AI in Industries
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.
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.
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 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.
Autonomous Things: Why it Matters, Examples & Pitfalls in 2025
Though self-driving vehicles take the front seat when we talk about autonomous things, autonomous robots, and drones can also make a difference for businesses. These technologies can lead to partial or full automation of tasks involving humans today. Transportation, retail, security, and military are some of the industries with early examples of autonomous things.
Top 15 Predictive Maintenance Tools in 2025
Advances in AI and robotics are driving a greater reliance on industrial machines in sectors such as manufacturing, mining, and logistics. Predictive maintenance helps prevent downtime by identifying potential machine failures and guiding timely repairs.
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.