New Technology / Ai Agents
Track AI agents, autonomous workflows, agentic software tools and real-world adoption signals across the next wave of AI products.
AI Agent 的落地與治理關鍵 | SAS 產業顧問喬俊森 | TO Talk EP98
Topic
AI in Industry Transformation
Key insights
- Data-driven methods are increasingly essential for transforming industry practices and enhancing core value. Utilizing AI agents can significantly improve data processing and application
- Two main participants are involved in project development: the customer and the project team. Understanding the customers journey is crucial for creating effective solutions
- The customers experience begins with receiving advertisements and project reports. If customers feel uninformed, they may initiate changes to their production processes
- Monitoring customer interactions and managing their environments is vital for ensuring successful project outcomes. This involves creating systems that facilitate customer engagement and satisfaction
- A comprehensive development plan is necessary for implementing effective risk control measures. This plan should align with the clients needs and ensure consistent communication throughout the project
- AIs role in business development is to clarify return on investment and support senior officials in achieving their goals. Focusing on growth areas will enhance the overall effectiveness of the project
Perspectives
Analysis of AI's role in industry transformation and the associated challenges.
Proponents of AI Integration
- Emphasize the importance of data-driven methods for industry transformation
- Highlight the need for understanding customer journeys to enhance project outcomes
- Advocate for real-time client events to improve decision-making processes
- Stress the significance of service-based strategies for tailored customer experiences
- Promote the integration of AI to enhance operational efficiency and reduce costs
Skeptics of AI Efficacy
- Question the assumption that all relevant data is captured accurately
- Critique the reliance on AI without addressing potential misalignments in management
- Warn about the risks of misguided strategies if customer needs are not accurately understood
Neutral / Shared
- Acknowledge the ongoing development of technology as crucial for market leadership
- Recognize the role of management functions in directing AI processes
Metrics
other
20 years
duration of experience in the industry
This indicates a long-standing expertise in data-driven project development.
Of course, in the past 20 years, we have been in the bank from DataBase, from DataWealth, and from the CRM, CDP, and such a platform.
activities
20-30 activities units
daily activities tracked by SES Custom Intelligence CI360
This indicates a high level of engagement and operational activity.
Every day, at the back of the day, there are 20-30 activities
members
100,000 members units
maximum potential members for the team
This reflects the scale of the platform's reach and potential impact.
It can give you a maximum of 100,000 members
points
30,000 points units
points received by the team of two members
This metric highlights the performance and engagement level of the team.
30,000 points It can be received by the team of the two members
other
the more information we have
refers to the accumulation of customer data
More information can lead to better service customization.
the more and more of these results and the more information we have
other
the next step is how to use LOM or any AI
refers to the implementation of AI in customer service
Effective use of AI can enhance customer service quality.
the next step is how to use LOM or any AI
cost_reduction
reduce the costs of the business USD
overall business operations
Reducing costs can improve profitability and operational efficiency.
To reduce the costs of the business
cost_reduction
reduce the costs of the product USD
product pricing
Lower product costs can enhance competitiveness in the market.
To reduce the costs of the product
Key entities
Timeline highlights
00:00–05:00
Data-driven methods are essential for transforming industry practices and enhancing core value through AI agents. Understanding the customer's journey and maintaining effective communication are crucial for successful project outcomes.
- Data-driven methods are increasingly essential for transforming industry practices and enhancing core value. Utilizing AI agents can significantly improve data processing and application
- Two main participants are involved in project development: the customer and the project team. Understanding the customers journey is crucial for creating effective solutions
- The customers experience begins with receiving advertisements and project reports. If customers feel uninformed, they may initiate changes to their production processes
- Monitoring customer interactions and managing their environments is vital for ensuring successful project outcomes. This involves creating systems that facilitate customer engagement and satisfaction
- A comprehensive development plan is necessary for implementing effective risk control measures. This plan should align with the clients needs and ensure consistent communication throughout the project
- AIs role in business development is to clarify return on investment and support senior officials in achieving their goals. Focusing on growth areas will enhance the overall effectiveness of the project
05:00–10:00
The increasing focus on mobile technology and data-driven development is reshaping client interactions through tools like social media and chatbots. Real-time client events are essential for enhancing decision-making processes and improving customer engagement.
