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Accelerating Industry 4.0 at warp speed: The role of GenAI at the factory edge

CIO

Operational insights on demand, derived from large data sets, provide tremendous and unique value via faster, smarter decision-making leveraging natural language processing (NLP). Inherent risks with GenAI can be greatly mitigated Traditional manufacturing techniques are good at mitigating risks. Bias and fairness.

Travel 892
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Mitigating NLP Bias

Dataversity

NLP, natural language processing, is a subfield of linguistics, computer science, and AI that is concerned with interactions between computers and human language. NLP allows computers to process large amounts of natural language data. The post Mitigating NLP Bias appeared first on DATAVERSITY.

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Fintech App Development Discover the Benefits of Using AI

Smart Data Collective

Many banks have already begun to utilize chatbots powered by natural language processing, also known as NLP. NLP chatbots can automate the workflow and collect valuable data through these interactions. With NLP, AI can also search through documents more effectively and present them to users in a streamlined form.

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2023 Predictions for AI, Machine Learning, and NLP

Dataversity

The post 2023 Predictions for AI, Machine Learning, and NLP appeared first on DATAVERSITY.

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Sentiment Analysis: Understanding Perception for Better Marketing

mention

Then it utilizes natural language processing (NLP) algorithms that recognize and interpret linguistic nuances, context, and emotional cues within the text and categorize this data as positive, negative, or neutral. Sentiment analysis algorithms can be rule-based, automatic, and hybrid.

Analysis 167
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AI and ESG: Pioneering a sustainable future through data-driven decisions

Fuld

Latest ESG Trends to Look Out For Climate Change Risk and the Road to Net Zero Environmental and climate-related risks, including extreme weather events, water scarcity, and the failure to adapt to or mitigate climate change are among the top risks the world faces.

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Generative AI in Consumer and Retail

Alpha Sense BI

Therefore, it is crucial to carefully monitor and review the output of generative AI systems to mitigate this risk. In other words, the lack of federal and legislative intervention to ensure these programs aren’t encoded, consciously or unconsciously, with structural biases, leaves room for risks.

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