Search for tag: "artificial intelligence"

Putting AI to work for talent

Want to turn HR challenges into opportunities? Find out how organizations are using AI to help recruit and develop the talent that fits their business needs. After you've watched the episode,…

From  chq_master_librarians

IBM watsonx at the Masters

IBM works with the Masters to design, develop, and deliver the digital experiences found in the Masters app and website. This year, IBM Consulting is using generative AI models developed with IBM…

From  chq_master_librarians

Reimagine Supply Chain Ops with Generative AI to Unlock New Operational Efficiencies

Gain valuable insights into leveraging AI and machine learning to empower your supply chain workforce, enabling proactive and predictive operational strategies.

From  chq_master_librarians

Hole Insights with IBM watsonx

IBM uses watsonx to manage the entire lifecycle of generative AI models that instantly reveal the risks and rewards for every shot on every hole at the Masters. The moment a shot comes to rest, the…

From  chq_master_librarians

What the EU AI Act means for you and how to prepare

Webinar explaining the EU AI Act and how to act so that your business is in accordance.

From  chq_master_librarians

Accelerate your time to market by embedding AI Assistants in commercial solutions

Embedding AI in customer care solutions delivers streamlined operations, enhanced customer interactions, seamless integration, tailored customization, scalable performance, robust data security, and…

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Putting AI to work for marketing

The unprecedented rise of AI has the potential to fundamentally revolutionize the way companies go about marketing their brand, products and services. The development of generative AI, large language…

From  chq_master_librarians

Advance your FinOps with deeper automation and resource optimization

Many organizations are facing challenges in adopting IT Automation while meeting increased user expectations. To address these challenges, we have developed operational excellence and financial…

From  661002M2AB 661002M2AB

Should You Use Open Source Large Language Models?

Large Language Models (LLMs) can be proprietary to a given company, or open source and free for anyone to access and modify. While proprietary LLMs are often larger, the benefits of transparency,…

From  chq_master_librarians

What is Retrieval-Augmented Generation (RAG)?

Large language models usually give great answers, but because they're limited to the training data used to create the model, over time they can become incomplete--or worse, generate answers that…

From  chq_master_librarians

Apache vs NGINX

If you're into web development, you have undoubtedly heard of Apache and Nginx. They're both open source web servers, but they have different strengths, and both are worth considering…

From  chq_master_librarians

Machine Learning vs Deep Learning

Get a unique perspective on what the difference is between Machine Learning and Deep Learning - explained and illustrated in a delicious analogy of ordering pizza by IBMer and Master Inventor,…

From  chq_master_librarians

Tuning Your AI Model to Reduce Hallucinations

You've probably heard a lot about AI hallucination, but is that a permanent flaw with gen AI or can it be diminished or eliminated through prompting techniques? In this video, IBM Distinguished…

From  chq_master_librarians

Will AI Be Critical to Your Job and Everyday Life?

When will AI become a regular part of your life and career - want to take a guess how long that will take? In this video, Master Inventor Martin Keen talks about how long it takes, on average, for…

From  chq_master_librarians

What is the Identity Fabric?

You may have heard the term, but what exactly IS the "identity fabric"? In this video, Bob Kalka explains what the identity fabric is and how it can help you manage users, their identities…

From  chq_master_librarians

Build a Chatbot with AI in 5 minutes

Want to know how the latest chatbots can be designed to transform user experiences and deliver more intelligent, human-like responses? In this video, Morgan Carroll shows how, using IBM watsonx…

From  chq_master_librarians