The Role of AI in Modern Business Intelligence Platforms
Business intelligence (BI) platforms have become essential for enterprises with an exponential increase in data generation and usage. The next generation of BI platforms will expand on the volume of data analysis and the degree of control a business user has over the process. This Leadership Brief presents the several roles that artificial intelligence plays in BI, and what your organization can do to take full advantage of it.
1 Executive Summary
Business intelligence (BI) platforms have become essential for enterprises with an exponential increase in data generation and usage. Business intelligence platforms allow enterprises to identify, understand, and act upon trends in enterprise data and metadata, as well as performing the functional data management that is necessary for privacy compliance. The next generation of BI platforms will expand on the volume of data analysis and the degree of control a business user has over the process.
Artificial intelligence (AI) capabilities will likely provide this, as breakthroughs in computing power have allowed AI to expand into data management, making a natural pairing with business intelligence platforms. Modern BI platforms are the new breed of data management platforms that can handle higher volumes of data, perform tasks with more granular control, and combine data insights with enforcing data privacy and management policy.
AI capabilities in these next-generation BI platforms typically employ both supervised and unsupervised machine learning for clustering, classification, and anomaly detection, regression-based predictions for automated recommendations, interactive features, and natural language processing. These are applied to data management tasks such as determining column similarity, entity extraction, parsing regulation into data management policies, and generating recommendations for data management. They typically operate on cloud or hybrid deployment models.
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