AI Tools and Information

AI for Business Intelligence: Making Sense of Big Data

AI in Business IntelligenceAI in the business sphere applies in a wide variety of ways. In actuality, most of us interact with AI frequently in one way or another. Businesses may now extract helpful information from AI and machine learning to forecast market trends and consumer behavior. In general, using AI in business intelligence can provide businesses with data of enormous value.

Why does business value Artificial Intelligence and what does it entail?

Artificial intelligence, sometimes known as AI, refers to teaching computer systems human intelligence-like abilities such as learning, problem-solving, and decision-making. Machine learning (ML) technology powered by AI has primarily been responsible for the application of AI in business. ML can carry out particular activities like:

  • Read and understand written information, such as ideas or user feedback.
  • Identify and categorize pictures and photos.
  • Identify items and face traits to enable facial recognition and product recommendations.

Artificial intelligence has several uses in business, including the following:

  • Virtual helpers, chatbots, and business intelligence bots
  • specialized online marketing
  • predictive forecasting
  • Recognition of voice
  • pattern identification

What role does AI play in corporate business? These are some ways that firms might profit from AI:

  • Automate customer service interactions that formerly required human employees, such as online chats, email marketing, and social media messaging.
  • Provide online customers with a customized experience based on data insights driven by AI and gleaned from consumer behavior and online buying trends.
  • Achieve operational efficiency through various strategies, such as AI-powered automation for inventory management and robotics for automated hotel check-ins and factory floors.
  • Create business forecasts or sales predictions based on consumer information and purchasing behavior that accurately estimate sales volumes, inventory control, and product demand.
  • Offer real-time assistance to clients, in which businesses can utilize AI-powered mobile apps to interact in real-time with large numbers of customers or to offer specialized services to each customer.

Business Intelligence and Artificial Intelligence

Systems that automatically gather, process, and analyze massive volumes of data refer to business intelligence (BI). Businesses may use the enormous data they collect to enhance corporate operations and generate more insightful decisions.

Despite its importance, BI has intrinsic weaknesses that limit the value it can offer businesses. Combining AI and BI yields benefits due to the enhancement of each other.

Artificial intelligence (AI), which stands for teaching computer systems human intelligence qualities, including learning, problem-solving, and decision-making, is used to characterize this process.

One of the most significant ways AI technology transforms modern organizations is through its improved process automation capabilities. As companies focus on growing their businesses, reducing overhead costs, and enhancing customer experiences, automation in all its forms is a welcomed business component.

When AI and BI merge, what happens?

Consider the market for consumer products. The company wants to know how its data performs across different industries because they are still determining how well its trade promotions are going.

Artificial intelligence in business is the only solution to this issue. Combining unstructured and inconsistent data with big data and AI technology is more straightforward when conducting text analysis.

Thanks to AI algorithms, many data sources are now integral to a trustworthy and reliable business. Additionally, AI aids users in finding the data and insights they need.

When the user engages with and applies these insights, BI within AI may be more consistent. In the event of a new promotion, the design team can receive advice from AI when combined with BI tools regarding what to keep and what to cut. The sales representative’s smartphone will include all the information they require.

How Can AI Empower Business Intelligence Applications?

How Can AI Empower Business Intelligence Applications

Extensive data collection, processing, and analysis processes are the foundation of business intelligence. Enterprises use a range of business intelligence products for this, including Tableau, Datapine, Zoho Analytics, and others. Several problems in this process could reduce the system’s value to firms. Let’s see how AI can address these flaws and aid in empowering businesses.

AI Boosts BI functionality

The value of business intelligence can be evaluated by converting a large amount of data into detailed insights. AI boosts the capability and functionality of BI applications. Yet, real-time knowledge may reveal the actual problem. Indeed, processing and visualizing data is the mainstay of BI. The ability to produce real-time insights and trends blends into AI by combining cutting-edge technologies like ML. Increasing BI functionality raises the value of the company.

Mend The Gap

Businesses benefit from AI-enabled BI because it provides crucial insight into data that organizations previously could not study. New data is processed by AI-powered BI systems, which also spot trends that are helpful to businesses. New technologies like machine learning, natural language processing, and predictive analytics give insightful data. Organizations need technologies to bridge the gap between data visualization and trend analysis; AI can do this.

Eradicate Talent Storage Problems

Business intelligence processes data from several sources to produce data insights visually. Even in a visual manner, data representation might be challenging to understand. Conversely, AI allows organizations to get valuable insights and define and scale information at the most straightforward scale. Moreover, problems with talent can hinder the processes. To address these issues, several AI development businesses are implementing the technology in BI. Using AI, the appropriate software processing can be utilized to solve some problems brought on by a skill scarcity; duties can also be readily assignable to data analysts.

Simplifying Complex Processes

The process of surveying data is complex, even with the BI solution. A professional data analyst must examine hundreds of charts to find valuable insights. Nevertheless, AI can simplify this process by utilizing deep learning, machine learning, and NLP.

Time Management

Routine tasks are automatable. Employers won’t have to worry about their staff members not finishing their work anymore. Programmable machines will do duties following the standards and guidelines that have been established.

3 Major Applications of Artificial Intelligence in Business

3 Major Applications of Artificial Intelligence in Business

Below are the three main ways artificial intelligence, or AI, is used in business today. AI is used in various parts of modern corporate enterprises, too.

1. Work Automation

AI technologies are being used by manufacturing companies to make better use of their resources. As an illustration, General Electric is lowering machine downtime using data gathered from intelligent sensors with AI installed on its manufacturing equipment.

Companies are cutting expenses, boosting productivity, and adding specialized employment by fusing AI and Internet of Things (IoT) technology.

2. Sales and Marketing

This function is changing across industries due to artificial intelligence’s substantial contribution to marketing and sales. With data obtained thanks to AI technology, marketing staff may automate most of their mundane work to concentrate on essential sales responsibilities like boosting sales and customer happiness.

3. Customer Service

Industry estimates indicate that mobile devices account for 30% of all online retail purchases. Among the top 5 categories of mobile apps, online users’ access, messaging, and social media use are rising among smartphone users. Businesses increasingly invest significantly in chatbots that use AI to communicate with and serve their customers.

Examples Of AI In Business Intelligence

1. SAP – AI for Creating Useful Intel from Databases

HANA, SAP’s cloud platform for managing data-collection databases, showcases the primary advantages of AI in business intelligence. The solution duplicates and ingests data science from numerous sources, including apps, databases, etc. Users can use both on-site servers and the cloud to access the platform. HANA can incorporate data from equipment, computers, sensors, and financial activities. If the personnel at your business records purchases on a smartphone or tablet, they can utilize HANA to spot trends and anomalies.

2. DOMO – AI for Business Dashboards

The business’s SAP machine learning project, Domo, is small. But Domo is growing its reach more quickly. With more than $500 million in funding, this provider offers a management software and a dashboard for data collection to facilitate informed business decisions. The size of the company can be readily scaled using this cloud-based dashboard. So, it is simple for both small and large companies to use the system. There are more than 400 native program connectors that let Domo gather information from an external application so that it can present analysis and information. Businesses utilizing Domo can access data from Shopify, Facebook, Salesforce Square, and various other services to learn crucial details about their clients, merchandise, and sales.

3. Apptus – AI in Sales Enablement

Multiple techniques exist for utilizing machine learning to improve the application. Businesses can get advice on activities to boost their sales channels using the Apptus platform, an AI development company established and focused on innovation. Specializing in customer behavior and purchasing patterns, Apptus reportedly offers software to businesses for increased revenue. Apptus’ eSales system can automate merchandising with a consumer’s predictive understanding in mind. The software uses big data and machine learning to identify the products that will appeal to consumers, allowing businesses to change search algorithms and offer more valuable recommendations.

4. Avanade – AI for Business Insights

Avanade is a joint initiative of Accenture and Microsoft for predictive analytics and discovering data-based insights. It is built on the Cortana Intelligence Suite and many other applications. The platform aids businesses in gaining a broader perspective and deeper understanding of the industry. Analytics can teach you about consumer behavior.


How is artificial intelligence related to business intelligence?

Ordinary statistics, big data analytics, and visualizations are all included in the category of applications known as “business intelligence,” which can gather information about the external environment and the competition to help businesses run more efficiently. For instance, a company might be curious about its reputation with the general population. To find other words close to their brand name, companies may gather data from tweets and search a large sample of them. This might be a tally of positive or negative word counts; it wouldn’t necessarily entail “Artificial Intelligence.”

What’s the role of AI in business intelligence (BI)?

Applications for business intelligence gain from artificial intelligence. With AI, business intelligence is better equipped to sift through enormous amounts of massive data and produce detailed insights. AI enables organizations to more clearly understand the significance of minor details within a larger context.

Businesses can acquire essential insights from unused data thanks to AI-enabled Business intelligence (BI). Applications for business intelligence that use AI to analyze new data may identify any critical trends for the firm.

Additionally, AI enables BI to benefit from cutting-edge tools like machine learning, predictive analytics, and natural language processing to expand the scope of the information provided.

How can artificial Intelligence help business organizations in their business processes?

Meetings are improving, sales and marketing are looking more robust, and customer service is steadily improving thanks to artificial intelligence tools. Also, businesses are automating content creation, improving manufacturing, and enhancing product development processes using AI. AI will have an influence on companies of all sizes and in all sectors.

Artificial Intelligence in Sales

Artificial intelligence is one of the most crucial technology to keep up with in the sales industry. To increase conversions and close more deals, AI has proven to be very successful.

Among the most widely used AI sales tools are:

  1. Platforms for sales intelligence: these provide sales representatives with data on their clients and prospects using data mining, natural language processing, and predictive analytics.
  2. CRM (customer relationship management) systems: these aid sales representatives in keeping track of their interactions and customer data.
  3. Lead generation and scoring tools: these AI-powered solutions assist sales representatives in identifying and prioritizing the best prospects to focus on.

How will BI change in the next 10-30 years?

There won’t be a stand-alone central BI team. Analytics will gradually transition from larger groups within business applications to major BI teams. At some point, it will become a fundamental ability for almost any position within a company.