Module 4

How does the Internet of Things (IoT) complement AI in business transformation?

• By enabling cloud storage to replace traditional data systems

• By enhancing manual decision-making through connected devices

• By streamlining hardware maintenance without automation

• By providing real-time data through connected devices to enhance AI decision-making

What is a critical technique for integrating IoT data with AI systems?

• Data standardization and API integration for seamless communication

• Using decentralized networks without data protocols

• Avoiding the use of structured data to enhance flexibility

• Implementing manual processes for real-time analysis

Which of the following best illustrates the role of predictive maintenance in IoT and AI integration?

• Scheduling maintenance based on fixed time intervals regardless of conditions

• Using real-time sensor data to predict equipment failures before they occur

• Implementing repairs only after a failure has occurred

• Relying on traditional maintenance practices without data insights

How can businesses utilize AI to analyze IoT-generated data effectively?

• By storing data in siloed systems to protect proprietary information

• By using AI algorithms to focus solely on historical data trends

• By employing AI to uncover actionable insights from real-time IoT data

• By prioritizing fewer IoT devices to reduce data overload

What is a practical benefit of combining AI and IoT in supply chain management?

• Enhancing demand forecasting using real-time data and predictive analytics

• Automating all supply chain decisions without oversight

• Reducing operational visibility to simplify processes

• Focusing only on short-term goals for supply chain improvements