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How to responsibly scale business-ready generative AI

IBM Journey to AI blog

According to Precedence Research , the global generative AI market size valued at USD 10.79 in 2022 and it is expected to be hit around USD 118.06 Generative AI and risky business There are some fundamental issues when using off-the-shelf, pre-built generative models. While OpenAI has taken the lead, the competition is growing.

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Meet the Fellow: Umang Bhatt

NYU Center for Data Science

This entree is a part of our Meet the Fellow blog series, which introduces and highlights Faculty Fellows who have recently joined CDS CDS Assistant Professor/Faculty Fellow, Umang Bhatt Meet CDS Assistant Professor/Faculty Fellow Umang Bhatt , who will join CDS this fall. In 2022, he was awarded a J.P. By Meryl Phair

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The importance of diversity in AI isn’t opinion, it’s math

IBM Journey to AI blog

Chamber of Commerce Foundation and IBM explore generative AI’s applications for skills-based hiring How the Titanic helped us think about Explainable AI A Framework to Render AI Principles Actionable Automated AI model governance tools are required to glean important insights about how your AI model is performing.

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MLOps and the evolution of data science

IBM Journey to AI blog

Today, 35% of companies report using AI in their business, which includes ML, and an additional 42% reported they are exploring AI, according to the IBM Global AI Adoption Index 2022. Looking to scale the impact of AI across your business?

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Are Model Explanations Useful in Practice? Rethinking How to Support Human-ML Interactions.

ML @ CMU

This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions. However, while numerous explainable AI (XAI) methods have been developed, XAI has yet to deliver on this promise. Communications of the ACM, 2022. NeurIPS, 2022. NeurIPS, 2022. ICLR, 2022.

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Explainability in AI and Machine Learning Systems: An Overview

Heartbeat

Distinction Between Interpretability and Explainability Interpretability and explainability are interchangeable concepts in machine learning and artificial intelligence because they share a similar goal of explaining AI predictions. Explainability in Machine Learning || Seldon Blazek, P. Blog Mahmood, A.

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What Leaders Want: Shifting to AI-Driven Healthcare

DataRobot Blog

In our previous healthcare blog , Sally Embrey explained how the integration of health and care services is gathering pace globally and how the creation of Integrated Care Systems (ICSs) by England’s National Health Service (NHS) is the latest example of services being organized around a local population. Learn More.