Read more about author Matthew McMullen. In an era where large language models (LLMs) are redefining AI digital interactions, the criticality of accurate, high-quality, and pertinent data labeling emerges as paramount. That means data labelers and the vendors overseeing them must seamlessly blend data quality with human expertise and ethical work practices. Crafting data repositories for LLMs requires diverse and domain-specific expertise. As such, this is an opportunity for data…

Read more about author David Mariani. Today’s organizations widely acknowledge the significance of leveraging data and analytics. Virtually every executive envisions establishing a data-driven organization. However, a survey conducted by New Vantage Partners reveals that only a mere 26.5% of companies have effectively achieved this transformative goal. Part of the problem lies in the ineffective collaboration between business and technology teams.  In the realm of data and analytics, there are two foundational…

Read more about author Anastasios Arampatzis. The California Consumer Privacy Act (CCPA) and the General Data Protection Regulation (GDPR) were created to empower individuals with greater control over their personal information. Both laws regulate the activities of organizations that collect and use data in various ways. Data protection plays an essential role in ensuring compliance with both privacy regulations. CCPA vs. GDPR at a glance The CCPA and GDPR are…

Read more about Gilad David Maayan. As data science continues to evolve, new tools and technologies are being developed to help individuals and organizations streamline their workflows, improve efficiency, and drive better results. One of the most powerful and innovative tools in this space is Metaflow, a Python library that makes it easy to build and manage data science workflows. In this comprehensive guide, we’ll explain how Metaflow works to…