European Journal of Mechanical Engineering Research (EJMER)

EA Journals

Artificial Intelligence

Transforming Industries with Big Data-Powered AI: Case Studies and Insights (Published)

This research paper explores the pivotal role of Big Data in advancing the field of Artificial Intelligence (AI) and delves into the opportunities, challenges, and wider implications associated with this intersection. As AI continues to evolve, the demand for massive datasets and sophisticated algorithms has grown exponentially. Big Data, characterized by its volume, velocity, variety, and veracity, provides a rich source of information to enhance AI capabilities. The paper begins by elucidating the fundamental connection between Big Data and AI, highlighting how large-scale datasets are essential for training, validating, and improving AI models. It underscores the significance of structured and unstructured data from diverse sources, including social media, IoT devices, and healthcare records, in shaping AI’s learning and decision-making processes. The paper also explores the potential for AI to revolutionize data analysis, enabling the discovery of hidden insights, patterns, and correlations that were previously unattainable.

Keywords: Artificial Intelligence, Big Data, General Data Protection Regulation, Gradient Boosting Algorithms, machine learning

Unleashing the Power of Big Data: A Catalyst for Advancements in Artificial Intelligence (Published)

In an era marked by the rapid accumulation of digital information, the interplay between big data and artificial intelligence (AI) has become a catalyst for transformative advancements. This abstract provides an overview of our comprehensive exploration into the profound impact of big data on the evolution of AI. This paper investigates how the volume, variety, and velocity of big data are empowering AI to reach unprecedented levels of sophistication. Big data-driven innovations, including deep learning, natural language processing, and predictive analytics, are redefining industries and driving efficiency, personalization, and data-driven decision-making. By understanding the intricacies of this relationship, this research aims to serve as a compass for AI practitioners, researchers, and policymakers. The synergistic journey of big data and AI holds the key to a future of unprecedented innovation and societal transformation, provided it is navigated with a commitment to responsible, ethical, and transparent development. The fusion of big data and artificial intelligence (AI) represents a transformative synergy that is reshaping industries and research alike. This abstract provides an overview of a comprehensive study that explores the pivotal role big data plays as a catalyst for advancements in AI. By analyzing how large-scale data is harnessed, processed, and integrated into AI systems, this research showcases the profound impact of this collaboration.

Keywords: Artificial Intelligence, Autonomous Systems, Big Data, Cognitive Computing, Deep Neural Networks, Finance, Healthcare, Recommendation systems

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