Knowledge Sharing at TIAC – AI Month

In recent years, AI has become a ubiquitous term in the technology sector. Many discuss artificial intelligence and its possibilities, often without a clear understanding of what it truly represents or how it can be applied in specific contexts. Recognizing this, TIAC set a goal to define realistic AI possibilities that align with our business objectives.?

To accomplish this goal, we initiated a process of mapping internal AI resources, skills, and perceptions. This involved designing an internal survey comprising several work-oriented segments, including awareness and understanding, AI in software development, and business operations. The survey also covered concerns and challenges to gauge everyone’s perception of AI.?

Subsequently, we researched the latest AI trends and gathered information about other organizations’ perceptions and usage of AI in software development and specifically in fintech industries. After analyzing the results and comparing them with research findings, we were able to address some of our initial questions. We explored the current global state of AI and how the technology is being used, how TIAC fits into this landscape, the level of AI knowledge our employees possess, and how they are utilizing AI tools.?

By concluding this information, we were able to make strategic suggestions regarding the course of action for AI implementation at TIAC. We identified ways to best utilize AI technologies for operational and business effectiveness, as well as methods to further increase AI technology implementation expertise for our clients.?

During October, we will be organizing a series of TIAC talks around the topic of AI from multiple angles, covering R&D’s research and internal AI skills and perception, and having our colleagues do a knowledge transfer on AI studies and experiences in the implementation of AI technologies on commercial projects.?

The first TIAC talk in AI-October was about AI in Software Development: Insights from TIAC’s Internal Assessment?

The scale of the AI revolution is staggering. But this growth comes with challenges. AI development is energy-intensive and costly.?

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