Singapore – In a concerted effort to assist companies in overcoming the challenge of labelling raw data, digital customer experience solutions firm TDCX has recently unveiled its strategic partnership with generative artificial intelligence (AI)-powered data labelling company SUPA. This strategic partnership builds upon the company’s goal to make labelling data understandable for machine learning algorithms.
Through the alliance, the company will also benefit significantly from partnering with a provider that offers an all-in-one solution using cutting-edge technology and expert human input to deliver superior data outputs.
Using SUPA’s technology for handling large datasets, human annotators can further reduce data processing times by up to five times. This capability empowers companies to improve the efficiency of AI model training and unlock greater business value.
Furthermore, 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.
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 labelling 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.”
“The issue of quality data is even more pertinent in CX applications. 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. Our collaboration with SUPA strengthens our offerings and will enable us to help clients integrate AI into the CX strategies more quickly and easily,” explained Lianne.
Mark Koh, chief executive officer and co-founder at SUPA, also shared, “Our platform’s edge lies in our ability to curate and process large training datasets with up to 98% accuracy for labelled data. Achieved through our multi-stage human-in-the-loop approach, this proactive validation process empowers annotators to act as data model teachers, thus minimising 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,” he added.
