Artificial Intelligence (AI) utilizes Data Analytics
across various domains.
1. Healthcare Diagnostics:
To help radiologists identify diseases early, AI
systems evaluate data from medical imaging tests (such as MRIs and X-rays). By
examining patient data and medical literature, IBM Watson for Oncology, for
example, provides recommendations for cancer treatment options.
2. Financial Services:
Transaction data is
evaluated by AI-driven analytics to identify fraudulent activity. Businesses
that monitor transactions and spot odd patterns that could point to fraud, like
PayPal, use AI algorithms.
3. E-commerce Recommendations:
Websites such as Amazon and Netflix use
artificial intelligence (AI) to examine user behavior and preferences and
provide tailored product recommendations. In order to recommend products or
content, AI systems analyze past data and user interactions.
4. Autonomous Vehicles:
AI uses information
from GPS, cameras, and sensors to make judgments in real time for autonomous
vehicles. AI algorithms are used by Tesla's Autopilot to interpret this data
for safety and navigation.
5. Customer support:
AI-driven chatbots
examine consumer inquiries, applying natural language processing (NLP) to
discern intent and deliver pertinent answers. AI chatbots are used by companies
like Apple and Google to help people.
6. Smart Energy Management:
AI forecasts
demand and analyzes consumption trends to maximize energy use. AI analytics are
used by smart grids to better effectively balance supply and demand.
7. Manufacturing and Predictive Maintenance:
Artificial
intelligence systems examine sensor data from equipment to forecast maintenance
requirements and avert malfunctions, hence decreasing downtime. Predictive
maintenance is used in manufacturing and aviation by companies such as GE.
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