A Collaboration To Build Graph Database Capabilities in AI and Machine Learning Applications

TigerGraph and AI Singapore (AISG) have announced the signing of a Memorandum of Understanding (MOU) to promote Machine Learning (ML) and Artificial Intelligence (AI) industry enablement activities through AISG’s programmes in Singapore. TigerGraph will offer the world’s first distributed native graph database training and certification to AISG’s engineers and apprentices and jointly develop industry best practices for the deployment of AI and ML models in the cloud and at the edge for Singapore use cases.

The partnership will see TigerGraph supporting AISG’s AI Innovation programmes such as 100 Experiments (100E), AI Apprenticeship Programme (AIAP)®, Makerspace AI Bricks and AI Engineering Hub (AIEH) through projects, workshops, seminars, certifications, and joint research and development activities.

As a small country with many digital natives and a national AI programme supported by both the public and private sectors, we already punch above our weight in the technological and economic race. At AISG, we are relentless about nurturing innovation and research breakthroughs that will give birth to bold ideas and applications of AI to solve societal or business challenges. With TigerGraph on board, we are excited by the limitless possibilities of graph database in support of AI and ML applications. For example, new analytics innovation or new graph algorithms may drive superior outcomes to solve AI problem statements presented by the industries in our flagship programme, 100E.

Laurence Liew, Director of AI Innovation

TigerGraph is a transformative native parallel graph database that is uniquely conducive for AI and ML application. TigerGraph database structure of nodes and edges creates connecting and traversing links. AI and ML depend on such links to uncover patterns and data in order to create insights for businesses. TigerGraph’s deep link analytics enables it to process terabytes of data and traverse millions of connections in a fraction of a second, making it an ideal solution for critical applications such as fraud detection, customer360, IoT, AI and ML.

Serene Keng, managing director of channel and alliances for Asia Pacific and Japan, TigerGraph said, “It is now a business imperative to use AI and ML to drive deep insights to transform operations and improve efficiency and the bottom-line. We are proud to join forces with AISG to help companies realise the full potential of graph database for AI and ML application through identification and co-development of industry verticals, sharing of best practices and use cases to accelerate adoption of these critical technologies. TigerGraph is also committed to enabling a steady pipeline of AI professionals with graph database analytics capabilities by supporting the research and development needs of the apprentices in the AIAP®.”

AISG and TigerGraph will explore the setting up of a Graph AI Center of Excellence to conduct proof-of-concept and customer projects under the 100E programme.