The impact of artificial intelligence in business is rising day by day. You presumably engage with artificial intelligence (AI) regularly without even realizing it. There are a lot of use cases for artificial intelligence in everyday life. But what about artificial intelligence in business? It is even more than you can imagine.
Are you scared of AI jargon? We have already created a detailed AI glossary for the most commonly used artificial intelligence terms and explained the basics of artificial intelligence as well as the risks and benefits of artificial intelligence for organizations and others.
What is the role of artificial intelligence in business?
Although the acceptance of AI in modern society is recent, the idea is not. Although the present area of artificial intelligence (AI) was founded in 1956, significant advancements toward creating an AI system and making it a technological reality required decades of labor.
Artificial intelligence is used in a variety of ways in business. In actuality, most of us engage with AI regularly in one way or another. Artificial intelligence is already upending practically every business activity in every industry, from the routine to the astonishing. To keep a competitive edge, AI technologies are becoming more and more important.
According to Semrush, AI is predicted to increase business value and worker skills significantly. “Increased AI adoption in organizations will generate $2.9 trillion in corporate value and 6.2 billion hours of worker productivity in 2021,” according to the study.
AI and machine learning are transforming how organizations can communicate with customers and offer more in less time, from predictive analytics and deep learning to chatbots and picture recognition.
In various industries, including healthcare, sales, HR, operations, manufacturing, marketing, and technology, AI technology can be used in various use cases. Like:
- Self-driving cars and other autonomous technology,
- The internet of things (IOT),
- Medical diagnostics,
- Robotic aid in manufacturing,
- Contactless purchasing,
- Candidate selection for jobs and many more are examples of use cases for AI that are frequently explored.
Did the precursors of artificial intelligence dream of it?
There are countless business opportunities. However, we need a staff trained to handle the technology to integrate AI and machine learning into business. After data architect, cloud computing, data engineer jobs, and machine learning engineers, artificial intelligence careers is hot and on the rise.
Check out the best masters in artificial intelligence online
How is artificial intelligence used in business?
What does artificial intelligence mean in business? Let’s find out.
Among the most popular uses of AI include automation, data analytics, and natural language processing (NLP). How do these three domains improve operational efficiency and streamline processes? They have the following effects on a variety of businesses:
- Automation: As a result of automation, people no longer necessary to do monotonous tasks. By doing tedious or mistake-prone activities, it gives employees more time to concentrate on work of higher value.
- Data analytics: Identifying novel patterns and connections in data enable organizations to uncover previously unreachable insights.
- Natural Language Processing (NLP): NLP improves accessibility for people with disabilities, such as hearing impairments, and gives search engines the ability to be smarter, chatbots more helpful.
Several other present-day business applications of AI also provide:
- Cross-referencing, data transfer, and file updates
- Predicting customer behavior and suggesting products
- Detection of fraud
- Individualized advertising and marketing communications Customer support via phone or chatbot
After giving a brief outline, let’s examine some benefits of artificial intelligence in business.
Benefits of artificial intelligence in business
Here are some of the best benefits of artificial intelligence in business:
Smart pricing
AI is being used in pricing in more advanced ways. Choosing the right price for a product or service is difficult for most businesses.
You will need a ton of data to calculate a product’s price, including consumer activity, rival pricing, production costs, customer reviews, customer willingness to pay, and more.
Businesses can easily track and analyze client behavior across many channels, including online and offline customers, using artificial intelligence (AI). Additionally, AI can combine and analyze these data to improve conversions.
Amazon, Uber, Zara, and more businesses are using AI to set prices.
Customized recommendations
Have you ever seen a pop-up saying, “Clients who bought this also bought…” while shopping online?
There are suggestions for everything from buying automobiles to movies and internet shopping. The recommendation engine is one important factor to consider for increasing your sales and revenue.
You can display to clients products that are comparable to what they are looking for with the aid of AI recommendations.
Netflix, Amazon, and more businesses are using AI to customize recommendations.
Automated recruitment
Finding the right people from a pool of applicants is a vital challenge in human resources or recruitment. Many businesses have difficulty doing it.
The screening process may be simplified using AI. The ideal candidates may be found using AI, who can also schedule the interviews and locate them. This process saves more time and money than you might have thought.
Additionally, AI may offer data on costs per hire and how long a candidate stays in a job or organization.
PepsiCo, Google, and more businesses are using AI for automated recruitment.
Enhanced customer support
Customer service comes in second in importance to marketing in determining a company’s standing and future success. And it takes a lot of time.
