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Persistent Systems Launches AI Knowledge Graph for Healthcare

Persistent Systems Launches AI Knowledge Graph for Healthcare

Persistent Systems Unveils Pi-OmniKG to Enhance Biomedical Research

Accelerating biomedical research with AI-driven solutions

Persistent Systems, a global leader in Digital Engineering and Enterprise Modernization, has recently launched Pi-OmniKG, an innovative AI-driven knowledge graph solution built in collaboration with Google Cloud. This cutting-edge technology is designed to significantly enhance biomedical research and streamline data mining processes for healthcare and life sciences organizations.

In the fast-paced world of biomedical research, the ability to quickly sift through vast amounts of data is crucial. However, researchers often face hurdles due to the cumbersome and time-intensive nature of traditional data mining workflows. These legacy systems struggle with integrating and analyzing various datasets, which can slow down the process of obtaining actionable insights vital for healthcare and life sciences enterprises.

The Powerful Advantages of Pi-OmniKG

Pi-OmniKG is tailored to address these challenges by modernizing data integration and creating a holistic knowledge base. Through sophisticated capabilities, it helps researchers unlock hidden insights and allows for quicker, evidence-based decision-making. One of the key highlights of this solution is its ability to facilitate direct queries on both structured and unstructured data, enabling researchers to combine internal assets with external data sources.

Transforming Hypothesis Generation

One of the most notable benefits of Pi-OmniKG is its ability to reduce the time taken for hypothesis generation. By enabling faster data processing, researchers can improve their efficiency in research and make decisions based on robust data analysis. The solution supports the seamless integration of various data types from both public and private datasets, creating a unified knowledge base that enhances the decision-making process.

Built with Advanced Technology

This innovative solution is developed using Google Cloud's advanced technologies, such as Vertex AI, BigQuery, and Cloud SQL. These tools leverage GenAI capabilities to streamline workflows and standardize diverse datasets while enabling users to visualize and query data effectively. The intuitive interface of Pi-OmniKG empowers researchers to discover novel relationships among data points and provides high-quality insights that are backed by reliable citations.

A Decade of Collaboration with Google Cloud

Persistent Systems has been collaborating with Google Cloud for over a decade, focusing on delivering transformative solutions to complex industry challenges. The introduction of Pi-OmniKG marks an extension of their ongoing partnership, which has recently been reinforced to enhance Persistent's capabilities in developing AI-driven solutions across various industries.

Vision for the Future

During this milestone announcement, Ganesh Nathella, Senior Vice President and General Manager of the HCLS Business at Persistent, emphasized the importance of data-first approaches in addressing the unique challenges faced by the healthcare sector. He articulated that with solutions like Pi-OmniKG, the company is poised to significantly aid life sciences organizations in streamlining their workflows and driving innovation through enhanced data utilization.

Commitment to Advancing Global Healthcare Innovation

Shweta Maniar, Global Leader for Healthcare & Life Sciences Solutions and Strategy at Google Cloud, shared her perspectives on the growing complexity of biomedical data. She pointed out that as the volume of data increases, organizations need smarter tools that can unlock the potential within. Pi-OmniKG is a prime example of how AI can empower organizations to make swift discoveries, accelerate the journey to market for new therapies, and advance global healthcare innovation.

About Persistent Systems

Persistent Systems is a global service and solutions provider specializing in Digital Engineering and Enterprise Modernization. With over 23,200 employees across 19 countries, Persistent is dedicated to innovation and ensuring client success. The company offers a comprehensive range of services, including AI-powered software engineering, product development, data analytics, cloud computing, and intelligent automation. Recognized as the 'Most Promising Company' of the Year by a leading business network, Persistent is also committed to sustainability and responsible business practices through initiatives such as achieving carbon neutrality and participating in the United Nations Global Compact.

Frequently Asked Questions

What is Pi-OmniKG?

Pi-OmniKG is an AI-driven knowledge graph solution launched by Persistent Systems in collaboration with Google Cloud, designed to accelerate biomedical research.

How does Pi-OmniKG benefit researchers?

The solution reduces hypothesis generation time, improves data processing speed, and integrates diverse datasets to facilitate quicker and more accurate decision-making.

What technologies are used in Pi-OmniKG?

Pi-OmniKG utilizes advanced technologies from Google Cloud, including Vertex AI, BigQuery, and Cloud SQL, leveraging GenAI to streamline data workflows.

What is Persistent Systems' role in the healthcare sector?

Persistent Systems is focused on providing innovative solutions through AI and digital engineering, helping healthcare and life sciences organizations improve their operations and data management.

How does this collaboration with Google Cloud impact the industry?

The collaboration aims to push the boundaries of innovation, enabling faster discoveries, more efficient workflows, and improved outcomes in biomedical research and healthcare.

About The Author

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The content of this article is based on factual, publicly available information and does not represent legal, financial, or investment advice. Investors Hangout does not offer financial advice, and the author is not a licensed financial advisor. Consult a qualified advisor before making any financial or investment decisions based on this article. This article should not be considered advice to purchase, sell, or hold any securities or other investments. If any of the material provided here is inaccurate, please contact us for corrections.

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