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Posture Detection using PoseNet with Real-time Deep Learning project

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Deep learning is a subset of Machine Learning and Artificial Intelligence that imitates the way humans gain certain types of knowledge. deep-learning helps to solve many artificial intelligence applications that help improving […].

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Top 5 Tips For Conducting Successful BI Projects With Examples & Templates

datapine

BI projects aren’t just for the big fishes in the sea anymore; the technology has developed rapidly, the software has become more accessible while business intelligence and analytics projects implemented in various industries regularly, no matter the shape and size, small businesses or large enterprises. What Is A BI Project?

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External Data Supports More Accurate Planning

David Menninger's Analyst Perspectives

One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. Until recently, it was adequate for organizations to regard external data as a nice to have item, but that is no longer the case.

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10 Datasets by INDIAai for your Next Data Science Project

Analytics Vidhya

Per Statista, The Artificial Intelligence market in India is projected to grow by 28.63% (2024-2030), resulting in a market volume of US$28.36bn in 2030. It is visible that AI is booming, […] The post 10 Datasets by INDIAai for your Next Data Science Project appeared first on Analytics Vidhya.

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Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. Are you ready to deliver fair, unbiased, and trustworthy AI?

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Diving Into the Future of Deep Learning: Exploring the Novel Challenges Title

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Though it is believed that tech enthusiasts are passing through the golden age of Artificial Intelligence, engineers and scientists still need to explore miles while progressing on their journey to Deep Learning projects.

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Beyond “Prompt and Pray”

O'Reilly on Data

AI systems promise seamless conversations, intelligent agents, and effortless integration. A Better Way Forward: Structured Automation The alternative isnt to abandon AIs capabilities but to harness them more intelligently through structured automation. At first glance, its mesmerizinga paradise of potential. Are they still in transit?

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10 Keys to AI Success in 2021

In our 10 Keys to AI Success in 2021 eBook, we draw from the engaging conversations we’ve had with guests on our More Intelligent Tomorrow podcast series to show how organizations are overcoming hurdles and realizing the enormous rewards that AI can bring to any organization. Trusted AI and how vital it is to your AI projects.

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MLOps 101: The Foundation for Your AI Strategy

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects? However, for most organizations embarking on this transformational journey, the results remain to be seen.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. Brought to you by Data Robot. Aligning AI to your business objectives. Identifying good use cases. Building trust in AI.