With the expedient growth of the term Augmented Analytics being used and discussed, the first question that comes to mind is simply “What IS Augmented Analytics?” and why is it so important? Gartner included Augmented Analytics in their annually published “hype cycle” graph, and announced it as the annual top strategic technology trends at the Gartner Symposium/ITxpo.
So what is it? Gartner describes Augmented Analytics as “an approach that automates insights using machine learning and natural-language generation” which marks the next wave of disruption in the data and analytics market. In this article, we will uncover the key findings of Augmented Analytics, and the reasons why every enterprise who plans to venture into this revolutionizing new wave of IT and business, should adopt Augmented Analytics.
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Topics:
augmented analytics,
machine learning,
kpi dashboard
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Topics:
artificial intelligence,
talent management,
customer experience,
analytics,
AI,
business intelligence,
business analytics,
business objectives,
augmented analytics,
machine learning,
data,
innovation,
board of directors,
talent
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Topics:
artificial intelligence,
talent management,
customer experience,
analytics,
AI,
business intelligence,
business analytics,
business objectives,
augmented analytics,
machine learning,
data,
innovation,
board of directors,
talent
Read More
Topics:
artificial intelligence,
talent management,
customer experience,
analytics,
AI,
business intelligence,
business analytics,
business objectives,
augmented analytics,
machine learning,
data,
innovation,
board of directors,
talent
Read More
Topics:
artificial intelligence,
talent management,
customer experience,
analytics,
AI,
business intelligence,
business analytics,
business objectives,
augmented analytics,
machine learning,
data,
innovation,
board of directors
Read More
Topics:
artificial intelligence,
talent management,
customer experience,
analytics,
AI,
business intelligence,
business analytics,
business objectives,
augmented analytics,
machine learning,
data,
innovation
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Topics:
productivity and employee engagement,
artificial intelligence,
talent management,
customer experience,
analytics,
AI,
business intelligence,
business analytics,
business objectives,
augmented analytics,
machine learning,
data,
innovation,
employee engagement
Has your organization explored the principles of augmented analytics? As data increasingly becomes available to users across organizations, now’s the time to become fluent.
Analytics, it seems, are everywhere. Many companies may find the flood of analytics as overwhelming as the flood of data that preceded it. But if your organization wants to make sense of all that data and make the most of opportunities in strategy, operations and people, it needs to understand how augmented analytics can enhance its business.
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Topics:
artificial intelligence,
business analytics,
augmented analytics,
machine learning,
augmented data
