Artificial Intelligence (AI) and Generative AI are the changes to the rules of the game. We will see their major development in the next five years and fundamentally change our way of working.For DBS Bank, the use of artificial intelligence is no stranger, and we have worked in this field for more than 10 years.
Over the past five years, we have expanded artificial intelligence capabilities, and all departments of the Bank have brought the actual results of 370 million yuan to the Bank in 2023, more than twice the previous year.We are confident that in the next few years, we will expand the economic impact of our artificial intelligence plan and provide greater flexibility for us in the business and economic cycle.
The difference between generating artificial intelligence is that we are now capable of processing a large amount of non -structured data (UNSTRUCTURED DATA).Coupled with our existing ability in structured data, we can well optimize the results of the current artificial intelligence use cases, and at the same time enable a new type of data -driven use case.In our early -stage experiments, we put forward more than 240 ideas, 15 of which are entering the production stage from the experimental stage.These plans are roughly concentrated in three opportunities:
· Make our way of working easier and improve productivity and efficiency
· Create value through better customer participation and new customer claims
· Create a positive impact on our business model through potentially opening up new market segments and markets.
Our current focus is the first field.The generation artificial intelligence has handled daily tasks and improved our working methods, so that employees can focus on more strategic and added activities, such as establishing a deeper customer relationship, and the prospects are very bright.
We use generated artificial intelligence at the Enterprise Telephone Banking Service Center to conduct telephone transcription, overview, compile service requirements reports and knowledge base search, reducing the time required to handle customer requests while improving our reaction quality.
In terms of corporate and institutional banking business, we use generating artificial intelligence to summarize the company's reports and fill in related fields in advance to help customer managers reduce the time required to fill in the environment, society and governance (ESG) risk questionnaires.
The development of artificial intelligence auxiliary software for generation is being achieved.By generating the generation of artificial intelligence code and testing, we are expected to save a lot of time in software development.The launch of the "DBS-GPT" version of our employee's ChaatgPT version is helping employees carry out content creation and writing tasks in a safe environment.We are also developing an enterprise knowledge base for our employees to search for and comprehensive non -structured information for various tasks.
Like any new technology, the emergence of generating artificial intelligence has brought a natural curiosity and adaptation to our employees.But change also provides exciting opportunities for growth and innovation.We are determined that by focusing on the synergy between humans and artificial intelligence capabilities, generate artificial intelligence becomes our deputy.
Although generating artificial intelligence has huge potential, there are also new risks, especially in the fields of data confidentiality, generating artificial intelligence hallucinations / prejudice / toxicity and network security.At the Star Show, we will continue to strengthen the existing artificial intelligence / machine learning risk framework to cope with the above risks.We also establish a responsible artificial intelligence working group composed of senior leaders from multiple disciplines. Before any case is deployed to the production environment, evaluate and resolve these risks.Our existing responsible artificial intelligence data use framework continues to provide us with guardrails when we study new use cases.This framework is called Pure, which ensures that we can use data in the way of PurposeFul, UNSURPRISING, RespectFul, and Explainable.
In addition, we are constructing a technical infrastructure that can ensure a large -scale language model in a safe way.At the same time, as a part of the MindForge Alliance (editor: planning for the financial industry to formulate a production artificial intelligence risk framework), we cooperated with the Singapore Financial Administration to formulate the risk of discussing the risks and opportunities of the financial sector to discuss the risks and opportunities of the financial sector and opportunities for opportunities.Essence
We are at a historical turning point, and we all need to understand the role of generating artificial intelligence in our lives and work.DBS has established a governance structure that can obtain both genetic artificial intelligence and can manage this emerging field risk.
Author Piyush Gupta is the executive president of Star Fair Group
Translation is provided by Star Show
