- Blog Categories
- Project Management
- Agile Management
- IT Service Management
- Cloud Computing
- Business Management
- Business Intelligence
- Quality Engineer
- Cyber Security
- Career
- Big Data
- Programming
- Most Popular Blogs
- PMP Exam Schedule for 2024: Check PMP Exam Date
- Top 60+ PMP Exam Questions and Answers for 2024
- PMP Cheat Sheet and PMP Formulas To Use in 2024
- What is PMP Process? A Complete List of 49 Processes of PMP
- Top 15+ Project Management Case Studies with Examples 2024
- Top Picks by Authors
- Top 170 Project Management Research Topics
- What is Effective Communication: Definition
- How to Create a Project Plan in Excel in 2024?
- PMP Certification Exam Eligibility in 2024 [A Complete Checklist]
- PMP Certification Fees - All Aspects of PMP Certification Fee
- Most Popular Blogs
- CSM vs PSM: Which Certification to Choose in 2024?
- How Much Does Scrum Master Certification Cost in 2024?
- CSPO vs PSPO Certification: What to Choose in 2024?
- 8 Best Scrum Master Certifications to Pursue in 2024
- Safe Agilist Exam: A Complete Study Guide 2024
- Top Picks by Authors
- SAFe vs Agile: Difference Between Scaled Agile and Agile
- Top 21 Scrum Best Practices for Efficient Agile Workflow
- 30 User Story Examples and Templates to Use in 2024
- State of Agile: Things You Need to Know
- Top 24 Career Benefits of a Certifed Scrum Master
- Most Popular Blogs
- ITIL Certification Cost in 2024 [Exam Fee & Other Expenses]
- Top 17 Required Skills for System Administrator in 2024
- How Effective Is Itil Certification for a Job Switch?
- IT Service Management (ITSM) Role and Responsibilities
- Top 25 Service Based Companies in India in 2024
- Top Picks by Authors
- What is Escalation Matrix & How Does It Work? [Types, Process]
- ITIL Service Operation: Phases, Functions, Best Practices
- 10 Best Facility Management Software in 2024
- What is Service Request Management in ITIL? Example, Steps, Tips
- An Introduction To ITIL® Exam
- Most Popular Blogs
- A Complete AWS Cheat Sheet: Important Topics Covered
- Top AWS Solution Architect Projects in 2024
- 15 Best Azure Certifications 2024: Which one to Choose?
- Top 22 Cloud Computing Project Ideas in 2024 [Source Code]
- How to Become an Azure Data Engineer? 2024 Roadmap
- Top Picks by Authors
- Top 40 IoT Project Ideas and Topics in 2024 [Source Code]
- The Future of AWS: Top Trends & Predictions in 2024
- AWS Solutions Architect vs AWS Developer [Key Differences]
- Top 20 Azure Data Engineering Projects in 2024 [Source Code]
- 25 Best Cloud Computing Tools in 2024
- Most Popular Blogs
- Company Analysis Report: Examples, Templates, Components
- 400 Trending Business Management Research Topics
- Business Analysis Body of Knowledge (BABOK): Guide
- ECBA Certification: Is it Worth it?
- How to Become Business Analyst in 2024? Step-by-Step
- Top Picks by Authors
- Top 20 Business Analytics Project in 2024 [With Source Code]
- ECBA Certification Cost Across Countries
- Top 9 Free Business Requirements Document (BRD) Templates
- Business Analyst Job Description in 2024 [Key Responsibility]
- Business Analysis Framework: Elements, Process, Techniques
- Most Popular Blogs
- Best Career options after BA [2024]
- Top Career Options after BCom to Know in 2024
- Top 10 Power Bi Books of 2024 [Beginners to Experienced]
- Power BI Skills in Demand: How to Stand Out in the Job Market
- Top 15 Power BI Project Ideas
- Top Picks by Authors
- 10 Limitations of Power BI: You Must Know in 2024
- Top 45 Career Options After BBA in 2024 [With Salary]
- Top Power BI Dashboard Templates of 2024
- What is Power BI Used For - Practical Applications Of Power BI
- SSRS Vs Power BI - What are the Key Differences?
- Most Popular Blogs
- Data Collection Plan For Six Sigma: How to Create One?
