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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.

Delivering Generative AI Solutions in the Enterprise with James Gress

Join James Grass, Senior Technology Architect at @Accenture as he delves into the impact of generative AI on enterprise solutions. Learn about the latest advancements, challenges, and practical applications in the field, including insights on OCI, Coher, and ChatGPT. Discover how organizations are leveraging AI to transform their processes and stay ahead in a rapidly evolving technological landscape.

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.

Ep. 20 Is AI the Future of Infrastructure Management? with Yonit Gruber Hazani

Cloud Control welcomes Yonit Gruber-Hazani, a customer engineer at Google focused on helping public sector organizations in Israel through digital transformation journeys with the cloud. Yonit shares her experience in technology, including her roles as a DevOps SRE team lead and open source contributor. She also discusses her time at Waze, where she managed their infrastructure of over ten thousand servers.

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.