29 August 2024
IEEE, the world's largest technical professional organization dedicated to advancing technology for humanity, has selected Molecular Connections (MC) to help drive its innovation efforts in its publishing operations. The collaboration would entail developing state of the art technologies including machine learning (ML) to support the critical areas of research integrity, author experience, and streamlining editorial processes across its publishing ecosystem.
IEEE plans to invest in innovative solutions to addresses critical questions around the growing demands of its members and customers to enhance the discoverability and accessibility of IEEE's vast repository of high quality research content. Leveraging MC's expertise in cutting-edge technologies like machine learning and artificial intelligence, IEEE intends to empower scholars and practitioners to uncover valuable insights effortlessly from its vast array of published content. The collaboration will also use MC's existing ML libraries and platform to help strengthen research integrity.
Andrew Heard, Senior Director of Publications IT at IEEE says that "Molecular Connections pairs a highly skilled set of veteran staff with a strong culture of collaboration alongside their commitment to understanding and serving the needs of scholarly publishers, like IEEE, which makes them easy to engage and regard as a valuable partner."
Jignesh Bhate, Founder & CEO of Molecular Connections believes that “this collaboration underscores the transformative potential technology, especially ML and AI can bring to the scholarly publishing. IEEE is a pioneer in adapting to this change and it’s a privilege to work with IEEE for supporting its core focus of advancing innovation, in addition to improving discoverability and accessibility of IEEE's academic content”.
As both organizations embark on this transformative journey together, they remain steadfast in their commitment to driving excellence, integrity, and accessibility in academic research and dissemination.
About Molecular Connections:
Molecular Connections, has more than twenty years of track record leveraging AI-driven proprietary models and machine learning platforms to support publishing clients in their digital evolution. Serving as a thought partner for numerous publishers, it excels in developing data-driven strategies and deploying end-to-end content and technology solutions. The company specializes in Data Engineering, Knowledge Graphs, Workflow Optimization, Ontology creation, Digital Transformation, Tech, Content Migration & Semantic technologies.
With a workforce comprised of over 70% women, Molecular Connections is esteemed as one of the top 15 employers for women in India.
For more information, please visit: www.molecularconnections.com