Remove model-interpretability-the-conversation-continues
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Model Interpretability: The Conversation Continues

Domino Data Lab

This Domino Data Science Field Note covers a proposed definition of interpretability and distilled overview of the PDR framework. James Murdoch, Chandan Singh, Karl Kumber, and Reza Abbasi-Asi’s recent paper, “Definitions, methods, and applications in interpretable machine learning” Introduction. Yet, Bin Yu, W.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage.

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Is Artificial Intelligence relevant to insurance?

IBM Big Data Hub

Continued advancement in AI development has resulted today in a definition of AI which has several categories and characteristics. The early versions of AI were capable of predictive modelling (e.g., I love the game of chess and was shocked when IBM’s Deep Blue chess-playing machine defeated the world chess champion in 1997.

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How to streamline and enhance critical F&A functions with generative AI

IBM Big Data Hub

” Moreover, some Large Language Models (LLMs) can already research and summarize, translate and interpret, generate and create, comprehend and report, converse and engage based on the knowledge gained from massive datasets used by F&A. .” Imagine the future of Finance and Accounting (F&A).

Finance 54
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Optimizing the Value of AI Solutions for the Public Sector

Cloudera

I’ll highlight some key insights and takeaways from my conversations in the paragraphs that follow. In fact, most of the public servants I spoke with were predominantly cautious about the current limitations of generative AI, and underscored the need to ensure that models are used responsibly and ethically. The underlying reason?

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10 most in-demand generative AI skills

CIO Business Intelligence

The recent AI boom has sparked plenty of conversations around its potential to eliminate jobs, but a survey of 1,400 US business leaders by the Upwork Research Institute found that 49% of hiring managers plan to hire more independent and full-time employees in response to the demand for AI skills.

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Generative AI use cases for the enterprise

IBM Big Data Hub

This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Autoregressive models or large language models (LLMs) are used for text and language.