Panel: The Gen AI Impact: Transforming Financial Industry and Shaping Tomorrow
Panelist:
- Ramine Tinati - ASEAN Chief Data Scientist, Accenture
- Dennis Trawnitschek - Chief Technology Officer, SCBX
- Danai Theptanawatana - Senior Technology Strategist, Microsoft
Moderated by: Tanya Tongwaranan - Community & Strategic Planner, SCBX Moderator
Event: SCBX Unlocking AI EP3, How AI Shapes the Future of Financial Service Industry
Collaboration: SCBX and Insiderly.ai
Venue: SCBX NextTech, Siam Paragon, 4th Floor
Nowadays, no one can deny the importance of AI in life. AI is involved in almost every industry. Both in terms of finance, investment, work, art, and many more.

At the SCBX UNLOCKING AI: EP3 How AI Shapes the Future of Financial Service Industry, in addition to inviting speakers who are experts in various fields of AI to share interesting case studies, a panel discussion titled The Gen AI Impact: Transforming Financial Industry and Shaping Tomorrow will be held to seriously discuss the benefits of AI.
This event was honored by
- Ms. Ramin Tinati, ASEAN Chief Data Scientist, Accenture
- Mr. Dennis Troy Nicschek, Chief Technology Officer, SCBX and
- Mr. Danai Thepthanawattana, Senior Technology Strategist, Microsoft
- The moderator was Ms. Tanya Thongwanan, Community & Strategic Planner, SCBX Moderator.
What are the interesting things from this topic? Follow it in this article.
Gen AI: Helping the Banking Industry Towards a Seamless Future
One of the industries that has seen interesting technological developments is the banking and investment sector. When Generative AI Emerges This circle is also used to create new things.
Mr. Danai said that the field of investment finance has new innovations that are always changing the world, such as having a traditional credit card to an online card.
In addition, Gen AI like ChatGPT is also an important tool that will help small organizations promote themselves to be known so that they can more easily gain a foothold and move in the right direction. Not inferior to large organizations.
Mr. Dennis added that Gen AI helps finance work move in a direction that no one has explored before. Creating a new process, which is interesting to see that the path that is being walked is What interesting and useful things will be created?
Mr. Rameen agreed with everyone's answer and explained that if you look at the big picture, you will find that not only Gen AI plays an important role, but in fact, it is only a fraction of what has brought the industry to this stage because all technology systems contribute to the development of the business further. It brings valuable information, helps connect with customers, and helps each organization find a way to work that meets their needs. To create the best experience for all parties.

If you want to use AI, you need to know, you need to be prepared before you fall off the bus.
If you want to use AI to your advantage, there are many things that workers need to know and prepare for in order to work smoothly. Do not stumble and fall in the middle of the road.
Rameen For example, there has been a constant debate about how AI systems can prevent data leaks and make them more flexible in their work. How do good things happen and new things? This is something that each organization must plan to prevent early because we may not even know when we ourselves will accidentally leak data. Prevent unexpected things from happening.
Mr. Dennis Looking at the regulations on the use of AI, it is still necessary to closely monitor what it should look like and how it should be controlled. From the study, it has been found that the regulations of many institutions are still regulated. The guidelines don't match, but what is very important is the privacy of people. AI developers must protect that data. A lot of AI research will help everything evolve and give a clearer picture of what the regulations should be.
Mr. Danai added that AI should be something that users can trust. It all depends on the many developers who will focus on this. How much social responsibility is there in this regard?
The risks of using Gen AI in investment that everyone must know
Every investment is always risky. The use of AI to help invest is also very risky, and investors cannot be careless.
However, Mr. Dennis believes that in the midst of all the risks, He sees more opportunities for good things to happen. He believes that risk-free is not the best thing, but as long as risk management can be kept within the framework, it will enhance opportunities. Promote good aspects, resulting in better results.
Mr. Rameen assesses that every innovation that occurs comes with risks, but there are many cases in which Gen AI has been found to help improve investment and lifestyle efficiency because Gen AI can help summarize information and summarize the essence of things well. Will the result be worth it?
Mr. Danai agrees with everyone, adding that people in Thailand will be conservative in adopting technology, worried about whether the technology is safe enough. If someone is brave enough to use it and can control various factors, it will be the key to help everything progress, especially in healthcare, which is now considered a circle that is as advanced as the banking industry.
Using AI, you must be able to measure concrete results.
The last point of today's discussion is AI measurement. He emphasized that it is very important to experiment before knowing what the results of AI applications will be. What case studies have occurred that have led to the lessons learned? He found that what is very easy to measure is productivity because you can see how less people work, how much more efficient they are, and how they need to be used correctly, on the right target, and for the right purpose.
Rameen believes that measurement must first understand what is being done. If everyone knows what they are doing, they will be able to see how performance should be measured, how goals should be measured, and how good or bad performance will be achieved.
In addition to efficiency, it is also necessary to take into account the performance. Sending information to customers will result in better performance, whether it will be more valuable, but all of this is still in the experimental stage. No one knows yet what the outcome will be. Therefore, we must not stop experimenting to look for positive effects.
Lastly, Mr. Danai, on behalf of Microsoft, agrees that productivity is very easy to measure, and the company expects to see AI help everyone. Actually increase work efficiency.
"It must be understood that one Gen AI alone may not be able to help improve the organization. It is not possible to solve all problems, but it is to choose the right method. Having more options for customers to use will open the door to learning and help measure more effectively," Mr. Danai concluded.