In line with global ESG initiatives, companies are increasingly focusing on energy management.
But without the expertise, most people have a hard time keeping up with energy efficiency issues. Fortunately, generative AI can help. Advantech provided a challenge to the smart energy management category of the AI Wave: Taiwan Generative AI Application Hackathon, held by DIGITIMES on May 18-19, 2024, asking participating teams to leverage generative AI to transform the user experience of smart energy management.
Advantech also provided resources and data for the teams to use. The team, “Playing a Part in AI,” consisting of De-Ru Yu and Si-Yu Tsai from 8 Interactive and Ting-Ni Wu from CTBC Securities, created an AI Agent, a virtual expert to guide energy-saving meetings.
The team's goal was to help managers new to energy efficiency, who lacked the experience to ask the right questions, organize data, and perform analysis, tackle the challenge. The team stood out from a strong field of competitors and received a unanimous Honorable Mention award from the judges.
Generative AI has demonstrated its powerful capabilities in a variety of application scenarios, and businesses are now striving to harness its power.
To enable one-key data analysis and efficient energy management, Playing a Part in AI has developed a solution that uses generative AI to search data and prepare presentations before meetings, provide strategy suggestions and insights after meetings, and track records and personalized reports periodically, allowing even managers who are inexperienced in energy conservation to quickly grasp the key points of the meetings.
Playing a Part in AI built an energy-saving conference AI agent using the Anthropic Claude 3 Sonnet model from Amazon Web Services (AWS) Amazon Bedrock, a fully managed service that creates high-performance foundational models on Amazon Web Services (AWS), combined with the serverless computing service AWS Lambda and the fast NoSQL key-value database service Amazon DynamoDB.
Before the meeting, the manager simply inputs the meeting topic, and the AI agent will analyze large amounts of data and generate charts to help the manager identify key points. After the meeting, the manager can use his mobile phone to upload data to the platform, where it can be sorted, analyzed, and archived by the generative AI engine. For regular tracking, the AI agent will send notifications with customized reports and charts according to user settings, allowing the manager to stay informed of the project status.
The Playing a Part in AI team members come from a variety of backgrounds, including engineering, marketing, and business planning. The team attributes their success to the comprehensive training they received at the AWS Generative AI Workshop, which helped them get on the same page and communicate without barriers, helping them complete their project and win the award.
The team “Playing a Role with AI” won an award for their AI Agent, a virtual expert at the Energy Conservation Conference.
