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AI in Industries

Discover the use of artificial intelligence across various industries, including fashion, government, manufacturing, transportation, and sustainability. This section covers practical applications such as predictive maintenance, self-driving technologies, autonomous systems, and the use of generative AI to support operational efficiency and sector-specific workflows.

Explore AI in Industries

AI in HR: Steps & Use cases with Real-Life Examples in 2025

AI in IndustriesAug 13

Artificial intelligent (AI) usage in human resources (HR) has emerged as a game-changer by enhancing efficiency and reducing the risk of overlooking qualified candidates, where the average initial résumé screening time is just 7.4 seconds.

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AI in IndustriesAug 12

AI HR Analytics: Use Cases, Benefits & Challenges in 2025

The integration of AI HR analytics into human resource management is revolutionizing how organizations optimize their workforce and make data-driven decisions. By leveraging artificial intelligence, machine learning, and predictive analytics, HR professionals can move beyond traditional practices to enhance employee experience, operational efficiency, and align HR strategies with overarching business goals.

AI in IndustriesAug 12

Compare Top 26 Legal AI Software by Pricing in 2025

In the last 2 decades, I worked with enterprises as a consultant and tech vendor to deploy advanced analytics & AI solutions. I looked into more than 50 legal tech companies using generative AI and categorized the leading products.

AI in IndustriesJun 12

Top 10 AI in Fashion Use Cases & Examples in 2025

Creative bottlenecks, inefficient supply chains, and rising consumer expectations are pushing fashion brands to seek smarter solutions. According to McKinsey, generative AI can offer a path forward by adding up to $275 billion to operating profits in the fashion, apparel, and luxury sectors until 2028.

AI in IndustriesAug 1

Top 10 Sustainability AI Applications & Examples in 2025

According to PwC, GenAI could improve operational efficiency, which might indirectly reduce carbon footprints in business processes. Companies can implement strategies to reduce energy consumption during the development, customization, and inferencing stages of AI models. By leveraging GenAI applications, companies can offset emissions in other areas of their operations.

AI in IndustriesAug 12

Top 5 Technologies Improving Insurance Fraud Detection

According to the FBI, insurance fraud (excluding health insurance) costs more than $40 billion annually in the U.S. alone.(Insurance Fraud. FBI. Accessed: February/11/2025.) Technological tools such as artificial intelligence (AI), the Internet of Things (IoT), machine learning, and blockchain can be used by insurers to more effectively detect and prevent insurance fraud.

AI in IndustriesJul 11

40 Statistics about Self-Driving Vehicles Market in 2025

We compiled 40 up-to-date autonomous vehicle statistics from the surveys and research of reputable sources. In this list, you will find self-driving stats that will help you understand the present and future of self-driving market. Market forecasts Read more: Autonomous things.

AI in IndustriesMay 26

AI in Government: Examples & Challenges in 2025

Governments worldwide are investing in AI to improve efficiency and service delivery. However, scaling AI initiatives presents challenges, from ethical concerns to bureaucratic resistance. Explore AI in government applications, best practices, and real-world examples.

AI in IndustriesAug 12

Top 10+ Legal AI Use Cases & real-life examples in 2025

The legal AI software market is expected to quadruple in the next five years, as AI technology offers significant potential to help lawyers focus on higher-value tasks. Despite challenges such as biased forecasts and tracking changing regulations, there are many manual tasks within legal departments that can be automated.

AI in IndustriesAug 14

Autonomous Things: Use Cases with Examples in 2025

Autonomous things (often shortened to AuT) are physical devices, such as vehicles, robots, and drones, that use onboard sensors, connectivity, and AI to perceive the physical world and autonomously complete tasks with little or no human direction Explore what autonomous things are and how they operate, their most common use cases with real-life examples, and

AI in IndustriesJul 24

IBM reshaping Watson for transforming its AI business ['25]

Thomas J. Watson Sr. joins Computing-Tabulating-Recording Company (CTR) in 1914 and over the next two decades transforms it into a growing leader in innovation and technology. He built a worldwide industry; it is called to International Business Machines Corporation (IBM) in 1924.