Prepare for Machine Learning in the Enterprise

By 2021, seven in 10 enterprises will be using some form of artificial intelligence in the workplace. “Digital workplace leaders will proactively implement AI-based technologies such as virtual assistants or other NLP-based conversational agents and robots to support and augment employees’ tasks and productivity,” said Helen Poitevin, senior research director at Gartner.

Joining the arsenal of AI tools – in fact, already quietly incorporated into a wide variety of enterprise apps and services and acting as advance scouts for AI in the enterprise – is machine learning.

In a modern enterprise landscape, IT professionals aren’t responsible only for systems administration or support with apps and services.They’re now charged with finding ways to help their employers reach their business goals: expanding the company’s top-line growth, optimizing workplace processes while improving employee engagement, increasing customer engagement and retention, and protecting the company from tech-related risks. Machine learning offers tools to advance those goals.The real challenge for IT professionals now is to be able

to deliver a well-informed assessment of machine learning options for their business, then implement them.

This report will cover the following: