Puneet Matai, a seasoned data and AI expert, has made significant contributions to the banking industry by driving data and digital transformation initiatives. His strategic leadership, encompassing data governance, compliance, and AI/ML, has resulted in tangible benefits, including improved data quality, reduced risk, and enhanced customer experience. This article delves into his remarkable achievements and insights into the future of data management in banking.
Google continues to enhance its productivity apps with the introduction of a new ‘Convert to Table’ feature in Google Sheets. This feature, long available in Microsoft Excel, simplifies the process of creating formatted tables, allowing users to easily add filters, separators, and drop-down menus. Google Sheets now provides a more Excel-like experience, saving users time and effort in organizing and analyzing their data.
Rubrik, a data management software company backed by Microsoft, priced its IPO at $32 per share, above its expected range. The company raised $752 million from the offering, valuing it at $5.6 billion. Rubrik is hitting the public market during a slow period for venture-backed tech IPOs, but the company has strong growth potential with its cloud-based cybersecurity software.
DDN, the global leader in artificial intelligence (AI) and multi-cloud data management solutions, today announced that Jump Trading, a leading quantitative trading firm, has selected DDN to bolster its high-performance computing (HPC) infrastructure. By leveraging DDN’s cutting-edge storage solutions, Jump Trading aims to accelerate its AI-driven quantitative trading strategies and maintain its competitive edge in the fast-paced world of global financial markets.
MongoDB is an open-source, document-oriented database designed to meet the demands of today’s businesses and developers. Unlike traditional relational databases, it stores data in flexible, JSON-like documents, enabling the storage of complex hierarchies and arrays while providing a dynamic schema for unstructured data.
With the advent of AI/GenAI, organizations face a unique set of challenges and opportunities. To ensure success, companies must prioritize cultural transformation, empower their workforce, and embrace a comprehensive approach to data management. By focusing on the human element, fostering innovation, and addressing cultural barriers, businesses can harness the full potential of AI/GenAI.
This content provides information on how to use data effectively.
