Infoflow Knowledge Management Tequitl Tlanechicoliztli Tepanchihualiztli ītēchcopa Ying Li, Wei He, Meng Xu and Yang Zhang

Tlanāhuatīlli Infoflow Knowledge Management Tequitl Tlanechicoliztli Tepanchihualiztli ītēchcopa Ying Li, Wei He, Meng Xu and Yang Zhang cē cencā mahuizzō tēmacēhualōni īpan huēyi 2022 Mahuizolli A' Design Award Bronse īpan Tlaixnamiquiliztli, Nenonotzaliztli ihuan Tlatequipanoliznemiliztli Tlachihchihualiztli Nēhuilīztli Tlamantli.

BronseTlaixnamiquiliztli· 2022

Infoflow Knowledge Management Tequitl Tlanechicoliztli Tepanchihualiztli

īpal Ying Li, Wei He, Meng Xu and Yang Zhang

Tlanāhuatīlli: Baidu Online Network Technology (Beijing) Co., Ltd

Mahuizolli A' Design Award Bronse Tēmacēhualōni īpan Tlaixnamiquiliztli Tlamantli

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Tlaneltīlīlli Tēmacēhualōni

Xictlaneltilia Tēmacēhualli ītēchcopa #137101

Xiquitta Tlahcuilōlcalli Xiquitta A' Design Award ītechcopa Āmatl Tēmachiyōtīliztli Tlamachiōtl

Tlapalli

Tlanēxtilistli

Ītechcopa Infoflow Knowledge Management Tequitl Tlanechicoliztli Tepanchihualiztli

Infoflow Tlaixmatiliztli Tlayecanaliztli ye se tlanechicoliztli tepanchihualiztli tlen mochihua ipampa tlacenttlaliliztli, tlanahuatiliztli huan occeppa tequitiliztli itech nochi tlaixmatiliztli tlen altepetl tequitiloyan. Nin tlanechicoliztli quitlapehpenia tlaixmatiliztli itech nemachtiloni tlacamej, huan quinequi tlamatiliztli ipan cequi tequitl tlen cada se tequitqui. Yehyecoliztli tlacatlachihualiztli quimatia quenin toca tequitiloyan, ica ini huelis motlapohuas tlaixmatiliztli tlen quinamiqui itech se tlahtolli noso se nechicolli ica se sanoyeh amoxtli. Motemoas hueliz ica se tlahtolli, se ohtli noso se temachtilli. Nin tlapalehuiliztli molnamiqui ipan Android, iOS, MacOS huan Windows ica sanoyeh yolloyotl. Itechpa nin, monequi ma xitini tlaixmatiliztli tlen sanoyeh quiptic itech tequitiloyan.

Tēixīmachōtiliztli

Ītechcopa Mahuizolli A' Design Award Bronse

Infoflow Knowledge Management Tequitl Tlanechicoliztli Tepanchihualiztli ca in quicuic in Mahuizolli A' Design Award Bronse, hueyi tlamahuizoliztli tlen momaca in cualli tlachihualli in motenehua ipampa yancuic tlamantli, tlamatiliztli ihuan ixtlamatiliztli. In quicuicah Bronse ca tlachihualli in quipia toltecayotl ihuan quinextia in cenca miac nemiliztli ihuan tlamatiliztli intlachihuanime. Ca quinequi in Infoflow Knowledge Management Tequitl Tlanechicoliztli Tepanchihualiztli ca tlazohtli tlamantli, mahuiztic ihuan cualli. Ni dizayno in quicuic Bronse quipia cualli toltecayotl ihuan quitta in tlen tepiton. Infoflow Knowledge Management Tequitl Tlanechicoliztli Tepanchihualiztli quipaquiltia in tlacah ihuan quitlamahuiztiltia in intlanequiliz.

Tlanēxtilistli Ītēixpan

Āmatl Tlanextīliztli

Tlapōhualli, tēquitqueh īwan tēchmachilīztli ōquinmaca in tlanēxtīlīlli.

Cē Zan Ītēchcopa: 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
Huēyiliztli īhuān Tlacualtepēhualli: Universally applicable to all models including Android, iOS, MacOS and Windows and all sizes
Tōcāitl: Enterprise office, AI, user experience, UI design, design system, office system, knowledge management
Tlachīhualiztli Māchiyōtl: The app is universally applied to Android, iOS, MacOS and Windows. Consistent experience is provided for different terminals depending on multiple AI technologies
Tlanāhuatīlli Nētēcahuilīztli: 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
Tlatēmōliztli: 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
Tēyōllālīliztli: 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.
Tēquitl Cāhuitl: 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.
Tēquitl Ōhuitl: 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
Calpolli Tlācah: Ying Li,Wei He,Meng Xu,Yang Zhang,Xiying Wang,Junjie Huang
Īxiptla Tlanēxtīlli: Copyrights belong to Baidu Online Network Technology (Beijing) Co., Ltd.2020