Data Management
AI is transforming organizations globally, but lurking behind every AI success story is an invisible barrier that often goes unaddressed: data silos. Surprising as it may seem, nearly 90% of organizations are still grappling with data silo issues, impeding their AI ventures. The prevalence of these silos and their significant impact on AI
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,
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