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Augmented analytics and artificial intelligence are among the top trends in the field that will significantly change businesses in the coming years, according to Gartner.
Augmented analytics and artificial intelligence (AI) are among the top data and analytics technology trends that have the potential to significantly change business operations in the next three to five years, according to a presentation at the Gartner Data and Analytics Summit in Sydney this week.
Data and analytics leaders must examine the potential business impact of these technology trends, and adjust business models accordingly—or risk losing competitive advantage to companies that do, Rita Sallam, research vice president at Gartner, said at the event and in a press release.
“The story of data and analytics keeps evolving, from supporting internal decision making to continuous intelligence, information products and appointing chief data officers,” Sallam said in the release. “It’s critical to gain a deeper understanding of the technology trends fueling that evolving story and prioritize them based on business value.”
With digital transformation efforts underway at most organizations, businesses are collecting more data than ever before, creating challenges but also major opportunities, Donald Feinberg, vice president and distinguished analyst at Gartner, said in the release. Large amounts of data, combined with powerful processing capabilities enabled by the cloud, make it possible to train and execute algorithms at the massive scale needed to realize the full potential of AI, he added.
“The size, complexity, distributed nature of data, speed of action and the continuous intelligence required by digital business means that rigid and centralized architectures and tools break down,” Feinberg said in the release. “The continued survival of any business will depend upon an agile, data-centric architecture that responds to the constant rate of change.”
Here are 10 data and analytics trends that data leaders and senior business leaders must explore in the coming years, according to Gartner:

1. Augmented analytics
Augmented analytics uses machine learning and AI techniques to change how analytics content is developed, consumed, and shared, according to the release.

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