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Prepare for Machine Learning in the Enterprise

No enterprise will be immune to machine learning – so find out what it really can do for you and what you’ll need to do to make it work.

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:

  • How to Get Your Data Machine Learning-Ready
  • Operating System and Hardware Modernization
  • Implementation: The Cloud May Be Where the Enterprise Keeps Its Machine Learning
  • Is There Ever a Time When Machine Learning Doesn’t Work in the Enterprise?
  • Hardware and Software Inventory
  • Strategies for Deploying the Rollout
  • How Machine Learning Affects Your Industry