Infoflow Knowledge Management Aẓeṭṭa n Uxeddim Anmezwar n Tkebbanit by Ying Li, Wei He, Meng Xu and Yang Zhang is a highly esteemed winner of the very prestigious 2022 Tarbaḥt A' Design Award n Lbrunz in Afeṣṣel n Ugrudem, Amyigaw d Tarmit n Useqdac Competition Category.
LbrunzAgrudem· 2022
Infoflow Knowledge Management Aẓeṭṭa n Uxeddim Anmezwar n Tkebbanit
by Ying Li, Wei He, Meng Xu and Yang Zhang
Client: Baidu Online Network Technology (Beijing) Co., Ltd
Tarbaḥt A' Design Award n Lbrunz Winner in Agrudem Category
Verified Award Winner
Verify Award Status for #137101The Design
About Infoflow Knowledge Management Aẓeṭṭa n Uxeddim Anmezwar n Tkebbanit
Infoflow Knowledge Management d aẓeṭṭa n uxeddim anmezwar i usekles, aseddu akked useqdec n tussna n tkebbanit. Aẓeṭṭa-agi ittsemsawal talɣut ɣer tesbadin ifazen yerna iqeddec-d agbur s wudem yemṣadan akked taẓrigt n yal amdan yexdmen. Tamusni tarmitant tettbeggin-d tignit n uxeddim, s wakka tussna yezdin tzemer ad d-teldi seg umeslay neɣ seg tnadi s useɣwen aḥerfi. Anadi yezmer ad yili s wawal-anaruz, s webrid neɣ s tesbadin. Asnas-agi yeddukel deg Android, iOS, MacOS akked Windows s tarmit tiwsatin. Iswi-ines d asenqes n usruḥu n telɣut tuklalt n tkebbanit.
The Recognition
About the Tarbaḥt A' Design Award n Lbrunz
Infoflow Knowledge Management Aẓeṭṭa n Uxeddim Anmezwar n Tkebbanit d amerbaḥ n Tarbaḥt A' Design Award n Lbrunz, tagmat ɛlayen i yisnulfa yelhan, yeṭṭafaren tinawt, tamusni d tezmert. Imerbaḥen n Lbrunz d isnulfa yelhan, ttbanen d timusniwin n tmusni n yimahilen-nsen. Infoflow Knowledge Management Aẓeṭṭa n Uxeddim Anmezwar n Tkebbanit ad yili d asnulfu yettwaɛezzen, yelhan, amaynut. Infoflow Knowledge Management Aẓeṭṭa n Uxeddim Anmezwar n Tkebbanit yettemlil ɣef yimawlan, yettwaɛezzen s tmahilt-is.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- As enterprise data is growing at an annual rate of 42.2% with 68% not being utilized, the valuable enterprise information can be easily lost, impeding the enterprise’s innovative development. With this design, we hope to provide enterprises and employees with structured information and new experience of knowledge acquisition through intelligent information classification, match information accurately with employees’ roles and office scenarios, and improve efficiency of valuable information use
- Dimensions & Packaging
- Universally applicable to all models including Android, iOS, MacOS and Windows and all sizes
- Tags
- Enterprise office, AI, user experience, UI design, design system, office system, knowledge management
- Production Technology
- The app is universally applied to Android, iOS, MacOS and Windows. Consistent experience is provided for different terminals depending on multiple AI technologies
- Design Challenge
- Current enterprises mainly rely on traditional management software and full-time staff for information management. Now we face two main challenges. Deeply integrate AI in product design, and integrate and distribute enterprise information in a more systematic manner, to improve the efficiency of data query. Associate knowledge with specific scenarios based on personas, and allow any member to study new knowledge quickly and easily in multiple scenarios
- Research
- We have conducted user research through questionnaire and interview for enterprise users of different roles and functions. In this way, we not only understand enterprise employees’ pain points in knowledge production and accumulation, but also deeply explore the habits of information organization and application in work against important functions
- Inspiration
- Embodying the future trend of digital office, it provides solutions for enterprises to accumulate and reuse high-value information based on AI technologies. It improves the utilization of enterprise data by means of clear information classification and personalized knowledge recommendation; and inspires enterprises’ sustainable knowledge accumulation capacity based on identification and conversion of work data. It enables employees to enjoy the benefits of the digital era fairly and efficiently.
- Project Duration
- The project was launched in early 2021 and the released version was available in September 2021. The software is updated online. The development team are in Beijing.
- Operation Flow
- Featuring structured information classification and rich content display, it helps users search for knowledge conveniently and flexibly through keywords, paths and themes. It recommends information based on employees’ profiles, enabling users to view and acquire relevant knowledge accurately. It identifies office scenarios based on AI technologies, so users can study new knowledge rapidly and easily by clicking a link in a conversation, meeting or other working scenario
- Team Members
- Ying Li,Wei He,Meng Xu,Yang Zhang,Xiying Wang,Junjie Huang
- Image Credits
- Copyrights belong to Baidu Online Network Technology (Beijing) Co., Ltd.2020
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