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Bring light to the black box

IBM Journey to AI blog

A lack of confidence to operationalize AI Many organizations struggle when adopting AI. According to Gartner , 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted.

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Cybersecurity AI Trends to Watch in 2024

Unite.AI

AI transforms cybersecurity by boosting defense and offense. However, challenges include the rise of AI-driven attacks and privacy issues. Responsible AI use is crucial. The future involves human-AI collaboration to tackle evolving trends and threats in 2024.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

. “Foundation models make deploying AI significantly more scalable, affordable and efficient.” It’s essential for an enterprise to work with responsible, transparent and explainable AI, which can be challenging to come by in these early days of the technology. ” Are foundation models trustworthy?

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A look into IBM’s AI ethics governance framework

IBM Journey to AI blog

In addition, the CPO AI Ethics Project Office supports all of these initiatives, serving as a liaison between governance roles, supporting implementation of technology ethics priorities, helping establish AI Ethics Board agendas and ensuring the board is kept up to date on industry trends and company strategy.

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How to become an AI+ enterprise

IBM Journey to AI blog

Where do you harness gen AI vs. predictive AI vs. AI orchestration? For instance, when automating password change requests, do you need a 175 billion parameter public foundation model, a fine-tuned smaller model, or AI orchestration to call APIs? When should you prompt-tune or fine-tune?

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Meet the Fellow: Umang Bhatt

NYU Center for Data Science

In addition to working on his advanced degree, Umang is a Research Associate on the Safe and Ethical AI Team at the Alan Turing Institute. He is an Advisor at the Responsible AI Institute and has served in mentoring roles as a Thesis Co-Supervisor and Teaching Assistant at the University of Cambridge. By Meryl Phair

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3 key reasons why your organization needs Responsible AI

IBM Journey to AI blog

Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 Achieving Responsible AI As building and scaling AI models for your organization becomes more business critical, achieving Responsible AI (RAI) should be considered a highly relevant topic. billion by 2025.