The expanded and strategic role of data and analytics in digital transformation is increasing the complexity of data, the number of variables to analyze, and the types of analyses required for success. This is pushing the limits of current capabilities and approaches.

Gartner has identified the top 10 data and analytics technology trends that will have significant disruptive potential over the next three to five years. Data and analytics leaders must examine their business impacts and adjust their operating, business and strategy models accordingly.

Top 10 Technology Trends in Data and Analytics that will Change your Business

Augmented Analytics

Take a close look at how to leverage machine learning and AI techniques to transform how analytics content is developed, consumed and shared.

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Augmented Data Management

Leverage automated service-level management and machine learning to develop actionable strategy for your data.

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NLP & Conversational Analytics

Improve data literacy in your organization by letting Natural Language Processing and Conversational Analytics do the analytics for you.

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Graph Analytics

Deep dive into the set of analytic techniques that allows for the exploration of relationships between entities such as organizations, people and transactions. 

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Commercial AI ML

Be ahead of the trend by increasing the use of commercial data science and machine learning to narrow the current skills gap using commercial AI/ ML.

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Data Fabric

Break free from physical consolidation of data by adapting a harmonized data management and agile active metadata by implementing data fabric.

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Explainable AI

Explore techniques in the application of AI that results in the increased transparency of solutions which can be understood by human experts.

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Blockchain

Get full lineage of assets and transactions, and increased transparency for complex networks of participants to simplify data access and consistency.

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Continuous Intelligence

Sharpen your skills to improve the ability to process and derive actionable insights for operational decisions from high volumes of streaming data.

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Peristent Memory Servers

Optimize software and virtual environments for larger in-memory data and boost your performance with high availability of data.

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