Persistent Systems has launched Pi-OmniKG, a new AI-driven knowledge graph solution developed with Google Cloud technology, aimed at enhancing biomedical research capabilities.

This innovative tool addresses common challenges in biomedical research, which is often slowed down by the complexities of data integration and analysis. With its ability to efficiently manage both structured and unstructured datasets, Pi-OmniKG allows healthcare and life sciences organizations to streamline their data mining processes, providing richer insights and accelerating decision-making.

Key features of Pi-OmniKG include:

• Reduction of hypothesis generation time, enabling quicker, evidence-based decisions.
• Increased efficiency in data processing.
• Integration of a variety of data types from multiple sources to create a comprehensive knowledge base.
• Flexible components that can be tailored to meet specific client needs.

The solution utilizes advanced Google Cloud technologies such as Vertex AI, BigQuery, and Cloud SQL, further enhancing its capability to deliver high-quality insights.

Ganesh Nathella, Senior Vice President and General Manager of HCLS Business at Persistent, emphasized the importance of overcoming the obstacles posed by managing vast datasets in the field of biomedical R&D. He noted that Pi-OmniKG represents a significant step forward in enabling life sciences organizations to leverage data effectively.

Shweta Maniar, Global Leader for Healthcare & Life Sciences Solutions at Google Cloud, highlighted how Pi-OmniKG exemplifies the potential of AI to foster faster discoveries and innovations in healthcare.