The use of artificial intelligence in critical infrastructure creates a new class of cyber-physical and institutional risks. AI systems depend on extensive data pipelines, complex models, software supply chains, cloud services, interfaces, and continuous...
In the era of digital transformation, organizations are increasingly reliant on cloud-centric data engineering frameworks to manage vast amounts of data efficiently. The exponential growth of data, coupled with its critical role in driving business...
As organizations increasingly leverage Artificial Intelligence (AI) to foster innovation and improve operational performance, the availability of high-quality, well-documented, and easily accessible data has become a decisive factor for success. This paper...
Various sectors within the healthcare industry have employed artificial intelligence (AI). The convergence of artificial intelligence and dentistry is captivating! Artificial intelligence (AI) has the capacity to completely transform several facets of...
The recent increase in the use of big data and analytics in various global industries has created pressure on industries to develop reliable and flexible frameworks for data governance. Historically used approaches can be ineffective in addressing the...
In the current digital landscape, characterized by the rapid expansion of Artificial Intelligence and data-intensive technologies, data governance has evolved into a strategic foundation for sustainable organizational growth rather than a purely regulatory...
Big data science has and is rapidly growing in the industries and is known to help in data analysis and forecasting. But the growth of data sharing in organizations creates many privacy problems especially in distributed environments. Discussing privacy...
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