The rise of artificial intelligence (AI) and machine learning (ML) has been met with an insatiable need for data. However, sourcing real-world data comes with significant challenges related to privacy, cost, and accessibility. Enter synthetic data: an innovative solution designed to replicate
The growing prevalence of artificial intelligence (AI) across various industries has brought a renewed focus on data privacy concerns. In this industry report, we will explore the current state of data privacy in AI applications, analyze emerging trends, and provide a comprehensive forecast. The
In recent years, Artificial Intelligence (AI) has made significant strides, impacting various sectors including healthcare. One particular area where AI demonstrates transformative potential is in the treatment of rare diseases. Traditionally, AI applications in healthcare have relied heavily on
September 4, 2024, marked a significant milestone for Revefi, a company co-founded by Sanjay Agrawal and Shashank Gupta, with its announcement of successfully raising $20 million in Series A financing. This funding round aims to further their innovative approach to data engineering through their
Immigration, Refugees, and Citizenship Canada (IRCC) faced an urgent need to enhance their data processing capabilities. Tasked with managing huge datasets and performing complex fuzzy string matching, IRCC turned to Amazon Elastic Compute Cloud (Amazon EC2) for a scalable and efficient solution.
Moss Adams, a prestigious accounting firm ranked among the top 15 in the industry, has ventured into the dynamic realm of artificial intelligence (AI) consulting services, presenting a powerful offering for businesses striving to harness AI technology. This initiative unveils two specialized