- Quality Engineer Resume for 2024 [Examples + Tips]
- 20 Best Quality Management Certifications That Pay Well in 2024
- Six Sigma in Operations Management [A Brief Introduction]
- Top Picks by Authors
- Six Sigma Green Belt vs PMP: What's the Difference
- Quality Management: Definition, Importance, Components
- Adding Green Belt Certifications to Your Resume
- Six Sigma Green Belt in Healthcare: Concepts, Benefits and Examples
- Most Popular Blogs
- Latest CISSP Exam Dumps of 2024 [Free CISSP Dumps]
- CISSP vs Security+ Certifications: Which is Best in 2024?
- Best CISSP Study Guides for 2024 + CISSP Study Plan
- How to Become an Ethical Hacker in 2024?
- Top Picks by Authors
- CISSP vs Master's Degree: Which One to Choose in 2024?
- CISSP Endorsement Process: Requirements & Example
- OSCP vs CISSP | Top Cybersecurity Certifications
- How to Pass the CISSP Exam on Your 1st Attempt in 2024?
- Most Popular Blogs
- Best Career options after BA [2024]
- Top Picks by Authors
- Top Career Options & Courses After 12th Commerce in 2024
- Recommended Blogs
- 30 Best Answers for Your 'Reason for Job Change' in 2024
- Recommended Blogs
- Time Management Skills: How it Affects your Career
- Most Popular Blogs
- Top 28 Big Data Companies to Know in 2024
- Top Picks by Authors
- Top Big Data Tools You Need to Know in 2024
- Most Popular Blogs
- Web Development Using PHP And MySQL
- Top Picks by Authors
- Top 30 Software Engineering Projects in 2024 [Source Code]
- More
- Tutorials
- Practise Tests
- Interview Questions
- Free Courses
- Agile & PMP Practice Tests
- Agile Testing
- Agile Scrum Practice Exam
- CAPM Practice Test
- PRINCE2 Foundation Exam
- PMP Practice Exam
- Cloud Related Practice Test
- Azure Infrastructure Solutions
- AWS Solutions Architect
- AWS Developer Associate
- IT Related Pratice Test
- ITIL Practice Test
- Devops Practice Test
- TOGAF® Practice Test
- Other Practice Test
- Oracle Primavera P6 V8
- MS Project Practice Test
- Project Management & Agile
- Project Management Interview Questions
- Release Train Engineer Interview Questions
- Agile Coach Interview Questions
- Scrum Interview Questions
- IT Project Manager Interview Questions
- Cloud & Data
- Azure Databricks Interview Questions
- AWS architect Interview Questions
- Cloud Computing Interview Questions
- AWS Interview Questions
- Kubernetes Interview Questions
- Web Development
- CSS3 Free Course with Certificates
- Basics of Spring Core and MVC
- Javascript Free Course with Certificate
- React Free Course with Certificate
- Node JS Free Certification Course
- Data Science
- Python Machine Learning Course
- Python for Data Science Free Course
- NLP Free Course with Certificate
- Data Analysis Using SQL
Artificial Intelligence (AI) in Business: A Complete Guide
Updated on 29 October, 2022
9.9K+ views
• 11 min read
Table of Contents
The term "artificial intelligence" refers to machines' simulation of human intelligence processes, particularly computer systems. Artificial Intelligence (AI) is a broad field that can be broken down into many different subfields. This article will focus on the most common areas of AI in business and how it can be used to improve business processes. Artificial intelligence in business intelligence can transform businesses and industries by streamlining processes, automating work, and increasing efficiency. It's important to understand what artificial intelligence is so that you can clearly grasp where it might be helpful in your business. Read on to learn more about the role of artificial intelligence in business intelligence and its potential applications.
To start your career in AI in business, you must have Business Intelligence and Visualization certification.
What is Artificial Intelligence (AI) in Business?
Artificial Intelligence (AI) is the science of machines that can learn and reason like humans. AI can be used to analyze data and make predictions, automate tasks, or help solve problems. Artificial intelligence used in business intelligence is a key technology for businesses and organizations seeking to improve their operations and productivity. AI in business can be applied in customer service, marketing, sales, finance, HR, IT, and more. It's also a hot topic, with companies announcing AI-Powered "Chatbots" or "Personal Assistants" to help customers with tasks like scheduling appointments or checking out their shopping carts. The technology could have a positive impact on customers' experiences. Still, it raises important ethical questions like how much responsibility should be placed on AI decision-making regarding sensitive issues like health care or financial services.
