8 Ways Machine Learning Is Improving Companies’ Work Processes

Dan Wellers , Timo Elliott and Dr. Markus Noga

Today’s leading organizations are using machine learning-based tools to automate decision processes, and they’re starting to experiment with more-advanced uses of artificial intelligence (AI) for digital transformation. Corporate investment in artificial intelligence is predicted to triple in 2017, becoming a $100 billion market by 2025. Last year alone saw $5 billion in machine learning venture investment. In a recent survey, 30% of respondents predicted that AI will be the biggest disruptor to their industry in the next five years. This will no doubt have profound effects on the workplace.

Machine learning enables a company to reimagine end-to-end business processes with digital intelligence – and the potential is enormous. That’s why software vendors are investing heavily in adding AI to their existing applications and in creating net-new solutions.

But, at the same time, there are barriers to overcome. The most important is the availability of large quantities of high-quality data that can be used to train algorithms. In many organizations, the data isn’t in one place or in a usable format, or it contains biases that will lead to bad decisions.

Prepare for your business’s future by taking a look at some concrete examples of how AI and machine learning are creating value in companies today and which considerations should be addressed to fully realize them.

Read the full article in Harvard Business Review.


About Dan Wellers

Dan Wellers is the Global Lead of Digital Futures at SAP.

Timo Elliott

About Timo Elliott

Timo Elliott is an Innovation Evangelist for SAP and a passionate advocate of innovation, digital business, analytics, and artificial intelligence.

Dr. Markus Noga

About Dr. Markus Noga

Dr. Markus Noga is vice president of Machine Learning at SAP. Machine learning (ML) applies deep learning, machine learning, and advanced data science to solve business challenges. The ML team aspires to building SAP’s next growth business in intelligent solutions, and works closely with existing product units and platform teams to deliver business value to their customers. Part of the SAP Innovation Center Network (ICN), the Machine Learning team operates as a lean startup within SAP with sites in Germany, Israel, Singapore, and Palo Alto.