- The focus on mobile technology and data-driven development is increasing, especially with the rise of social media and chatbots. These tools create new client interaction signals that enhance customer engagement
- Real-time events from clients are crucial for decision-making processes. By integrating these events into systems, businesses can better respond to client needs and preferences
- The decision-making process involves utilizing APIs and AI to streamline operations. This integration helps mitigate technical difficulties and enhances the overall efficiency of contract systems
- Understanding customer journeys is essential for tailoring services. Companies need to analyze successful customer interactions to replicate those experiences for new clients
- SES Custom Intelligence CI360 is a platform that facilitates daily activities and progress tracking. This tool aims to improve communication and engagement with clients through creative strategies
- The performance of customer interactions can be significantly upgraded with the right tools. Faster and more creative responses can lead to better customer satisfaction and retention
10:00–15:00
Service-based strategies are crucial for enhancing customer journeys and providing tailored experiences. Companies must leverage AI and data analytics to transform customer information into actionable insights.
- Service-based strategies are essential for enhancing customer journeys and providing tailored experiences. Companies must leverage customer journey profiles to deliver services that meet individual needs
- Utilizing AI and data analytics can transform customer information into actionable insights. This approach allows businesses to improve the quality of customer interactions and optimize their service offerings
- The integration of digital technologies and AI agents is crucial for modern banking. Financial institutions must adapt their systems to incorporate real-time data and enhance decision-making processes
- A comprehensive understanding of digital resources is necessary for effective customer engagement. Companies should focus on developing strategies that utilize both hardware and software to create seamless customer experiences
- The complexity of implementing AI in customer service requires careful planning and execution. Businesses must consider various factors, including risk management and the speed of technology adoption
- Future strategies should prioritize the development of systems that effectively utilize customer data. By doing so, companies can create more sophisticated processes that lead to improved customer satisfaction and loyalty
15:00–20:00
Research is focused on developing strategies to effectively integrate AI within business frameworks to reduce operational costs. Enhancing customer value management through AI requires a deep understanding of customer needs and behaviors.
- Research is being conducted to develop strategies that utilize AI effectively within business frameworks. This approach aims to reduce costs across various aspects of operations, including products and projects
- Integrating AI into the customer journey is essential for enhancing customer value management. By understanding customer needs and behaviors, businesses can tailor their services more accurately
- AI plays a significant role in marketing and customer interactions. The goal is to enhance customer value by ensuring that offerings align with customer expectations and preferences
- The implementation of AI in credit risk management is crucial for financial institutions. It helps identify and mitigate risks associated with fraud and other financial threats
- The management of AI systems is evolving, particularly in the banking sector. As AI experiences grow, institutions are refining their risk assessment processes to better serve public interests
- Collaboration among teams is vital for effective AI integration. By leveraging user-based units and team insights, organizations can enhance their operational workflows and improve overall system performance
20:00–25:00
Management functions are essential for the effective operation of AI systems, aiding in process direction within organizations. The ongoing development of technology is crucial for maintaining market leadership and enhancing operational efficiency.
- A standard function of management is essential for the effective operation of AI systems. This function aids in the calculation and direction of processes within organizations
- The development of technology is crucial for maintaining leadership in the market. Current reports indicate that advancements in technology are significant and ongoing
- Retail risk development is a key focus area for organizations. Leaders in this sector are actively working on strategies to enhance their market presence and mitigate risks
- Next-generation AI systems are vital tools for future growth. These systems are expected to significantly shape market strategies and improve operational efficiency
- Collaboration on projects is emphasized as a way to leverage unique characteristics and capabilities. This approach allows teams to address communication targets and develop innovative solutions
- The analysis presented today highlights the importance of adapting to technological advancements. Engaging with these developments is essential for staying competitive in the evolving market landscape