How Can Artificial Intelligence Improve Business Intelligence?

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From deep learning-powered software to intelligent robots, autonomous vehicles as well as IoT software, AI is deepening its grasp on the world and making unforgettable comments on the globe. AI-enabled technology has a specific place within the Gartner Hype Cycle for Emerging Technologies, which indicates that AI is the only way to beat AI in the technological world.

 

But, AI business intelligence and analytics capabilities are an important business attraction, since it improves income streams and provides useful insight. In reality, the growing amount and variety of information inside companies is promoting the use of AI to help improve businesses.

 

Machine learning and AI can help businesses pull useful insights that allow businesses to anticipate the future of their industry and predict the behavior of users. This is the reason why businesses are keen to employ AI experts to improve their solutions. The truth is, AI usage in business intelligence can provide businesses millions of dollars of data.

Do you want to know what AI is used in the field of business intelligence that could be used to benefit business intelligence?

 

Let’s look at the unquestionable benefits for AI to improve business intelligence.

 

What can AI Empower Business Intelligence Applications?

Business intelligence is the process created to gather, process, and analyze large amounts of data. To accomplish this, businesses use several tools for business intelligence, such as Tableau, Datapine, Zoho Analytics and many others.

When it comes to this, certain issues could limit the value of the system to companies. For example, a massive volume of data may cause an amount of capacity that has to be eliminated.

 

Let’s look at how AI can address the issues.

 

AI boosts BI functionality:

 

Business intelligence’s true potential can be measured by dissecting a huge amount of data into more specific information. It helps companies understand smaller parts of the larger picture. AI increases the capability and performance of BI applications as well. However, the main problem can arise in the context of real-time insights.

In reality, the primary function of BI is to visualize and process data. But! BI is unable to produce this data result or anticipate trends in real time. AI combined with the latest technology like ML can be used to assist in producing real-time information and trends.

The enhancement of BI capabilities increases the effectiveness of the company.

 

Mend The Gap:

 

AI-powered BI can be a huge benefit to businesses since it gives insights into data that companies could not have access to prior to. AI-powered BI applications analyze the new data and can identify patterns that are beneficial for businesses.

Utilizing the most recent techniques like machine learning and natural language processing and predictive analytics can provide valuable information. For businesses, visual data won’t be enough to understand the patterns, they require tools that make the difference, and AI is able to do this.

 

Eradicate Talent Storage Problems:

 

Business intelligence presents data-related findings visually, by processing data from various sources. But, the data representation may be difficult to read even when it is in an image format. But, AI can define and increase information on the simplest scale to allow companies to get actionable insights.

Additionally, the issue of talent could also hinder the process. Many AI development firms are using the technology in BI to address these issues. With AI the correct software processing is able to solve some problems caused due to a shortage of talent and delegating work to data analysts could be easily done.

 

Simpler Processes for Complex Problems:

 

Even with an BI solution, analyzing data can be a complicated process. An experienced data analyst needs to look over 100 charts to gather useful information. However, AI can simplify this process by using machines learning, deep learning and NLP

Apart from that, closing the gap between machine and human communications using these technologies could assist in resolving this problem. AI technology that includes machine learning allows machines to recognize human language. This could aid data analytics in identifying connections and insight more quickly.

 

Additionally being AI-enabled, BI allows businesses to manage and process a vast amount of data that is both unstructured and structured.

 

From the above, you’d have a better understanding of the ways AI could be beneficial to business intelligence.

 

 Let’s look at some real-world use cases.

 

Examples Of AI In Business Intelligence

 

1. SAP- AI for transforming databases into useful Intel:

 

The main AI advantages of business intelligence are evident in HANA SAP’s cloud platform, which allows users the management of databases of data. The software is able to ingest and replicate information from various sources, including databases, apps and other.

The platform is accessible to users through on-premise servers as well as the cloud. HANA can include data from equipment, financial transactions, sensors as well as desktops. Imagine that your staff members use tablets or smartphones to keep track of purchases; they could use HANA to find patterns and anomalies.

 

2. DOMO AI in Business Dashboards:

 

Domo isn’t the biggest SAP machine learning program to be used in business. But, Domo is expanding its coverage at a rapid pace. As a software for business management company that has raised over $500 million in capital and developed an analytics dashboard that gathers data that can assist businesses in making informed decisions.

This cloud-based dashboard will increase the size of the firm effortlessly. Therefore, big and small businesses can benefit from this system in a matter of minutes. There are over 400 Native software connections that allow Domo to obtain data from third-party applications which can be utilized to provide table insights and contextual information.

Businesses using Domo can draw information from Salesforce square, Shopify, Facebook and a variety of other applications to get important insights into customers’ products, sales, and. For example, merchants are able to get information about their online store and control software.

This data is gathered in real-time, for example the performance of the product.

 

3. Apptus AI Sales Enablement:

 

Machine-learning can be utilized in a variety of ways to enhance the performance of the application. Apptus created by an innovative AI development company, enables companies to get suggestions regarding actions they can adopt to improve selling channels. Apptus is believed to be a special software that helps businesses understand the customer’s desires and purchasing patterns to increase sales for their business.

Apptus offers an eSales solution designed in such a manner that can help automate merchandising using the ability to predict consumer preferences. It combines machine learning with large data to identify what products are appealing to consumers, so that companies can modify searches and offer more relevant recommendations.

 

4. Avanade — AI for Business Insights:

 

Avanade is a joint program created by Accenture and Microsoft that is based upon Cortana Intelligence Suite and many other options for predictive analytics as well as uncovering insights based on data.

The platform can help companies gain a better understanding and perspective into their operations. It is possible to learn about customer behaviour through analysis.

 

Closing Up:

 

Business intelligence software is a huge advantage to companies by enabling them to analyze large amounts of information. While the needs of businesses will change over time An AI could then unleash its power.

Businesses will need to transform information in visual form and software that could accurately predict trends in real-time will be significant. The AI will be able to demonstrate its true potential and help businesses to find a breakthrough on the market.

For more information on how you can integrate AI into your business ecosystem Contact Business Intelligence Consultants with expertise in modern integration of technology with AI and machine learning capabilities.

 

Business intelligence software is a huge advantage to companies by enabling them to analyze large amounts of information. While the needs of businesses will change over time An AI could then unleash its power.

Businesses will need to transform information in visual form and software that could accurately predict trends in real-time will be significant. The AI will be able to demonstrate its true potential and help businesses to find a breakthrough on the market.

For more information on how you can integrate AI into your business ecosystem Contact US in modern integration of technology with AI and machine learning capabilities.