恭喜林蔚君 榮獲 INFORMS 2020 George E. Kimball Medal!
Congratulations to Prof. Grace Lin for getting the prestigious INFORMS 2020 George E. Kimball Medal!
https://www.youtube.com/watch?v=dZQ2PSbiuxQ
「運籌與管理科學學會頒發了2020年喬治·E·金博爾獎章給Grace Lin,以表彰並衷心感謝其對INFORMS以及運籌學,管理科學和分析專業的傑出貢獻。」
「For exemplary and distinguished service to INFORMS and the profession of operations research, management science, and analytics, the Institute for Operations Research and Management Sciences expresses its sincere appreciation to Grace Lin by awarding her the 2020 George E. Kimball Medal.」
Award Citation:
"Grace Lin is vice president, director of the Big Data Research Center, and chair professor in the Department of Business Administration at Asia University in Taichung, Taiwan since 2016. She recently founded the United Financial Intelligence Corp. (UFI) to support digital transformation and care quality improvement of aging care organizations. From 2011 to 2016, Dr. Lin was the founder and VP of the Data Analytics Technology and Applications (DATA) Institute and VP for the Advanced Research Institute (ARI) at the Institute for Information Industry (III). At III, she initiated key industry-government R&D programs including Smart Living and Smart Commerce Strategy Plan, Big Data Analytics, Smart Healthcare, Smart Tourism, FinTech, and Smart Agriculture. Previously, Dr. Lin worked for IBM US for more than 16 years as the Global Sense-and-Respond Value-Net Leader and CTO & director for Innovation and Emerging Solutions at IBM Global Business Services, and as a research staff member, manager, and senior manager at the IBM T.J. Watson Research Center. She was an elected member of the IBM Academy of Technology, an IBM Distinguished Engineer, and Relationship Manager for IBM's Integrated Supply Chain.
Her background and experience have positioned Dr. Lin at the intersection of technology, innovation, business consulting, and management as well as the intersection of academia and industry. Referred to by Forrester as one of the six supply chain gurus, Dr. Lin has published more than 80 technical papers, book chapters, and articles, and co-authored 10 U.S. patents and nine Taiwan patents. In 2006, she was named an INFORMS Fellow.
Dr. Lin's service to INFORMS and the profession has been substantial. She has been twice elected INFORMS VP Practice and VP International Activities, she has chaired the INFORMS Fellow Selection Committee and several INFORMS and IEEE conferences. Additionally, she has been active in the Edelman Award Competition, having served multiple years as judge and as a member of the selection committee. Active in WORMS, she has been a strong supporter of women in O.R. Passionate about bridging the gap between academia and industry, she has served on a number of university advisory boards. She has also served on National Science Foundation panels in the U.S., Canada, and Ireland, and editorial boards including Manufacturing & Service Operations Management (M&SOM), Operations Research, INFORMS Journal on Applied Analytics, and Service Science. She is a frequent keynote speaker at global conferences and industry events.
Dr Lin's awards include the INFORMS Franz Edelman Award, IBM Outstanding Technical Achievement Award, IBM Corporate Logistics Award, IBM Research Division Award, IIE Doctoral Dissertation Award, the Purdue Outstanding Industrial Engineer Award, and the Distinguished Alumni Award from the School of Science, National Tsing Hua University, Hsin-Chu, Taiwan.
For exemplary and distinguished service to INFORMS and the profession of operations research, management science, and analytics, the Institute for Operations Research and the Management Sciences expresses its sincere appreciation to Grace Lin by awarding her the 2020 George E. Kimball Medal."
big data analytics and applications 在 AppWorks Facebook 的最讚貼文
[Internet of Things Opportunities in 2020]
With technology advancement in all layers of IoT, from cloud computing to sensors and connectivity modules, to LTE and now 5G, the industry is poised with more opportunities than ever before. And with continued reduction in implementation cost, we are close to crossing the chasm to mainstream use, as the world sees more and more uptake from small and medium businesses, what are the opportunities on the horizon?
