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Dark Factories and the Future of Work: How AI-Driven Automation is Reshaping Manufacturing

Unite.AI

A report from Oxford Economics in 2017 predicted that 12 million manufacturing jobs in China could be lost to robots by 2030. Roles in AI programming, robotics maintenance, and data analysis are expected to grow. While automation is eliminating some jobs, it is also creating new opportunities.

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Growth Warrior Capital Invests in AI Startups MenuData & Simulacra to Transform Data into Actionable Insights

Unite.AI

Promise Phelon, Founder and Managing Partner of GWC, said: The Food & Beverage Big Data market is on track to hit $6.7 billion by 2030 at a staggering 35.4% Both MenuData and Simulacra bring next-generation AI capabilities to the table, offering precision, efficiency, and accuracy that legacy data providers simply cannot match.

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How AI and ML Are Scaling Data Collection to Transform Medical Monitoring

Unite.AI

There are several factors researchers should keep in mind when developing these novel technologies to ensure they are collecting the highest quality data and building scalable, accurate, and equitable ML algorithms fit for real-world use cases.

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What is The Difference Between Data Analysis and Interpretation?

Pickl AI

Summary: Data Analysis and interpretation work together to extract insights from raw data. Analysis finds patterns, while interpretation explains their meaning in real life. Overcoming challenges like data quality and bias improves accuracy, helping businesses and researchers make data-driven choices with confidence.

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Multilingual AI on Google Cloud: The Global Reach of Meta’s Llama 3.1 Models

Unite.AI

billion by 2030 at a Compound Annual Growth Rate (CAGR) of 35.7%. The platform also integrates effectively with other Google Cloud services, such as BigQuery for data analysis and Google Kubernetes Engine for containerized deployments, providing a cohesive ecosystem for AI development. billion in 2024 to USD 1339.1

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Five machine learning types to know

IBM Journey to AI blog

Unsupervised machine learning Unsupervised learning algorithms—like Apriori, Gaussian Mixture Models (GMMs) and principal component analysis (PCA)—draw inferences from unlabeled datasets, facilitating exploratory data analysis and enabling pattern recognition and predictive modeling.

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AI in marketing: How to leverage this powerful new technology for your next campaign

IBM Journey to AI blog

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing?