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Ways that Artificial Intelligence benefits Business Operations

In businesses, the use of artificial intelligence is becoming more prevalent than ever. 31% of firms actively use artificial intelligence in their operations and 43% are looking into its potential applications, as reported within the ‘2021 Global AI Adoption Index’ by International Business Machines

For the ordinary user, the word ‘artificial intelligence’ still brings to mind some sci-fi movies. However, AI is most recurrently deployed in the commercial realm, perhaps because of the stigma associated with dystopian films. To help AI run effective and productive operations, global business leaders such as SalesForce, Netflix, Google, IBM, and many many more are investing in the technology at large scales. Not just that, even smaller corporations are beginning to realize the immersive value of artificial intelligence and are integrating AI technology into their daily operations. 

AI Technology can be used in a diverse range of scenarios across a variety of industries as technology, sales, HR, healthcare, manufacturing, marketing and travel, and so forth. Among the often suggested use cases for AI includes a long list of things that made our lives so much more easier like IoT, medical diagnostics, contactless payments, online assistants, and autonomous vehicles! With AI, the possibilities for business are seemingly limitless indeed.

Do businesses really need AI?

According to statistics from the World Economic Forum, over 75 million human jobs will have been displaced by AI by the year 2022, while at the same time 133 million new ones were projected to be created, dispelling the myth that the adoption of AI will result in increasing joblessness. AI is therefore no longer considered a means for wreaking havoc, is it?

Business operations in the 21st century are characterized by a high degree of complexity and involve difficult and ineffective tasks that cannot be completed by humans. The data era now rules business in the modern world. From data, businesses can learn important lessons about tactics that can dramatically accelerate growth.

  • Enhanced Customer Experience

Every company needs to explain its unique set of services to the general public in order to increase its clientele and boost revenues. The proprietors are unable to answer each person’s questions and provide personalized explanations.

A contentious application of AI in business is the substitution of humans in the customer support arena. With the development of chatbots, customers may communicate with businesses through computer-enabled robots that are available 24/7, quick, and ready to assist with any issues, place orders, and acquire information, and do nearly anything else they would need to accomplish. By eliminating the need for human contact in customer interactions, AI in business will cut costs while vastly enhancing adaptability and conversational experience for customers. 

  • Business Intelligence

With the increasing amount of available business data, finding insights from it can be quite tricky. Deriving valuable insights from data has driven the routine adoption of AI in business intelligence. These insights help companies improve the effectiveness of marketing, understand customers better, perform segmentation to create personalized experiences, and develop business strategies to aid corporate decision-making. 

  • Fraud Detection

AI is being employed in the burgeoning field of fraud detection in addition to being used by businesses to enhance the customer experience. There has been a tonne of vulnerabilities discovered throughout time. This number has grown dramatically, especially since the internet’s invention. According to the most recent statistics on cyber security, a system that is left unprotected might be the subject of over 2000 attacks each day, one occurring every 39 seconds!

Artificial intelligence is the only solution to this problem. It shields computer systems from fraud and devastating losses that come with being a victim of cyber fraud. By employing AI to foresee any errors that come through the internet, AI saves the systems from the risks of manipulation and makes it possible for the effective and efficient functioning of businesses. 

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  • Social Media Perspectives

Social media is one of the best mediums for businesses to sell their goods and services. Businesses can advertise their services because they have access to a wide range of users. If a company utilized its social media platform well, it can swiftly draw in a sizable number of customers.

Let’s be honest here, due to the enormous user population, no company can manually gather client feedback. AI in social media helps companies learn more about who their audience is and how to lure them into their products thereby helping businesses mark their place in the market. So it’s safe to say that AI benefits businesses with their social media game of planning and development!

  • Targeted Marketing

Any business’s success and revenue would most definitely depend on how it manages and responds to customer needs. In this era of growing digital engagements, customers have very little time for the numerous businesses that are trying to advertise their products and services. Businesses got to be that fish in the sea with its very own imposing presence that is almost difficult for other fishes to personify. 

This explains why it’s more important than ever to promote only the things that appeal to the eye of the customers and strike interest right at the very moment. Artificial intelligence in such an instance allows companies to understand and make note of their target audience a lot better and enables them to take necessary actions toward capturing the customer’s attention.

  • Recommend Products and Predictive Analytics

Businesses must be able to suggest products that will hold customers’ interest and fulfill their needs if they want to improve the success of marketing campaigns and improve customers with a company’s product. Now, businesses like Spotify, Netflix, Amazon, and others employ AI to comprehend client habits and behaviors to forecast which product to propose. In addition to using AI for predictive analytics, fraud detection, and client creditworthiness analysis before granting loan requests, banks and Fintech firms also utilize it to detect fraud.

