San Francisco, CA – July 23, 2024 – Aura Intelligence, the premier SaaS platform for workforce analytics, proudly announces a significant enhancement in its latest update, Aura 2.8.6. This platform update introduces an advanced role-mapping system powered by artificial intelligence (AI) and machine learning (ML), promising unmatched accuracy and actionable insights.
This revolutionary feature redefines how businesses analyze and leverage workforce data, providing a comprehensive understanding of workforce dynamics across industries and languages.
Aura’s new role mapping system integrates sophisticated AI and ML algorithms to accurately translate and classify workforce data.
This advanced system significantly reduces unclassified entries by accounting for industry-specific nuances and multiple languages, providing businesses with more relevant and actionable insights. The enhanced taxonomy classes ensure higher accuracy and a comprehensive understanding of workforce dynamics.
Matthew Quinn, Partner at the London office, highlights the impact of Aura's AI-powered role mapping: "Aura's advanced role mapping system has revolutionized our data analysis, providing us with precise and relevant insights tailored to our industry needs."
Catherine Curtis, Consultant at the Chicago office, adds, "The integration of AI and ML in Aura's role mapping has significantly enhanced our ability to classify and analyze workforce data across different languages and industries, making our models more reliable."
Founded by Bain & Company in 2020, Aura Intelligence is headquartered in San Francisco, CA. Aura leverages over 1 billion data points from diverse sources to provide unparalleled workforce insights, supporting consulting firms, private equity, hedge funds, and large enterprises in strategic decision-making. For more information, visit Aura's homepage or contact our support team at info@auraintel.com.
Experience the future of workforce analytics with Aura’s AI-powered role mapping. Learn more through a tailored conversation and one-on-one demonstration.