The Future of Financial Services: AI, Big Data and Data Architecture

Ready to unravel the complex world of data architecture in financial services? Join us for this conversation with SNIA member Parviz Peiravi, Global CTO for Financial Services at Intel, as he dives deep into the dynamics of data structure and its impact on the financial services industry. The interview takes a close look at the challenges faced by today's financial organizations, including the limitations of traditional data architecture, data silos, cultural barriers, and security issues that impede the adoption of AI and big data technologies. Parviz also sheds light on the implications of data regulations, underscoring the necessity for a robust, modern data architecture to ensure compliance, and offers the steps that financial institutions can take to foster this culture, touching on best practices for data quality, data ops, and data observability.SNIA is an industry organization that develops global standards and delivers vendor-neutral education on technologies related to data.  In these interviews, SNIA experts on data cover a wide range of topics on both established and emerging technologies.About SNIA:Website Educational LibraryX/Twitter LinkedIn