AI and machine learning are enabling businesses to pull out valuable insights that enable businesses to forecast industry trends and user behavior. That’s the reason enterprises are eager to hire AI developers to upgrade solutions. More or less, AI usage in business intelligence can bestow enterprises with billions of dollars worth of information.
Wondering how AI in business intelligence can be leveraged? Let’s understand the undeniable potential of AI in business intelligence.
• AI Boosts BI functionality
Business intelligence’s real potential can be gauged in breaking down a large volume of data into granular insights. It enables enterprises to comprehend smaller aspects of the big picture. AI boosts the capacity and functionality of BI applications too. However, the real issue can arise in real-time insight.
Actually, BI’s mainstream process is to process and visualize data. But! BI can not generate this data result and predict trends in real-time. AI with the combination of latest technologies like ML infuses the capacity of generating real-time insights and trends.
Boosting BI functionality improves the value to the organization.
• Mend The Gap
AI-enabled BI is a boon to businesses as it develops critical insight into data that businesses are not able to examine before. AI-powered BI applications process the fresh data and identify trends useful to organizations.
The usage of the latest technologies such as machine learning, natural language processing, and predictive analytics provide useful insights. For organizations, only visualized data isn’t enough to see the trends, they need tools that can bridge the gap, and AI can do that.
• Eradicate Talent Storage Problems
Business intelligence provides data findings in a visual format by processing data coming from a number of sources. However, data representation can be hard to read, even in a visual format. However, AI can define and scale information at the easiest scale and enable businesses to gain actionable insights.
Moreover, issues of talent can also debar the processes. A number of AI development companies are deploying the tech in BI to solve these problems. With AI, the right software processing can be used to eliminate some issues formed by a talent shortage; delegating tasks to data analysts can also be done easily.
• Simplifying Complex Processes
Even with the BI solution, surveying data is a complex process. A professional data analyst has to survey more than 100s of charts to gain actionable insights. Though, AI can simplify this process using deep learning, machine learning, and NLP.
Besides, closing the gap between human and machine communication using these technologies can also help in solving this issue. AI technology with machine learning enables machines to understand human language, which can help data analytics to find connections and insights easier.
Besides, AI-enabled BI enables businesses to handle and process a large set of data, both structured and unstructured.
One can check out some use cases where AI has transformed Business Intelligence
- SAP- AI For Transforming Databases Into Useful Intel
- DOMO — AI for Business Dashboard
- Apptus — AI in Sales Enablement
- Avanade — AI for Business Insights
Business intelligence applications can turn out a tremendous asset to enterprises enabling them to understand big data. Though the needs of organizations would evolve with time, an AI can then spill its magic.
Annoberry lets companies and application like these to refine their training data for AI needs so that the output is highly reliable and satisfying. To know more you can visit us at http://annoberry.com or follow us at https://www.linkedin.com/company/annoberry
