Year: 2025
Type: article
Abstract: We are at a critical juncture for the development and adoption of Artificial Intelligence (AI). Despite its origins in the 1950s, AI is just now gaining traction as a viable option for commercial markets. Many businesses are strategically investing in AI to shape their long-term success. Data-driven AI focuses on one core principle: learning from data. It involves creating AI models that make decisions, predictions, or recommendations by analyzing vast amounts of data. Unlike traditional rule-based systems, which rely on explicitly programmed algorithms, data-driven AI thrives by identifying patterns, relationships, and behaviors from the data it processes. It's intriguing to consider that every moment spent online-whether it's a Google search or scrolling through social media-contributes to the immense appetite of data-hungry AI algorithms. The swift expansion of data-driven AI has become a focal point across various industries, from healthcare to finance, transforming the way we comprehend information, make decisions, and generate value. AI is everywhere today. In healthcare, it's revolutionizing disease diagnosis and drug discovery. In finance, AI algorithms scrutinize stock market data to generate trading insights. Even agriculture benefits from AI-powered precision farming, which optimizes crop yields by analyzing weather, soil, and historical data. A relatable example is voice recognition. Voice assistants like Siri and Alexa process your voice commands by continually analyzing data from your interactions. These assistants learn and adapt to understand you more effectively over time, demonstrating the capabilities of data-driven AI.
Author: Suresh Babu Basanaboyina
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409365706