Remove AI Remove Internet of Things Remove ML
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Data Engineering for IoT Applications: Unleashing the Power of the Internet of Things

Data Science Connect

As the Internet of Things (IoT) continues to revolutionize industries and shape the future, data scientists play a crucial role in unlocking its full potential. This allows data scientists to access comprehensive datasets for in-depth analysis and AI-driven insights.

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Exploring the dynamic fusion of AI and the IoT

Dataconomy

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. The Internet of Things refers to the network of interconnected physical devices, vehicles, appliances, and other objects embedded with sensors, software, and network connectivity.

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AI Workforce: using AI and Drones to simplify infrastructure inspections

AWS Machine Learning Blog

Thats why we at Amazon Web Services (AWS) are working on AI Workforcea system that uses drones and AI to make these inspections safer, faster, and more accurate. This post is the first in a three-part series exploring AI Workforce, the AWS AI-powered drone inspection system. What does AI Workforce look like in action?

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Predictive analytics vs. AI: Why the difference matters in 2023?

Data Science Dojo

Artificial Intelligence (AI) and Predictive Analytics are revolutionizing the way engineers approach their work. This article explores the fascinating applications of AI and Predictive Analytics in the field of engineering. Read more –> Data Science vs AI – What is 2023 demand for?

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Why over one-third of AI and Analytics Projects in the Cloud fail?

Dataconomy

What are the obstacles in data cleaning for analytics and the time constraints companies face when preparing data for analytics, AI and Machine Learning (ML) initiatives? The post Why over one-third of AI and Analytics Projects in the Cloud fail? Here is a look at some insights from a recent report.

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Build an automated generative AI solution evaluation pipeline with Amazon Nova

Flipboard

Evaluation plays a central role in the generative AI application lifecycle, much like in traditional machine learning. Evaluation methods Prior to implementing evaluation processes for generative AI solutions, its crucial to establish clear metrics and criteria for assessment and gather an evaluation dataset.

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Tales & Tips from the Trenches: Demystifying Edge Computing

The Data Administration Newsletter

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security. (..)