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.

Lisa Schmeiser

September 25, 2019

1 Min Read
Can Machine Learning Turn Big Data into No Big Deal?
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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

 

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