#Opportunity_One_Device_Enablement
Without device enablement, there will be no IoT. Rather than building an IoT device from scratch, some of the fastest growing startups in this space are building solutions which can enable all types of devices to connect with the internet, building the enablement layer means helping any smart device, machinery, or even household appliances to efficiently connect to the internet. Although the challenge lies in consolidating standards against big brands and country specific regulations, this layer is estimated to grow at a CAGR of 24% p.a and poised to be a US$ 30 billion market by 2023.
#Opportunity_Two_Cloud_Computing
It goes without saying that cloud computing has been one of the fastest growing spaces in the last decade. Companies like AWS/GCP/AZURE provide large data storage capacity and computing power to fuel sophisticated functionality, security, and analytics. The real opportunity here is to apply existing research data with cloud computing and IoT devices to provide results previously impossible to execute. Agriculture is currently at the frontier of these applications, by applying plant nutrition data from Ecology, Philips Lighting’s Growiser Center can monitor, track, and control the environment that influence a plant’s growth, however, manipulating the environment comes at a cost, but by leveraging IoT to optimize the environment whilst balancing the cost, Philips have managed to maximize yield profit and quality for their growers like never before.
#Opportunity_Three_Business_Applications
With steady advancement in technology and investment in the lower layers of IoT, the requirement to explore business applications has become much lower. However, due to the high financial opportunities, the business application layer will continue to be very fragmented. It is up to the founders to study, explore, and consolidate the possibilities that lie within the application layer, and to build something that businesses and individuals can truly benefit from to reap the rewards.
If you are a founder working on any layers in IoT, or a founder that is interested in working with other IoT founders, we welcome you to join our network of over 1,100 founders from around Southeast Asia and Taiwan. The application to join AppWorks Accelerator will open in May, you can check out more information by following this link here: https://bit.ly/3eLDKWk
by Jack An, Analyst
big data analytics and applications 在 Garage+ Facebook 的最讚貼文
【2019 Open House】
本次 Open House 精選 28 組國內外優質新創團隊,包含自全球 31 國 228 件Startup Global Program申請入選的 15 組國際團隊及 13 組台灣團隊,領域涵蓋健康醫療 、人工智慧、大數據應用、物聯網、智能設備、綠能科技等領域;歡迎各企業事業部高階主管、企業投資部、創投先進及新創夥伴,蒞臨交流共創商機!
‼搶先看人工智慧&大數據領域新科技‼
👉 優化賽事體驗、留存終生運動回憶,蒐集與管理賽事數據,並將數據商業化 捷思科技
👉 安全商務溝通解決方案 #倢諾科技
👉 以數學與軟體技術,提供智慧移動方案 奇點無限
👉 透過直播和專業整合服務,替亞洲科技公司招募印度和南亞國家的工程師 #Uprithm
📆日期:12 月 6 日(五) 14:30-17:00
👣地點:嘉新水泥前棟大廳、後棟 9F Garage+
✅搶先預約觀展:https://twepoch.org/9_OH_23/1121
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Join us on Friday, December 6 at the Open House of Garage+ !
This year, we invite 28 thriving startups to showcase their products and technologies, including 15 international startups out of the 228 Startup Global Program(SGP) applications from 31 countries. Also participating are the 13 selected Taiwanese startups. All these startups are in Healthcare, AI/Data Analytics, IoT/ Smart Devices, Green Tech.
We welcome business partners, investors, and entrepreneurs to explore potential opportunities and resources together!
See the new technology in AI & Big data
👉 MeetAgile: Enhance sports game experiences, keep the lifetime
memories
👉 Rolo: Secure. Business. Chat.
👉 Singularity & Infinity: Solving smart mobility problems by mathematics, algorithm, and IT.
👉 Uprithm: Meet, collaborate, and win with Indian engineers
📆Date/Time : 14:30-17:00, Friday, Dec. 6th
👣Venue: No.96, Sec. 2, Zhongshan N. Rd., Taipei
✅Register: https://twepoch.org/9_OH_23/1121
#StartupGlobalProgram #AI #Bigdata