Applied AI refers to the use of artificial intelligence technologies—like natural language processing, machine learning, and predictive analytics—to solve real-world business problems. Unlike theoretical AI, applied AI focuses on practical implementation in areas like decision-making, automation, customer service, and operations. Understanding and completing an applied AI in business program is essential for students preparing to enter a rapidly evolving workforce.
Primary Benefits of Applied AI in Business
Practical Implementation
Businesses embed AI models into workflows to streamline operations, from customer support to data analysis.
Tangible Value Creation
AI creates measurable benefits: improved decision-making, higher accuracy, reduced costs, and operational efficiency.
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Enhanced Decision Making
By analyzing large datasets, AI supports fast, data-driven decisions—especially through predictive analytics.
Automation and Efficiency
AI automates repetitive tasks so employees can focus on high-impact work while reducing error rates.
Integration with Existing Systems
AI tools enhance existing IT and business systems instead of replacing them, making adoption more accessible.
Human-AI Collaboration
AI doesn’t replace people—it complements them. It provides insights and support while humans make strategic decisions.
Common Applications of Applied AI
AI business applications often include:
Customer Service – AI-powered chatbots and virtual assistants handle common inquiries and improve user experiences.
Predictive Analytics – Businesses use AI to forecast demand, detect fraud, and anticipate churn.
Process Automation – From invoice processing to quality control, AI boosts speed and accuracy.
Personalization – Recommendation engines deliver targeted ads, content, and products that improve conversion rates.
Real-World AI Business Examples
These examples illustrate how applied AI is actively transforming various industries. The companies below demonstrate practical use cases that bring measurable value across customer service, operations, finance, and more:
Customer Service and Support
- Zendesk and boost.ai use AI-powered chatbots to provide 24/7 support, improving responsiveness and user satisfaction.
- McDonald’s deployed IBM watsonx AI for automated order-taking that understands multiple languages and menu variations. However, last year the fast-food giant announced that they were ending its test run of AI drive-thru technology in over 100 restaurants.
Recommendation and Personalization Engines
- Netflix applies AI to analyze user behavior and suggest content tailored to individual preferences, increasing engagement and retention.
- Shopify and Amazon use AI for product recommendations and dynamic pricing based on user activity and market conditions.
Predictive Analytics and Decision Support
- IBM Watson Discovery offers deep insights and trend forecasts to support data-driven decisions.
- Microsoft Azure Machine Learning enables businesses to simulate outcomes and plan strategically in real time.
Supply Chain, Logistics, and Operations
- UPS and DHL utilize AI for route optimization, warehouse management, and delivery accuracy.
- UPS also employs machine learning to assign delivery confidence scores and reduce package theft.
Manufacturing and Maintenance
- General Electric (GE) uses predictive AI to monitor equipment health, reducing downtime and preventing failures.
Banking and Finance
- Citi and Scotiabank use AI chatbots and generative tools to improve customer service and operational efficiency.
- Commerzbank and United Wholesale Mortgage streamline loan processing and documentation with AI automation.
HR and Talent Management
- Unifonic and Toshiba leverage tools like Microsoft Copilot to increase productivity and streamline workflows across departments.
Administrative and Legal Automation
- Cognizant and Commerzbank deploy AI agents for contract generation, risk scoring, and document automation—saving hours of manual work.
Retail and Inventory Management
- Amazon and Wayfair use AI to forecast demand, optimize stock levels, and ensure timely fulfillment while minimizing costs.
Developing Applied AI Skills as a Student
Applied AI isn’t just for seasoned professionals. Students can start building relevant skills now by:
- Exploring beginner-friendly AI tools like ChatGPT, Perplexity, and Google Colab.
- Practicing with datasets to understand how AI makes predictions or uncovers trends.
- Taking online courses in machine learning, Python programming, or data analysis.
- Joining clubs or hackathons focused on AI and business analytics.
- Applying AI tools in school projects—like analyzing survey data or optimizing a marketing plan.
These foundational experiences can help you stand out when applying for jobs or internships in AI-enabled industries.
Campus and Applied AI in Business
In business, applied AI is about using AI technologies to solve organizations’ real-world problems. Results can include improved efficiency, productivity, decision making, and innovation, as well as increased savings
Here at Campus, you can earn a two-year business administration degree with an applied AI concentration. The program combines AI-focused coursework with foundational business studies, and was designed to prepare students for the application of artificial intelligence across various business settings.
By the time you complete it, you will have gained a thorough understanding of AI’s role in personal finance, wealth management, financial planning, and more. Our curriculum uses AI tools and techniques, including penAI and ChatGPT EDU, to build upon our business program’s core competencies.
And because we believe that college should be accessible, our degree programs are priced under the Pell Grant maximum. So if you’re awarded a full grant, you may not have to pay any portion of your tuition out of pocket. Other financial aid grants are also available.
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FAQs
What is applied AI, and how does it differ from general AI?
Applied AI focuses on using artificial intelligence tools for real-world tasks like automation and data analysis. General AI is broader and more theoretical, aiming to mimic human thinking.
How is AI used in business today?
AI helps businesses personalize marketing, automate support, optimize logistics, and make data-driven decisions. It improves efficiency, cuts costs, and enhances customer experience.
Can students learn applied AI without a computer science background?
Yes. Many applied AI tools are accessible through low-code platforms and business-focused applications. Business students can also learn the basics through guided coursework.
What careers use applied AI in business?
Roles in marketing, finance, supply chain, HR, and data analysis increasingly require familiarity with applied AI tools and workflows.
How does Campus prepare students for AI in business?
Campus offers a two-year business degree with an Applied AI concentration, combining foundational business training with hands-on AI tools and real-world projects.