Malaysia's SUPA and Singapore-based TDCX to help companies address a key barrier in generative AI adoption

• Tie-up offers companies a one-stop-solution for their data labeling needs 
• Human-in-the-loop model ensures greater accuracy in labeling outputs

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SUPA, a Malaysian based generative artificial intelligence (AI)-powered data labeling company recently partnered with Singapore headquartered BPO company, TDCX, a digital customer experience (CX) solutions provider for technology and blue-chip companies. The tie-up is to help companies overcome one of the biggest challenges in their AI journey – labeling raw data to make it understandable for machine learning algorithms. 

Data management continues to be an area hampering the AI ambitions of enterprises with 72% of leading organizations citing this as one of the top challenges preventing them from scaling AI use cases while 8 in 10 (81%) say that the task of training AI with data had been more difficult than expected.

Lianne Dehaye, Senior Director, TDCX AI, said, “Without accurate, structured and reliable data, your business simply isn’t ready to leverage generative AI. With the strong interest in generative AI, many companies find themselves in a rush to benefit from it. However, the truth is, many companies either do not take the critical first step of data labeling or underestimate the resources needed to get it done well. This leads to situations where AI projects end up failing and there is little return on that investment. 

Mark Koh, CEO and co-founder, SUPA, said, “Our platform's edge lies in our ability to curate and process large training datasets with up to 98% accuracy for labeled data. Achieved through our multi-stage human-in-the-loop approach, this proactive validation process empowers annotators to act as data model teachers, thus minimizing potential errors or routing issues. We look forward to tapping TDCX’s global scale and strong network of clients to help more companies unlock the power of their data and transform their operating models for efficiency and growth.”

Through TDCX and SUPA’s collaboration, companies will benefit from the convenience of having a partner that can provide an all-in-one solution that combines the best of technology and human expertise to deliver quality data outputs. Leveraging SUPA's technology for handling large datasets, human annotators can reduce data processing times by up to five times. This will enable companies to train their AI models more effectively and to generate greater value for the business.

“The issue of quality data is even more pertinent in CX applications,” said Lianne. “Beyond being accurate, there is also a need to ensure that the data is free from bias and takes cultural nuances into account. This is where human intelligence and understanding come in.”

TDCX believes the collaboration with SUPA will strengthen its offerings and enable it to help clients integrate AI into the CX strategies more quickly and easily.

‍Enterprise-ready solutions from SUPA

SUPA’s solution caters to a range of diverse industries, from consumer retail, transport (autonomous vehicle), agriculture, manufacturing to healthcare. It also supports data types across various types of modalities, including visual data such as images and videos, multilingual texts and audio data. This ensures that clients receive precise and relevant training data services suited to their unique industry demands.

Data handled by the TDCX and SUPA teams will be managed securely, with clients retaining all data within their own cloud storage. Both companies are ISO27001, SOC2 and General Data Protection certified.

For more information, please visit: https://tdcx.ai/data-labeling