Machine Learning or ML is a branch of Artificial Intelligence (AI) that mainly consists of mathematical and statistical models that help machines to learn based on data and is currently being the development engine of many companies. For some years now, organizations have been interested in developing image recognition, shape recognition, understanding of natural language -that studies the interactions between computers and human language- among others, in order to improve their processes and they successfully achieve. With the aim of facilitating the path to digital transformation that companies travel today. In this way, many processes are automated without even needing human intervention and there are many advantages that this technology provides. If you want to know how it can help you in your professional routine, keep reading!

Within the next two years, artificial intelligence (AI) will touch every business process, every employee, and every customer in some way. Without a doubt, this new reality will make our world easier and faster through process automation. But more transformational is the opportunity to elevate our ability to make decisions, deliver outcomes, and complete tasks in a more human way. For growing companies, this is becoming the moment when they push past the boundaries of traditional decision-making capabilities to intrinsic intelligence that is trusted, real-time, accurate, and continuously learning. In fact, according to an IDC study, over half of best-run midsize businesses view AI, machine learning, and digital assistants as critical enablers and necessities for staying competitive, compared to approximately 13% of digital laggards. Source: "Becoming a Best-Run Midsize Company: How Growing Companies Benefit from Intelligent Capabilities," IDC InfoBrief, sponsored by SAP, 2019.

Every leader has a unique perspective when it comes to the secret to business success in today's highly digitalized marketplace. Some say it's a matter of visionary digital investments or a combination of perspiration and inspiration. Meanwhile, others claim a sense of purpose as a key driver. But according to the IDC infobrief "Becoming a Best-Run Midsize Company: How Growing Companies Benefit from Intelligent Capabilities," certain attitudes are associated with higher performance. Based on insight from 1,957 executives leading midsize companies (100–1,000 employees), IDC identified the fundamentals behind business success and progress toward becoming best-run, digitally engaged organizations.

SAP's Christian Boos had a light-bulb moment this year at SAPPHIRE NOW. The global business development expert for machine learning was due to hold a 20-minute meeting with a long-time SAP customer, but 20 minutes soon turned into 90. "They just kept on reeling off the use cases for machine learning at their company," Boos says. This and many other conversations at the event fed his conviction that, far from being "just another bandwagon," machine learning is a topic that will help decide many companies' future. While the consumer market is already brimming with highly advanced artificial intelligence (AI) and machine learning products, many enterprises are only just starting to embrace these technologies.

To gather insights on the state of artificial intelligence (AI) and all its variants -- machine learning (ML), deep learning (DL), natural language processing (NLP), predictive analytics, and multiple neural networks -- we spoke with 22 executives who are familiar with AI. We asked them, "How can companies benefit from AI?" Here's what they told us: How else do you see companies benefitting from AI? Here's who we talked to: