AI Applications Article Erica Duke University of Phoenix DSC/520 Osama Morad 07/29/2024 AI Applications Article Artificial intelligence (AI) supports a wide range of applications throughout various domains of technology from, leveraging machine learning(ML), natural language processing(NLP), automated speech recognition(ASR), computer vision, and robotics to solve complex problems and automate tasks. Artificial intelligence applications are transforming various sectors of technology by automating tasks, providing insights, enhancing decision-making, and developing new opportunities. As AI technology continues to advance, these developments will continue to impact technology and likely expand throughout the industry, leading to even more innovative …show more content…
These advancements are providing data scientists with the ability to make more informed decisions based on the data, and unlocking new opportunities across various industries. What Will AI Look Like Over the Next 15 Years Over the next 15 years, AI is expected to undergo significant advancements, transforming various aspects of society and industry. One being the enhancement of cognitive abilities for AI to have the abilities to perform tasks that are more human like on levels of intelligence and advancements in understanding and generating human language, enabling more natural and effective interactions with machines. Two are the enhancements in autonomous systems related to vehicles becoming more prevalent, improving transportation safety and efficiency. Third, transforming the workforce by creating new job roles and industries focused on developing, managing, and overseeing AI systems, as well as addressing ethical and regulatory challenges. Fourth, security and privacy with enhancements in cybersecurity to improve measures by detecting and responding to threats in real-time, adapting to new forms of attacks and advanced capabilities to protect personal data and ensure compliance with privacy regulations, balancing the need for data …show more content…
Automation of data processing is an AI algorithm designed to automatically clean and preprocess data, identify and correct errors, handle missing values, and normalize datasets. This reduces the time and effort required for data preparation. This feature supports engineering, by automating feature selections and extractions, identifying the most relevant variables that contribute to predictive models. The improvement of predictive models by enhancing the AI algorithms designed to introduce sophistications in machine learning, such as deep learning and ensemble methods, designed to model complex relationships within data more effectively than traditional statistical methods, along with high accuracy and better generalization capabilities for predictive tasks. Ethical and transparent AI is designed to build stronger emphasis on developing explainable AI models that provide transparency and interpretability, ensuring that AI-driven decisions are understandable and trustworthy. Finally, some challenges to consider that will impact AI and data science development are ethical and regulatory issues, security and data privacy