AI and Businesses Today
AI is the concept of machines (software and hardware)that behave as if they are intelligent. Artificial intelligence applications in business are used for various purposes, including self-driving cars, medical diagnosis, and consumer products. As AI continues to become more advanced, AI in business could greatly impact sectors like transportation, healthcare, and education. Several companies are investing in AI to improve their products and services. In addition, governments are putting money into AI research to develop new tools that they can use to solve problems. AI is still in its early stages but has the potential to change the world in many ways. It will affect businesses and governments in ways we cannot imagine today.
Examples of Smart, AI-Enabled Products and Services
Some examples of smart, AI-enabled products and services are:
1. Twitter
Illegal content, fake news, and hate speech are identified by Twitter using AI technology. AI removes nearly 3,00,000 terrorist accounts in one six-month period.
2. Instagram
They use AI to fight cyberbully and bring down offensive comments.
3. Roomba robot vacuums
This robot cleaner uses AI to scan the room and find obstacles. Based on the size of the room, this type of vacuum determines how much hoovering is needed.
Examples of Smarter Business Operations
These are just a few examples of how businesses harness AI to satisfy customers and advance projects. Examples of significantly more extensive applications in commercial processes include:
1. Dominos
In Germany, they use Starship Technology, those automatic delivery robots in delivering the pizzas. These AI delivery vehicles have a speed of 10mph and are much more efficient to use than delivery trucks and cars for short-distance deliveries.
2. Burberry
Here, AI is used to combat counterfeit products and improve the customer experience.
3. IBM's Chef Watson
They use AI to help chefs. This technology also develops the recipes by suggesting innovative flavor combinations.
Taking a Strategic Approach to AI in Business
Taking a strategic approach by using AI to delight customers is vital. This will help to improve business operations easily. When thinking of a strategic approach for business purposes, AI efforts will focus on delivering high value.
Examples of Artificial Intelligence in Business
Today's data era has stimulated the development of many artificial intelligence technologies in business, including data analytics and personalized business services. Thus, some examples of artificial intelligence in business are:
1. AI in customer service
One of the most controversial examples of AI in the business field is the replacement of humans with AI in customer service. Now customers can interact with companies straightforwardly to resolve problems and complaints. In the chatbots, they can place orders, get information and make crucial conversations with human customer-care representatives.
2. Business Intelligence
This AI in Business became a routine adoption to overcome the challenging insights from the increasing amount of available business data. Through these insights, companies can improve their marketing strategies, better understand their customers, segment them to offer personalized experiences, create business strategies, and utilize artificial intelligence to manage their businesses.
3. Personalized and Targeted Marketing
If your goal is to grow the company revenue, you have to know the wants of consumers and what to market to each. And this lengthy process of examining every consumer can be easily done with the help of AI. Companies can now use AI to market a product more effectively by analyzing customers' online activities to predict and target the right people to market to increase the chances of sales and marketing effectiveness by knowing how to apply AI in business. And this process, at the same time, reduces the overall marketing cost.
4. Product Recommendation and predictive analytics
Companies must be able to recommend products that will retain a customer's interest and satisfy their desires to increase the effectiveness of their marketing efforts and customer engagement. Therefore, companies like Netflix, Spotify, Amazon, etc., use AI technology to understand customers' activities and predict the recommended products.
5. Natural Language processing
companies are now using AI to generate automated business reports without the supervision of humans, as well as conduct sentiment analysis to understand the perception of their brand based on online comments, tweets, etc. Companies can continuously understand by conducting this type of sentiment analysis; you can learn how people perceive your products and services. As a result, services are more personalized, and products are higher quality.
Benefits of Artificial Intelligence in Business
The use of AI poses significant benefits. These are some of the benefits of artificial intelligence in business.
1. Reduce operational time
Artificial intelligence can automate many operational tasks, allowing business leaders to focus on more complex issues.
2. Cost Reduction
Artificial intelligence technologies in businesses save significant salaries and increase revenue by automating tasks such as data analysis that take human resources many hours to complete.
3. Limit human error
It lowers human fallibility. Using data science will certainly benefit from reduced errors, allowing better predictions and data analytics as humans are needed to provide context and understand nuanced situations.
4. Increase Business Insight
AI capabilities help to forecast common business practices. For things that are too time-consuming for companies, artificial intelligence can process billions of data points in seconds, even using historical data to predict future outcomes with high accuracy.
Challenges of AI in Business
Despite the benefits, AI also poses certain challenges. The following are the challenges of AI in business.
1. Lack of Trust
There always persists a lack of trust in AI technology, whether it is the expectations that it will replace the jobs or the concern about data privacy and security. Businesses must establish confidence in the new technology that runs their operations to ensure that the essential cybersecurity protections are in place to secure consumer data.
