate 24 session caters to participants of all skill levels in machine learning, Kubernetes, and ML infrastructure. It covers foundational aspects of Kubeflow, dives into advanced tools like Llama 2 and Kerve, and showcases how to use these models as cost-effective alternatives to services like ChatGPT.