English 
Uhuru Corporation will begin offering a service that utilizes Slack and its in-house developed low-code development platform “enebular” to summarize conversations on Slack as highlights using AI and distribute them in text and audio format across multiple channels. This will create an environment where users can easily catch up on the vast amount of daily interactions, helping to improve work efficiency and information sharing within the company.
Slack is a business platform that helps improve productivity by promoting communication both inside and outside an organization. Groups can be formed on a project or team basis, and users can easily communicate with each other in a social networking-like manner, enabling quick communication beyond the boundaries of companies. In April of last year, a new generative AI function, “Slack AI,” was launched, which generates answers by referencing large amounts of past conversation data, making it possible to access information more efficiently than with conventional keyword searches.
ウフル は、社内コミュニケーションツールとしてSlackを活用し、中央省庁、地方自治体、大手経済団体など幅広い組織への導入支援を行っています。
こちらもお読みください： ソフトクリエイト、セーフAIに一般公開用チャットボット機能を追加
社内では、AIをテーマとしたSlack専用チャンネルが開設され、日々活発な議論やAIの機能検証が行われています。社内課題の可視化や業務効率化にAIを活用するほか、AIの最新ニュースをラジオ形式で毎日自動放送するなど、AIの活用範囲を広げる取り組みも行っています。
Through these activities, a need emerged: “We want to be able to more easily access the information stored in Slack and the conversations taking place simultaneously on multiple channels.” While the Slack AI summary function has made information organization more efficient, we began to think that if there was a system that allowed employees to input information by “listening while doing something else” while on the move, in line with their individual lifestyles, or if there was a way to easily obtain only the information they needed across multiple channels, this could lead to further improvements in work efficiency.
To achieve this, we began developing a multi-channel AI summary service that includes voice information delivery, utilizing Slack and our in-house low-code development platform “enebular.”
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