- Tie-up offers firms a one-stop-solution for their information naming needs ,
- Human-in-the-loop type ensures greater exactness in tagging outputs
TDCX, a provider of digital customer experience ( CX ) solutions to technology and high-tech companies, recently partnered with SUPA, a Malaysian based generative artificial intelligence ( AI)-powered data labeling company. The partnership aims to assist businesses in overcoming one of the biggest obstacles facing them as they try to create artificial intelligence ( AI ) by labeling raw data to make it understandable for machine learning algorithms.  ,
Data management is still a challenge for businesses trying to achieve their AI goals, with 72 % of leading companies citing it as one of the biggest obstacles preventing them from scaling AI use cases, while 8 in 10 ( 81 % ) claim that training AI with data was more challenging than anticipated.
Lianne Dehaye, Senior Director,  , TDCX AI, said,” Without accurate, structured and reliable data, your business simply is n’t ready to leverage generative AI. Many businesses are in a rush to take advantage of relational AI because of the high interest in it. Truth is, some businesses either do not perform the necessary first step of data naming or overlook the resources required to accomplish it successfully. This results in instances where AI projects fail and do n’t return on 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 method, this strategic confirmation process empowers authors to work as data type teachers, thus minimizing possible errors or routing issues. We look forward to utilizing TDCX’s global reach and extensive client base to enable more businesses to harness the power of their data and alter their running strategies for performance and growth.
Companies will gain from the comfort of having a companion who can offer an all-in-one option that combines the best of technology and human skills to offer high data outputs as a result of TDCX and SUPA’s cooperation. People annotators can shorten the processing times for large datasets by using SUPA’s technologies for handling large datasets. This will help businesses improve the effectiveness of their AI types ‘ training and increase the value for the company.
” The issue of quality information is even more crucial in CX programs,” said Lianne”. Beyond being correct, it is also necessary to make sure that the data is accurate and takes social nuances into account. People cleverness and understanding come into play in this area.
TDCX believes that the partnership with SUPA may expand its products and make it easier for clients to incorporate AI into their Ax techniques more quickly and easily.
Enterprise-ready options from SUPA
SUPA’s solution caters to a range of diverse industries, from consumer retail, transport ( autonomous vehicle ), agriculture, manufacturing to healthcare. Additionally, it supports data types for diverse modalities, including multilingual texts and audio data, as well as visual data like videos and images. This ensures that clients are given specific, pertinent training data that is appropriate for the needs of their particular industry.
Clients will keep all data safe in their own cloud storage, which TDCX and SUPA teams use to manage it properly. Both organizations are ISO27001, SOC2 and General Data Protection certified.
For more information, please visit:  , https: //tdcx. ai/data-labeling