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Data Quality Dimensions Are Crucial for AI

Dataversity

As organizations digitize customer journeys, the implications of low-quality data are multiplied manyfold. Since the data from such processes is growing, data controls may not be strong enough to ensure the data is qualitative. That’s where Data Quality dimensions come into play. […].

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AI-Powered Project Management: Insights into Generative AI’s Growing Influence

Data Science Dojo

With a broad spectrum of applications, AI is fast becoming a staple in project workflows. Recent findings from a Capterra survey underscore this trend, revealing that 93% of project managers saw a positive return on investment from AI tools last year, with only a minimal 8% of companies not yet planning to adopt AI technologies.

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LangChain 101: Part 3b. Talking to Documents: Embeddings and Vectorstores

Towards AI

Author(s): Ivan Reznikov Originally published on Towards AI. As soon as the idea of integration of LLMs with our own data became a possibility, we started to look into tools to make that a reality. Transportation types This is a 1-dimensional representation of data. LangChain 101 Course (updated) LangChain 101 course sessions.

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Computer Vision: 2023 Recaps and 2024 Trends

Towards AI

Last Updated on December 30, 2023 by Editorial Team Author(s): Luhui Hu Originally published on Towards AI. AI Power for Foundation Models (source as marked) As we bid farewell to 2023, it’s evident that the domain of computer vision (CV) has undergone a year teeming with extraordinary innovation and technological leaps.

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Is AI green, how sustainable is it?

Dataconomy

As the prowess of AI accelerates innovation across various sectors, the question “is AI green?” This exploration sheds light on the ecological footprint of AI, scrutinizing the challenges it poses, including significant carbon emissions, the proliferation of electronic waste, and the potential threats to natural habitats.

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Principal Component Analysis(PCA)

Mlearning.ai

Increase in Data Dimensions Introduction: The Curse of Dimensionality and the Need for PCA Imagine you’re a data scientist working with a vast dataset of astronomical observations, aiming to uncover patterns and insights about distant galaxies. This is where dimensionality reduction techniques become crucial.

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AI is slowly becoming a part of our lives but…

Dataconomy

Artificial Intelligence (AI), with its promise of enabling machines to mimic advanced human functions, has ushered in breakthroughs across various sectors. From healthcare to transportation, finance to education, AI holds the potential to revolutionize how we live and work. AI systems also lack emotional intelligence.