  • Strategic Decision Making

According to FinancesOnline, there already are more than 4.66 billion active internet users worldwide, and the volume of data generated every day is truly beyond our wildest dreams. One pair of hands, much alone two pairs, would struggle to handle the tremendous amount of data. However, for AI, it was just another typical workday.

Artificial intelligence and machine learning, two cutting-edge technologies, assist organizations in managing the enormous amounts of data they are left with. AI can identify trends, predict results, and suggest the optimal course of action in line with the objectives and missions of the organization.

  • Talent Acquisition and Hiring

Posting a job ad, assessing resumes, and conducting interviews are common recruitment procedures in many businesses. However, it is no longer how things operate. Many firms employ AI-powered recruiting and talent-sourcing technologies to locate qualified applicants quickly, yet human engagement will always be necessary for securing the top prospects.

Artificial intelligence (AI) solutions for talent sourcing may read a job description written in natural language and suggest the best candidates based on the listed qualities. Chatbots can aid recruiters in the selection procedure. With the help of these AI-automated interviewing technologies, hiring managers may obtain interview responses from a bigger pool of candidates with the same amount of effort.

Read this article: Applying Data Analytics to Finance

  • Growing Productivity

AI is supporting businesses in increasing productivity in a variety of ways, including process automation and streamlining daily tasks. As a result, less time is spent working by employees. They do more tasks in a shorter amount of time, enhancing their own productivity as well as the productivity of the company as a whole. The demand for AI and ML will undoubtedly rise in the future years as businesses continue to boost their revenue.

  • Automating Processes

Each day, businesses must do hundreds of tasks. Businesses may automate regular processes with AI, freeing up staff to work on more important projects. The customer assistance division is particularly affected by this. Your staff can use AI-powered chatbots for simple tickets and concentrate on more difficult support cases and marketing-related activities rather than manually responding to every client inquiry.

  • Payment and Invoice

All enterprises have associated financial obligations. It is conceivable that invoices, payment checks, and bills may be frequently transferred between businesses. If done manually, these accounting and financial operations could become exceedingly onerous.

Additionally, mathematical errors could result in enormous losses. Through automation, artificial intelligence has made financial administration incredibly simple and precise.

The Future of Artificial Intelligence in the Business Domain

Future applications of artificial intelligence, though difficult to predict, a majority of experts believe that those “pragmatic” jobs will become even simpler for computers to perform. In other words, robots will be very practical in daily life. With the right tactics and plans, many new firms are experiencing rapid development and success. The biggest thanks go to artificial intelligence for that. Things are more convenient now than they were in the past since AI-enabled machines do the majority of our labor. 

Through this article, you should have understood that Artificial intelligence is used in a variety of ways in business. In actuality, the majority of us engage with AI on a regular basis in one way or another. From the banal to the astounding, artificial intelligence is already altering practically every business function in every industry. AI technologies are becoming more and more necessary as they spread in order to maintain a competitive edge.

Also refer this article: How is Data Analytics Influencing the Educational Sector?

End Note

Artificial intelligence will undoubtedly play a role in the future, whether it is smooth or jagged. The world will experience new companies, a wide range of consumer and corporate applications, the displacement of some occupations, and the creation of wholly new ones as this technology advances. Artificial intelligence has the capacity to fundamentally alter the economy, and that is the phenomenon for the future.

In case you are passionate about starting a career in artificial intelligence, DataMites do offer detailed artificial intelligence courses that are designed to impart the industry’s best knowledge both theoretically and practically in the domain. DataMites is a global training provider rendering top training in data science, deep learning, machine learning, tableau, python, data engineer, data analytics, blockchain, MLOps, and more such interesting technological domains. Our courses at DataMites are credible and entirely career-oriented with accreditations from internationally recognized IABAC, NASSCOM, and Jain University

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About Data Science Team

DataMites Team publishes articles on Data Science, Machine Learning, and Artificial Intelligence periodically. These articles are meant for Data Science aspirants (Beginners) and for those who are experts in the field. It highlights the latest industry trends that will help keep you updated on the job opportunities, salaries and demand statistics for the professionals in the field. You can share your opinion in the comments section. Datamites Institute provides industry-oriented courses on Data Science, Artificial Intelligence and Machine Learning. Some of the courses include Python for data science, Machine learning expert, Artificial Intelligence Expert, Statistics for data science, Artificial Intelligence Engineer, Data Mining, Deep Learning, Tableau Foundation, Time Series Foundation, Model deployment (Flask-API) etc.

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