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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. A recent article on Analytics Insight explores the critical aspect of data engineering for IoT applications.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud. To achieve organization-wide data literacy, a new information management platform must emerge.

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A Comprehensive Guide on Deep Learning Engineers

Pickl AI

Job Roles and Responsibilities Data Engineering: Defining data requirements, collecting, cleaning, and preprocessing data for training Deep Learning models. Data Quality and Quantity Deep Learning models require large amounts of high-quality, labelled training data to learn effectively.

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Smart Factories: Artificial Intelligence and Automation for Reduced OPEX in Manufacturing

DataRobot Blog

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). Python is unarguably the most broadly used programming language throughout the data science community. The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016.

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What Are the Best Data Modeling Methodologies & Processes for My Data Lake?

phData

Example of Information Kept for a Simple Data Catalog Implications of Choosing the Wrong Methodology Choosing the wrong data lake methodology can have profound and lasting consequences for an organization. Inaccurate or inconsistent data can undermine decision-making and erode trust in analytics.

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Navigating the 2024 Data Analyst career growth landscape

Pickl AI

Customer Insights Specialist Deciphering consumer behaviour through data, providing invaluable insights for marketing strategies and product development. IoT Data Analyst Analysing data generated by Internet of Things (IoT) devices, extracting meaningful patterns and trends for improved efficiency and decision-making.