The organization and the customers will save a lot of time if AI is integrated with conventional customer support. Chatbots offer useful quick questions and point customers to the appropriate website or executive to quickly resolve their doubts and inquiries.
Offering the appropriate links or information during chats also reduces the need for pointless contact with customer care.
Check out what is artificial intelligence customer service (AIaaS)?
Almost every business that is adopted AI is using the enhanced customer support.
Improved cybersecurity
A single coding mistake could result in cybercrimes that allow someone to steal vital information from your app or website.
However, since AIs are machines, the inaccuracy is manageable. It increases cyber security and reduces the chance of cybercrimes. Most consumers are concerned about the security of their personal data.
Do you know how employees ignore cybersecurity training?
Today, your customer’s trust in you is largely based on the strength of your cyber security. Therefore, integrating AI into your security system will undoubtedly strengthen trust and cyber security.
Check out the cybersecurity best practices in 2022
Real-time analytics
One of AI’s most valuable business benefits is processing massive amounts of data and understanding it in real-time. This strategy enables firms to make important decisions and take action much more quickly, maintaining the company’s competitive position.
For instance, in the transportation sector, drivers can quickly modify their routes depending on data on traffic jams based on their location.
Further development of IoT
Widespread adoption of IoT devices built on platforms with AI components may soon result in ground-breaking advancements. Customers and businesses will gain from this trend.
Staff training
A business that operates in a very competitive market may find that even a small knowledge and qualification gap among its staff members costs it money. As a result, businesses worldwide invest a significant amount of money in training activities to raise the qualifications and skills of their workforce.
By applying an individualized approach to each person, AI can significantly lower the cost of such processes and increase their efficiency. Employees will also find learning more pleasurable as a result of this.
Predictive analytics
AI systems can manage huge amounts of data, spot trends, and make future predictions. People are constantly curious about what will happen next, which is essential for business.
Among the greatest benefits of artificial intelligence are its self-learning capabilities, which include the quick identification of significant and pertinent conclusions while processing data and the capacity to make specific predictions based on them. These tools help companies identify possibilities and ideas that can be used to gain market-competitive advantages.
Is artificial intelligence better than human intelligence? Before you decide, let’s look at the disadvantages of artificial intelligence in business.
Disadvantages of artificial intelligence in business
Here are some of the disadvantages of artificial intelligence in business:
Cost
Cost is a major factor when purchasing AI technologies. Businesses that lack in-house expertise or are unaccustomed to AI frequently have to outsource, which presents problems with cost and upkeep. Smart technologies can be expensive due to their complexity, and you may incur additional fees for continuous maintenance and repairs.
Additional costs may include the computational costs associated with building data models, etc.
Dependency on machines
We might be moving toward a day when it will be challenging for humans to work without the aid of machines, given all the automation that is taking place around us.
Due to the development of AI, we will become exponentially more dependent on machines. As a result, human reasoning and mental faculties may deteriorate with time.
Skills shortage
The lack of technical people with the requisite expertise and training to efficiently deploy and manage AI technologies is another major barrier to AI adoption.
There is a shortage of experienced data scientists and other specialized data workers proficient in machine learning, building strong models, etc.
Data scarcity
Even with the wealth of data already accessible to businesses, using artificial intelligence is still difficult in several ways. Most business applications of artificial intelligence rely on machine learning, which needs a lot of data to train the model.
This restricts the application of AI in new business sectors where there is a lack of data. The enormous amount of data we currently have is frequently completely unstructured and unlabeled. As most AI applications require supervised training on labeled data, this presents a problem for implementing AI in business.
Artificial intelligence in business examples
We are surrounded by artificial intelligence (AI). Most certainly, you have used it to conduct web searches, check your most recent social media feed, or use it throughout your daily commute.
Whether you realize it or not, AI significantly impacts your personal and professional life. Here are some artificial intelligence in business examples that you could already be utilizing regularly.
Artificial intelligence in business management
In business management, artificial intelligence is used in:
- Spam detectors,
- Speech-to-text tools,
- Smart personal assistants like Siri, Cortana, and Google Now,
- Automated insights, especially for data-driven sectors automated responders,
- Online customer assistance process automation,
- Sales and business forecasting,
- Security surveillance (eg financial services or e-commerce).
Artificial intelligence in e-commerce
In e-commerce, artificial intelligence is used in:
- Intelligent searches and relevancy tools,
- Service that offers customization,
- Purchase forecasts and product recommendations,
- Online transaction fraud detection and prevention,
- Optimizing prices in real-time.
