How Can AI Help to Enhance Conversational Business Intelligence?

Data, Analytics, Insights are the three key terms connected with the success of any organization. Well-curated and holistic customer data can take businesses to a whole new level.

It is the Business Intelligence Dashboard that keeps a record of KPIs, metrics, and various other data related to the organization, departments, or a specific process. While Business Intelligence Dashboards can provide a whole lot of information, it may require a considerable amount of time and effort to access the data.

Consider a scenario where a manager needs the sales of the Southern Territory for the past quarter. He also needs the list of jobs currently running on the organization’s server for new recruitments. All the information he needs will be available in the organizational Business Intelligence dashboard. But to access the specific data, he has to undergo several processes.

He has to log in for each task, set the parameters, range, format, etc, which is time-consuming and also tedious. This is where the AI-enhanced Conversational Business Intelligence comes in handy.

In today’s dynamic and competitive market, Conversational Business Intelligence powered by Artificial Intelligence has a unique role. It helps the organization to improve customer experience, involves minimal business decision-making, and also helps in offering more personalized services. It provides a whole new approach to your daily business tasks.

AI-enhanced Conversational Business Intelligence is an intelligent interface between the dashboards and the users. It not only helps in gathering the specific information at a rapid speed but makes use of a structured and user-friendly format to present the data.

It delivers quick and exact responses. Conversational Business Intelligence is beneficial both at the customer end and also for the employees within the organization. It helps to receive crucial data and insights about the customers by simplifying and speeding up the entire process.

The employees can access data without worrying about extra passwords, another application, or new software. Conversational Business Intelligence enhanced by Artificial Intelligent is easy to collaborate with any platform of your choice.

Let’s look at another instance where Artificial Intelligence enhanced conversational business intelligence comes to your help. Using Google Analytics, you get valuable insights related to your customers such as what page they are viewing or how frequently they have visited a page of your site, etc.

But what it does not answer is WHY that specific customer revisits a page, the pricing page for instance, and does not continue with the purchase or opt for a trial option as mentioned on the page.

There could be several reasons stopping the customer from making the purchase. He could be hesitating because the page does not provide enough details to convince him, or he could be confused about the purpose of the product, or he could be worried about the delivery of the product, etc. However, the reasons are unknown.

This is where the AI-enhanced conversational business intelligence comes to your rescue. The customer can now communicate their problems, to a system mimicking human intelligence, without actually having to talk to the manager or owner of the site in person and can clarify all his doubts regarding the specific product or page instantly.

Why a career in Artificial Intelligence?

Artificial Intelligence trainingArtificial Intelligence in Business Intelligence makes use of computer systems to mimic the various abilities of human intelligence such as reasoning, learning, understanding, communication, perception, judgment, and much more.

With the fast-growing businesses and a huge number of customers, the data generated today is much more than what one can absorb or interpret.

With this kind of data, it can get really difficult for human minds to make complex decisions. This is why Artificial Intelligence is said to be the future of all complex decision-making. Therefore, an Artificial Intelligence career can provide endless job opportunities.

Why Business Intelligence Has A Role in The World Of AI?

Have you ever wondered why the sight of black cobra doesn’t scare an infant or a two-year-old baby, but it does scare a child of age 10 or an adult? The answer lies in the adrenalin hormone, secreted by a human body.

We human beings are trained for certain stimuli but if we encounter something new, we may not be able to respond well to the situation. In technology, AI is meant to think like humans by giving it the required amount of training. This training can be given by exposing the AI to a certain amount of data.

To learn business intelligence in detail and understand the role of BI technology in AI, it is very important to understand the exactness of BI and AI and the difference between the two.

Business Intelligence Role in AI

Underlining difference between Business Intelligence and Artificial intelligence

The base function of AI is to think and act like humans whereas the base function of BI is data analysis. The role of AI lies in decision making, whereas the role of BI lies in preparing the reports. The key role of BI is to collect the information, which the organizations can use to make optimized decisions. AI on the other hand uses the organization’s own information along with the information of the industry as a whole, to help the organizations to make the best possible moves.

For example, a simple tool that can convert handwritten text into typed text first uses the general information provided to it. This tool works using AI. Initially, this AI is exposed to a certain amount of handwritten text and it converts it into the typed text. Once the output is there, it requires some manual corrections to train the AI. Next time with a similar input, the output comes out in a better way. For the purpose of decision making, BI provides firsthand information to the AI to work, and later AI is trained to perform in a better way.

To understand the role of BI in AI, let us look at some examples of AI solutions

DOMO is a business management software company. This company has created a cloud-based dashboard that receives data from different apps using approximately 400 software connectors. This data is used for business intelligence.

This way, companies using DOMO can extract the data from different apps such as Salesforce, Shopify, etc. to gain insight into the customer’s sales or product inventory. The extracted data can also be used to spot the trends in the performance of the product. Later, a new feature known as Mr. Robot was added to the dashboard of Domo. The purpose of Mr. Robot is to provide insights to make decisions. This way BI is used to fuel AI.

Complementary nature of BI and AI

 There are certain patterns in the data that humans and BI cannot detect easily, the much-detailed algorithms with a consistent focus on certain parameters can help in the detection of such patterns are helping the decision-makers in a much holistic way.

Considering that the AI is superior to BI in all ways will not be correct. If all the possible constraints are not introduced to the AI, then relying on AI could result in business loss. Similarly, BI can also be extremely useful for decision-makers if the problem is unique, because of the generic nature of AI, which means it is trained to solve general problems.

Despite all the plus points, there always remains a threat to privacy breaches and data security with AI. However, with BI two major issues are organization and its people and data with technology. By considering all the positives and negatives of two systems, it is quite clear that BI in AI helps the organizations to review the data of the past and helps with new features. This helps in saving a lot of time in which organizations spend on data analysis and decision making.