Module 1

What is the main focus of AI in broad organizational transformation?

• Enhancing employee retention strategies through predictive analytics

• Improving decision-making and operational processes through automation and analytics

• Streamlining traditional marketing efforts with AI-driven campaigns

• Integrating social media analytics into workflows

Fill in the blank: The quality of AI output depends heavily on the ______ and quality of input data.

• A) speed

• B) clarity

• C) quantity

• D) source

Real-time feedback from AI tools allows ______ adjustments to optimize ongoing operations.

• delayed

• immediate

• gradual

• minimal

Fill in the blank: A critical technique for integrating IoT data with AI systems is data ________ and API integration for seamless communication.

• standardization

• decentralization

• fragmentation

• isolation

Fill in the blank: Predictive maintenance in IoT and AI integration involves using ________ data to predict and prevent equipment failures.

• real-time

• outdated

• irrelevant

• delayed

Which of the following is NOT a benefit of integrating AI in collaborative projects?

• Enhancing real-time insights

• Reducing team size

• Limiting AI scope to individuals

• Automating decision-making processes

Which of the following best describes predictive maintenance?

• Ignoring maintenance until failure

• Using real-time data to prevent failures

• Conducting maintenance only during downtimes

• Scheduling maintenance at fixed intervals

What is a key ethical consideration when implementing AI in business transformation?

• Minimizing employee involvement to reduce costs

• Ensuring transparency and managing ethical risks effectively

• Allowing AI to operate without accountability measures

• Avoiding compliance with regulatory standards to expedite AI adoption

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

Fill in the blank: Using real-time sensor data to predict equipment failures is an example of ________.

• Implementing repairs after failure

• Relying on traditional practices

• Proactive maintenance

• Ignoring sensor data