Microsoft Unveils Priva Suite Expansion to Navigate Evolving Privacy Landscape
Microsoft has solidified its position at the forefront of enterprise data privacy and compliance. The tech giant unveiled a comprehensive expansion of its Priva platform, introducing five new automated products designed to assist organizations worldwide in navigating the rapidly evolving privacy regulations. Paul Brightmore, principal group program manager for Microsoft’s Governance and Privacy Platform, emphasized the challenges faced by businesses in prioritizing data privacy. Microsoft’s new Priva products aim to shift enterprises from reactive to proactive data privacy operations through automation and robust risk assessment. The AI-powered offerings provide complete visibility into an organization’s entire data estate, regardless of where it resides. Microsoft’s strategic bet on privacy automation positions Priva as an all-in-one privacy governance solution for the enterprise, aiming to make privacy a key dependency and major revenue driver across their product stack.
Gretel Unveils World’s Largest Open Source Text-to-SQL Dataset, Empowering Businesses to Harness AI’s Potential
Gretel, has taken a significant step towards democratizing access to high-quality AI training data. The company released the world’s largest open source Text-to-SQL dataset, a move set to accelerate AI model training and unlock new possibilities for businesses worldwide. The aim is to facilitate the development of powerful AI models that can understand natural language queries and generate SQL queries, bridging the gap between business users and complex data sources. Yev Meyer, Chief Scientist at Gretel, highlighted the significance of quality training data in the realm of Large Language Models (LLMs) and AI. Businesses stand to benefit greatly from this release as they struggle to access and utilize data from various sources. The dataset not only offers a solution to this challenge but also includes plain-English descriptions of the SQL code for easier understanding and value extraction.
Meta Introduces “Made with AI” Labels and Tightens Deepfake Rules Ahead of U.S. Elections
Meta, the parent company of Facebook, has announced significant changes in its approach to digitally created and altered media ahead of the upcoming U.S. elections. Meta will introduce “Made with AI” labels for AI-generated content on its platforms starting in May. This labeling will be extended to videos, images, and audio, aiming to provide transparency to users. Moreover, Meta will introduce separate and more prominent labels for digitally altered media that poses a high risk of deceiving the public on important matters. This shift signifies a move towards informing viewers about the origin of manipulated content rather than solely removing it. The new labeling approach will cover content on Facebook, Instagram, and Threads, with immediate application of the “high-risk” labels. These changes precede the U.S. presidential election, where the use of generative AI technologies in political campaigns raises concerns.
Microsoft Enhances Azure AI Search with Increased Storage and Support for Large RAG Applications
Another one from Microsoft. Microsoft has enhanced its Azure AI Search to make it more cost-effective for developers creating generative AI applications. Despite keeping the price unchanged, the company has significantly increased vector and storage capacity, allowing developers to access more data efficiently. Moreover, Azure AI Search now supports applications from its partner, OpenAI, expanding its retrieval system capabilities. This enhancement is available to customers subscribing to Azure AI Search’s basic and standard tiers in various regions globally. For enterprise customers utilizing Azure AI Search, Microsoft offers increased flexibility for integrating external large language models (LLMs). The integration with OpenAI’s ChatGPT, GPTs, and Assistant API allows Microsoft to power queries and file additions in these AI products. This update is part of Microsoft’s ongoing efforts to enhance Azure AI Search, with past updates focusing on speech, search, language, security, and ensuring the safety and reliability of AI technologies.
