Unit 1 AI Transformation Across Industries Flashcards
How is AI transforming the healthcare industry?
AI is revolutionizing drug discovery, medical devices, and enabling real-time analysis of cancer cells.
AI is revolutionizing drug discovery and medical devices by:
* Modeling biological systems, studying diseases, and discovering drug targets.
* Using lab automation with sensors and robotics for high-throughput screening and drug
formation.
* Implementing in silicon drug discovery with AI and computing for molecular generation,
structure prediction, virtual screening, and predictive molecular dynamics.
What are some examples of AI in financial services?
Banks are embedding AI into various of their services such as fraud detection, robo-advisors, and virtual financial advice.
AI is transforming the financial sector by:
* Using robo-advisors powered by algorithms to select and manage investment portfolios.
* Implementing intelligent video analytics for threat detection and ATM security.
* Enhancing fraud detection accuracy with deep learning and enabling real-time
notifications.
How is AI being used in the automotive industry?
Automakers are using AI for design visualization, engineering simulation, and autonomous driving.
AI is being used in the automotive industry from design to self-driving cars by:
* Utilizing design visualization and engineering simulation.
* Creating industrial digital twins and virtual showrooms.
* Developing intelligent assistants and autonomous driving and parking systems.
How Gen AI revolutionize the computer industry?
Generative AI is revolutionizing the computer industry with its advanced capabilities in natural language processing, content creation, and multi-modal intelligence.
List examples of the impact of AI across difference industries
Al has the transformative potential to infuse every industry due to its capacity to enhance efficiency, decision making and innovation. By leveraging advanced algorithms, machine learning, and data analytics, Al can streamline processes, automate tasks, and uncover valuable insights from vast data sets.
In call centers, AI can power virtual agents that handle common customer inquiries, extract key insights from conversations to improve service, and analyze customer sentiment to identify satisfaction or frustration.
In retail, AI can analyze store traffic patterns, count how many customers are using shopping baskets, monitor aisle occupancy to prevent overcrowding or improve product placement, and provide insights for improving the overall shopping experience.
In manufacturing, AI can assist in designing more efficient products, optimize production processes to boost efficiency, enhance quality control by detecting defects early, reduce material waste, and ensure a safer work environment by identifying potential hazards.
What is aisle occupancy
Aisle occupancy refers to the measurement or monitoring of the amount of space or traffic within an aisle (a row), typically in a retail, warehouse, or industrial setting. It tracks how much of the aisle is occupied by people, equipment, or goods, and how efficiently the space is being used.
sentiment analysis
the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or neutral.
