ML

AI Generative AI Large Language Models

The most important AI trends in 2024

AI is growing at a frenetic pace – just look at how things changed over the course of 2023! So, what AI developments should we expect in 2024? In this video, IBM Master Inventor Martin Keen discusses this very topic and offers nine trends to watch out for in 2024 … and possibly a 10th?

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Containers Red Hat

KubeCon EU 2024 Preview: Exploring the Clouds with Aparna Subramanian

With KubeCon EU in Paris around the corner (19th to 22nd March), what better way to get some insight on what is expected than by speaking to people directly involved in the event. Aparna Subramanian is a technologist and cloud-native enthusiast. She started her career as a Software Engineer and has spent most part of […]

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AI Open Source Red Hat

Unlocking the Potential of AI: The Role of Consistent Platforms

AI isn’t going away. OpenShift AI helps customers solve some of their challenges by operationalizing both traditional and generative AI projects. Why should customers think of Red Hat for AI? Steven Huels, GM for Red Hat’s AI Business Unit, describes how OpenShift AI provides a consistent and flexible AI platform for an ever-changing ecosystem as […]

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AI Generative AI Large Language Models MLOps

LLMOps Demystified: A Deep Dive into Large Language Model Operations

Machine learning operations (MLOps) is an important process to make sure Machine Learning applications remain operational, but before you apply the same process to your large language models (LLM), Martin explains why and how LLMs need to be treated differently and the process known as LLMOps

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AI MLOps Open Source Red Hat

Breaking Barriers: How OpenShift AI Connects MLOps and DevOps

The use of generative AI to create meaningful services that help businesses and people has accelerated over the last year. OpenShift AI bridges the gap between data scientists who are creating the models in the MLOps world and the application developers creating applications in the DevOps world. Learn more: https://red.ht/openshift_ai

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AI Large Language Models

What Makes Large Language Models Expensive?

Amidst the buzz surrounding the promising capabilities of large language models in business, it’s crucial not to overlook a practical concern: cost. In this video, Jessica Ridella, Jessica Ridella, IBM’s Global Sales Leader for the watsonx.ai generative AI platform, delves into seven pivotal factors crucial for understanding generative AI in the enterprise. She explores elements […]

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AI Career Machine Learning

How I’d learn ML in 2024 (if I could start over)

In this video, Boris Meinardus shares how he would learn Machine Learning in 2024 if he could start over. For the past 3 years, I have been studying machine learning (and 2 years before that basic computer science), which has now led me to work with an amazing ex-Meta professor, collaborate with Google DeepMind researchers, […]

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AI AWS Generative AI

C-suite leaders talk Generative AI and Its Applications (AWS re:Invent 2023)

Join AWS Applications VP, Dilip Kumar, for a panel session with C-suite leaders from Asana, DISH, and Woodside Energy on how generative AI is changing the way we think about business outcomes, customer service, and employee happiness. This innovation talk covers the processes and systems that generative AI will transform in organizations and the challenges […]

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