Around the world, companies are doing amazing things with analytics and data-driven decision-making. The user’s experience has never been more targeted and personalized than it is today. From product recommendations and individualized playlists to AI-powered personal trainers, the strategic use of analytics provides customers with exceptional, unique and tailored experiences. But even with all of this exciting progress, we have only scratched the surface of what’s possible.

Artificial intelligence (AI) is changing organizations as we know them. However, many people fail to realize the impact that this technology is having in different aspects of our lives in and outside offices. From the smartphones we use to the e-commerce systems and websites we regularly visit to purchase different products, almost all our activities are aided by AI. AI-powered applications and services are now helping us accomplish ordinary tasks like emailing, ride-sharing, etc. With the advances in this technology, we will soon use it to drive operations on a daily basis. Here are some real-life applications of artificial intelligence in real-life.

Artificial intelligence (AI) is no longer just a buzzword spoken about only by professionals. It has become a reality that is powering different devices, such as mobile phones and bigger ones like driverless cars traversing the country. If you have ever visited shopping websites, you have interacted with AI without your knowledge. While these are just a few areas that AI has penetrated, potential AI applications are countless. In management, AI presents opportunities that excite forward-thinking managers. Such opportunities allow them to advance their businesses and careers faster. Artificial Intelligence will make managers great in their work and deliver more.

Artificial intelligence (AI) and machine learning (ML) are the two key technologies changing the retail industry. They are significantly impacting the industry, particularly e-commerce companies that rely mostly on online sales where technology is commonly used. Machine learning helps retailers optimize prices, collect customer data and enhance efficiency in logistics processes. The ability of this technology to streamline the sector reduces costs and builds stronger customer relationships. Owing to these advantages, big companies like eBay, Amazon and Alibaba have significantly invested in them across their sales cycles, starting from storage to post-sale customer service. Here are some ways in which retailers use machine learning in their businesses.