In today’s rapidly evolving technological landscape, two prominent fields, data science and artificial intelligence (AI), have emerged as driving forces behind innovation and progress. While often discussed independently, these fields are intricately interconnected, each enhancing the capabilities of the other. Fagen Wasanni Technologies brought this topic to our attention in their article, “AI Data Quality Analysis: The Intersection of Data Science and Artificial Intelligence.”
At the heart of the synergy lies data. Data science is the art of extracting meaningful insights from vast amounts of data, encompassing data collection, cleansing, analysis, and interpretation. AI focuses on developing systems that can perform tasks that would typically require human intelligence. This is achieved through machine learning algorithms, which enable systems to learn patterns from data and make predictions or decisions.
As data becomes more abundant and AI technologies continue to evolve, the synergy between these fields will only strengthen. The real challenge is that most organizations have little knowledge on how AI systems make decisions. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Data Harmony is our patented, award-winning, AI suite that leverages explainable AI for efficient, innovative, and precise semantic discovery of your new and emerging concepts, to help you find the information you need when you need it.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.