2020 Enterprise Analytics Trends: Deep Learning Delivers a Competitive Advantage | MicroStrategy
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2020 Enterprise Analytics Trends: Deep Learning Delivers a Competitive Advantage

By 2022, Gartner predicts that 90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.

“Increasingly, leading and thriving organizations in every segment are wielding data and analytics as a competitive weapon, operational accelerant, and innovation catalyst,” notes analysts in Gartner Predicts 2019: Data and Analytics Strategy. “But many still struggle under the weight of traditional business models and analog business processes that discount the potential of data and analytics.

“Still others recognize their potential, but cannot make the cultural shift or commit to the information management and advanced analytics skills and technology investments necessary to realize that potential.”

Those that do commit to advanced analytics skills and technology investments, however, will see a significant competitive advantage in the next decade, says CDO and author Frank Bernhard. In 10 Enterprise Analytics Trends to Watch in 2020, the SHAPE—Digital Strategy by Data & Analytics author focuses specifically on deep learning as an upcoming enterprise investment and game changer.

“No longer just a buzzword, the pragmatic advent of deep learning to predict and understand human behavior is a tempest disruptor in how companies will perform with intelligence against their competitors.” —Frank J. Bernhard

“Data is arguably a strategic asset, and now the enterprise can begin to drive a wedge in how insights translate to business performance—without much more human capital being added."

“Those enterprise organizations seeking to differentiate themselves through active intelligence need to rethink how AI and machine learning may be leveraged to capture hidden awareness of customers, competitors, suppliers, and market behavior that impact performance. Blindness and opacity to human factors is not an option when dealing with changing demands, constraints, and preferences that drive outcomes,” warns Bernhard.

With the nexus of AI, ML, cloud, and the exponential growth of data sources (and the ability to connect them), the stars have aligned for enterprise organizations to make better and faster use of more data. Look to deep learning to accelerate that capability.

Looking for more trends insights? See what today’s top thought leaders say requires your organization’s attention. Download 10 Enterprise Analytics Trends to Watch in 2020 to read insights from Constellation Research’s Ray Wang and Doug Henschen, Forrester analysts Srividya Sridharan, Mike Gualtieri, and J.P. Gownder, Ventana Research’s Mark Smith and David Menninger, IDC’s Chandana Gopal, Marcus Borba, and more.

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