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Ways AI Enhances Business Intelligence
The true potential of business intelligence can be measured by breaking down large amounts of data into granular insights. It enables businesses to understand the finer points of the big picture. AI also improves the capacity and functionality

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Apac CIOOutlook | Tuesday, August 31, 2021
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The true potential of business intelligence can be measured by breaking down large amounts of data into granular insights. It enables businesses to understand the finer points of the big picture. AI also improves the capacity and functionality of BI applications.
Fremont, CA: AI is intensifying its claws everywhere, from deep learning-enabled software to autonomous cars, smart robots to IoT applications, as well as leaving indelible marks on the world. AI-enabled technologies have specific ranks in the Gartner Hype Cycle For Emerging Technologies, indicating that AI is unbeatable in the world of technology.
AI business intelligence and analytics capabilities, on the other hand, are a major draw for businesses, as the concept improves revenue streams and provides valuable insights. In fact, the increasing volume and complexity of data within organizations is encouraging the use of AI to improve enterprises.
How Can AI Improve Business Intelligence Applications?
AI Drives BI functionality
The true potential of business intelligence can be measured by breaking down large amounts of data into granular insights. It enables businesses to understand the finer points of the big picture. AI also improves the capacity and functionality of BI applications. The real issue, however, can arise in real-time insight.
Actually, the primary function of BI is to process and visualize data. However, BI cannot produce this data result and predict trends in real-time. AI, when combined with cutting-edge technologies such as ML, has the ability to generate real-time insights and trends.
Complicated Processes Are Simplified
Even with a BI solution, surveying data is a difficult task. To gain actionable insights, a professional data analyst must examine hundreds of charts. However, AI can help to simplify this process by utilizing deep learning, machine learning, and natural language processing (NLP).
Furthermore, using these technologies to bridge the gap between human and machine communication can aid in the resolution of this problem. Machine learning enabled by AI technology allows machines to understand human language, making it easier for data analytics to find connections and insights.
Furthermore, AI-enabled BI enables businesses to handle and process large amounts of structured and unstructured data.
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