Artificial intelligence in marketing
In marketing, artificial intelligence is used in:
- Curation of content and recommendations,
- Individualized news feeds,
- Image and pattern recognition,
- To process unstructured data from customers and sales prospects, language recognition,
- Ad targeting and real-time, optimized bidding,
- Customers into segments,
- Sentiment analysis and social semantics,
- Electronic web design,
- Anticipates customer needs.
Artificial intelligence in business management
In business management, artificial intelligence is used in:
- Process automation,
- Cognitive insight,
- Cognitive engagement
Use cases/examples of AI in different industries
Over the past few years, all industries have experienced a significant surge in using artificial intelligence (AI) in business. Like:
Artificial intelligence in the oil and gas industry
The 2019 investment by BP in Belmont Technology serves as an illustration of how AI is being used in the oil and gas sector. To strengthen its AI skills, BP collaborated with the digital start-up to create a cloud-based platform known as “Sandy.”
The platform made it possible for BP to gather useful insights from data on geology, reservoir projects, history, and geophysics. BP might interpret the simulation findings using neural networks to consult the data.
Artificial intelligence in the renewable energy industry
The generation from older sources, such as coal, is declining, reducing the grid’s inertia caused by large rotating machinery like steam turbines. Without grid inertia, we risk having electrical systems that are less stable and more prone to blackouts.
Using real-time data acquired by sensor technology and satellite photos, AI helps us comprehend these dangers better. The organization can take appropriate action due to AI’s ability to estimate capacity levels and downtime windows.
Artificial intelligence in the mining industry
AI is increasingly used in mining to optimize processes, increase safety, improve decision-making, and extract value from data.
Learning more about the environment is one-way mining companies use AI. Artificial intelligence (AI) can map and forecast topography more precisely than humans, avoiding potential mistakes.
With computer vision systems, pattern matching, and predictive data analytics, AI is also being used to find new resources to mine. These enable data analysts in the mining industry to forecast where the best resources will be found by analyzing vast amounts of data.
Artificial intelligence in the engineering industry
Engineers do a lot of work in many different businesses. By using AI, they may spend less time on time-consuming jobs. They use machine learning algorithms to find patterns so they can eventually make reliable decisions.
As technology advances, machines can support production lines and manufacturing operations. Vehicle engineers have used robotics to manage precise maneuvers on the assembly line without requiring human assistance.
Additionally, AI supports effective data management and the dismantling of departmental silos.
Artificial intelligence in the software engineering industry
Every stage of the software development cycle requires human developers to work on various procedures and use AI. It has the tools to convert spoken language into computer code and machine language, providing correct results automatically.
Check out what programming language for artificial intelligence is the best
AI algorithms provide intelligent software analysis, testing, development, and decision support systems. These tools can assist with software development procedures already in place that was designed for labor-intensive program development.
Artificial intelligence in the manufacturing industry
AI and machine learning models have been implemented by 60% of manufacturing organizations. Furthermore, Global AI in Manufacturing Market Trends projects that the market will grow to $16.7 billion by 2026.
Check out the process of controlling digital manufacturing with AI
General Electric is one business that has used AI in the production process. The 125-year-old energy company has started integrating AI into every aspect of its business.
Artificial intelligence in the fintech industry
Fintech and the broader banking industry may benefit from the practical applications of artificial intelligence. According to Autonomous Research, by 2030, AI technology may enable the financial services industry to cut operational expenses by 22%.
Banks using data to assess a customer’s creditworthiness is one example. Institutions can use AI to analyze client data and decide on credit rates without worrying about charging too much or too little.
Fraud detection is another excellent application for the fintech sector. Machine learning tools can respond in real-time to data to identify fraudulent behavior and uncover patterns and linkages.
What are the current trends in Artificial Intelligence?
IT professionals would be well to watch a few more emerging trends in AI. Like:
- Data wrangling
- Robotic process automation (RPA)
- Customer-facing AI plows
- AI boosted supply chains
- Natural Language Generation (NLG)
- Autonomous vehicles
- Convergence of IoT and AI
- Augmented intelligence
- Ethical AI
Conclusion
AI and machine learning have revolutionized businesses and will remain so for a long time.
Check out the best real-life examples of machine learning
AI use in commercial environments reduces time spent on repetitive processes, increases staff productivity, and improves the entire customer experience across IT operations and sales. At a level humans are incapable of, it also assists in avoiding errors and spotting impending catastrophes.
It is understandable why businesses are using it to enhance various operational aspects, from oil and gas to fintech. Businesses at the forefront of AI will benefit financially and win the competition in the future.
