Data Management
In a world increasingly dependent on digital landscapes, the cybersecurity domain has experienced a seismic shift. With the proliferation of artificial intelligence (AI), traditional phishing practices have morphed into a sophisticated realm of cyber threats tailored for greater impact. Understanding the transformation in phishing dynamics,
Veeam Software has announced its new SaaS backup solution, Veeam Data Cloud for Microsoft Entra ID, which aims to simplify and enhance the protection of digital identities for Entra ID tenants. With the alarming rise of over 600 million attacks on Entra ID, formerly known as Azure AD, each day, safeguarding organizational digital identities has
Could pretraining data selection be the key to unlocking the full potential of large language models? Unlocking the Full Potential of Large Language Models In the rapidly evolving world of artificial intelligence, the performance of large language models (LLMs) hinges critically on the quality and composition of their pretraining data. However,
The IMD Wrap articles from WatersTechnology.com analyze key aspects of data management in the financial industry, highlighting technological advancements and their impacts. The articles address economic and market risks, the importance of environmental data, and the lessons from AI's evolving nature. They also explore the trend towards cloud
The latest developments in the field of cybersecurity have led to the introduction of Darktrace's DEMIST-2, a cutting-edge AI-driven model designed to revolutionize data loss prevention. The increasing sophistication of cyber threats has highlighted the limitations of traditional data classification methods, necessitating advanced AI capabilities
The integration of artificial intelligence into data extraction from financial documents presents both immense potential and significant challenges. This article delves into the complexities involved in deploying AI technologies for this crucial task, examining the technological hurdles, financial investments, and accuracy concerns that firms