2. Requires a wealth of clean data
Machine learning algorithms can only be as good as the data used to train them. It will be impossible for AI to learn and analyze without a vast amount of clean data sets.
3. Requires a large amount of computing power
A computing power of billions of watts is required to analyze billions of data points, and that kind of hardware is not cheap. To fully utilize AI and big data, businesses need enterprise-level computing power.
Businesses That Have Transformed Operations with AI
The potential to improve business operations and customer interactions has led some businesses to adopt AI quickly. This helps you to have better access to data across multiple functionalities and maintain customer relationships. Here are some business fields where we see the implementation of AI in business.
1. Sales and business development
AI has created unstructured data that are hard to interpret and enables the consumers' needs. This somehow prioritizes the productivity and effectiveness of the company. E.g., Alibaba uses AI to predict customers' needs and create product descriptions.
2. Travel and transportation
As we know, transportation is integral to a country's infrastructure. With the help of AI, the identification of demand and supply gets easy. It is used in the transportation industry to improve passenger safety, reduce traffic congestion, and many more. For instance - Uber became the ride-hailing giant with AI.
3. Healthcare
AI is now involved in the healthcare industry. Pharmaceutical companies take the help of AI in the research of life-saving medicines within less time, which results in the reduction of cost.
4. Finance
In this sector, AI plays an important role, as it relies on real-time reporting, accuracy, and processing of large quantitative data. They implement machine learning into financial operations by implementing chatbots, automation, algorithmic trading, etc.
5. Document and identity verification
AI is a most recommended feature in identification and verification matters. This technology easily captured the type of ID document and performed face-matching and all types of verification more easily than a human within a second.
A Shift to More Specialized Skills
With specialized skills in AI, business operations are transforming themselves to a certain height of success. Once, human brains were the only thing that helped to stand out in business proposals. Today, with the advanced technology of artificial intelligence, the productivity and service of businesses are growing faster than ever. To succeed in this discipline, you must develop a lot of enthusiasm for AI skills. Some of the skills that are needed to lead the path to a successful business with AI are:
- Programming skills like python, java, R, C++, etc.
- Libraries and Frameworks such as NumPy, Keras, TensorFlow, Matplotlib, etc.
- Excellence in Mathematics and Statistics
- Machine learning and deep learning
- Natural language processing and computer vision
- Data science and data analysis.
Take your business analysis skills to new heights with our interactive ecba course online. Learn anytime, anywhere, and become a certified expert!
Future AI Trends
For the first time, the future of AI in business will allow humans to design the future the way they want. We should look into the future of AI shortly.
- Entertainment companies will be able to generate songs and movies through AI.
- There will be no human supervision required. Companies will become fully automated.
- To address the issue of bias and data scarcity, AI is used to generate quality training data.
With the KnowledgeHut’s Business Intelligence and Visualization certification, you will know how to apply AI in business.
What Does AI Mean for Employees?
There is a tendency for AI to evoke negative feelings in employees. Artificial intelligence in business intelligence could help companies recruit and retain top talent by automating some routine tasks and performing others more effectively than humans. And this leads to the common misconception among employees that embracing AI will eliminate the human element from the workplace. Due to recent concerns regarding job stability arising from AI, much of the workforce has developed skepticism toward it.
Looking to master in data engineering? Discover our best online data engineer courses that will equip you with the skills you need. Start your data science journey today!
Final Thoughts
With the development of artificial intelligence (AI), from basic computer systems that can play chess to self-driving cars and medical robots, AI has become a buzzword in business and technology. As AI becomes more sophisticated and widespread, its effects on society will likely have positive and negative effects. Thus, we should understand AI and work together to shape its future.
If you want to explore more about artificial intelligence in business intelligence or the applications of artificial intelligence in business. Visit our website for various certification programs in AI, which will lead you to a better understanding of what AI is. Don't be late in learning with KnowledgeHut.
Frequently Asked Questions (FAQs)
1. What is artificial intelligence in business?
Computer software with human-like intelligence that boosts revenue, productivity, efficiency, transformation, and business growth is known as AI in business.
2. How does artificial intelligence help businesses?
Artificial intelligence helps businesses in analyzing data and making predictions, automating tasks, helping solve problems, increasing output, etc.
3. How will AI change the future of business?
AI will provide a better and more personalized customer service experience by maintaining the company-customer relationship.
4. What are the benefits of artificial intelligence?
Some benefits of artificial intelligence are reducing operational time, cost, human error, etc.