Artificial intelligence (AI) and machine learning (ML) are two key technologies that have taken over almost every industry today. From self-driving cars, consumer products to industrial systems, smartphones and other home appliances, these technologies are developing faster than ever imagined. Despite the rapid developments, AI is still in the nascent stages and still faces major challenges. In such early stages, failures and mistakes are to be expected. While these mistakes or failures are understandable, some can be fatal. Here are some areas that AI still faces problems.

Technology is taking over every sector of the economy. Machine learning is one of the technologies whose adoption is fast gaining traction in all sectors of the economy, from manufacturing to human resources. Education is one of the areas that machine learning is changing. Here are some essential machine learning applications in education.

We live in a world where customers have become increasingly aware of what they want. As such, pressure is mounting on businesses to deliver quality and develop products and services customized to meet the needs of the enlightened customer. Sales and marketing have become complex, and conversion rates are often determined by how you understand your customer. To address these challenges, companies have started adopting artificial intelligence to give them the push they need to thrive. AI in sales allows businesses to use modern technologies to help machines perform cognitive duties like humans or even more efficiently. As a salesperson, various smart technologies in AI can help you improve your performance considerably. These technologies use AI to predict leads and customers that can buy from you.