[電子商務] 完全被掌握的消費者 - 我的高峰會感想
Adobe高峰會的一天行程通常是上午是Keynote大頭們講趨勢、商品發表這類大綱式的內容,中午過後是各自的45分鐘的各種細部主題。
五個時段各超過10場論壇,就至少有50場左右,兩天超過100場。
主題涵括UX, Marketing, Analytics, mobile, app…有案例、系統使用的介紹、市場概況⋯等等,反正都是圍繞Adobe商品帶來的好處。
建議可以去手機app store download “Adobe Summit 2017” app,每個session都有內容簡介跟講者,至少窺看一下. 官網也有.
我因為工作職務緣故,都選跟data analysis相關的論壇。
一天下來,我最深的感想是消費者沒得逃,沒得躲。
在數位的世界裡,廠商知道你去了哪裡(實體地點),對什麼有興趣(瀏覽什麼網站或訊息),正在考慮什麼(搜尋什麼訊息或商品),拜訪什麼通路,用了什麼跟device。
然後當你再度繼續瀏覽網站、收信、社群交友...等等,無論是使用哪個device,廠商可以找到你,並且餵你想要的商品或服務,無論是廣告或是個人化的網站訊息。精準!
因為訊息是貼近消費者需求的,滿意度增加,又繼續Hook釣住了
這麼說好像很遠,但這是已經發生的事,現在進行式中
接下去的未來,是data蒐集到某種程度,去預測行為predictive behaviour modelling,下一個行為接近的消費者,就會被預測到下一步動作。
行銷的投資會轉向非花錢在媒體,花錢改花在前端的消費者資料的整合跟分類,然後用少少的媒體預算做相同的銷售回報。
現場聽到Lenovo美國的成功案例,這已成為全球行銷global marketing的重要策略。
如果市場都走向這途,這代表媒體代理商也要轉型了,不然只會看到媒體預算越來越少。
回到最開頭說的「消費者沒得躲」「資料全部看光光」「電腦系統比你個人還瞭解你」,這樣的世界,我身為一個個人覺得很可怕。
照片是我拍的一些投影片。
同時也有10000部Youtube影片,追蹤數超過2,910的網紅コバにゃんチャンネル,也在其Youtube影片中提到,...
「predictive modelling」的推薦目錄:
- 關於predictive modelling 在 大英國辦公室小職員 Facebook 的精選貼文
- 關於predictive modelling 在 DIGITIMES 名家專欄 Facebook 的最讚貼文
- 關於predictive modelling 在 Scholarship for Vietnamese students Facebook 的精選貼文
- 關於predictive modelling 在 コバにゃんチャンネル Youtube 的最佳解答
- 關於predictive modelling 在 大象中醫 Youtube 的精選貼文
- 關於predictive modelling 在 大象中醫 Youtube 的最佳解答
predictive modelling 在 DIGITIMES 名家專欄 Facebook 的最讚貼文
人工智慧是個還在高速發展的領域,今日 DIGITIMES 名家專欄林育中認為,雖然Alphabet等巨擘近年集結重兵以對,但包含基礎研發乃至各種智慧功能應用上的想像與創新仍風起雲湧,現在發展人工智慧並不嫌遲!
現在啟動人工智慧/機器學習研發不嫌遲
文/DIGITIMES顧問林育中
Alphabet(Google的母公司)於3月8日併購了預測模型和解析競賽平台(platform for predictive modelling and analytics competitions)的公司Kaggle,這是Google在從2000迄今所併購的第15家以人工智慧或機器學習為主要業務的公司。在約略同一個時段內,Facebook併購了3家、Amazon併購了6家、IBM併購了4家、Microsoft併購了5家、Apple併購了8家。
這份名單中只粗略的涵蓋了以人工智慧或機器學習為名、或者以自然語言、文本處理、圖像辨識等傳統人工智慧/機器學習研究領域的公司。如果把機器人、搜尋引擎、電子廣告、消費者行為分析、金融投資等這些以人工智慧/機器學習為工具的應用實施公司包括進來,名單會遠長於此。連比較少用併購取得外部能力的Samsung也在去年10月併購了Viv-Siri原設計團隊在被Apple併購後另組的新公司。2017年3月底發表的Galaxy S8已強力主打智慧個人助理Bixby功能,現Viv團隊已與Bixby團隊針對Bixby的未來版本展開緊密合作。
全文詳閱 http://www.digitimes.com.tw/app/col/article.asp?id=141
predictive modelling 在 Scholarship for Vietnamese students Facebook 的精選貼文
[Australia]_Please help to share and tag your friends.
DATA ANALYTICS GROUP, UNISA
University of South Australia (UniSA)
UniSA is one of Australia’s world-leaders in teaching and research, with proven high standards of academic excellence in engineering and technology. Despite being a young university under 50 years old, the University has received a range of awards for outstanding education, student and graduate satisfaction, and world-class research. UniSA is ranked 24 in the QS World’s Top 50 universities under 50 years old.
Data Analytics Group (DAG)
DAG is a fast growing research group within the Advanced Computing Research Centre. It is a strong team in data management and data analytics. The group’s research has been supported by nine Australian Research Council (ARC) discovery grants, and their research results have been published widely in top international journals and conferences.
The primary research interest of DAG is in extracting actionable information from complicated data to help with decision-making and automation. Our research topics include data mining, predictive modelling, machine learning, and bioinformatics.
We welcome strong candidates to join our group as PhD students, visiting scholars, or visiting/intern students.
Scholarship Programs and Financial Support
PhD students:
For students who have got scholarships, (e.g. Australia Awards, Endeavour, 911), DAG will provide a top up scholarship of AUD 10,000/year.
For students who are high achievers, e.g. already have a Master degree with decent publications, DAG will support them to apply for Australian government scholarships, (e.g. Endeavour, IPRS) and UniSA scholarships (e.g. UPS). Top up scholarships are also available for outstanding candidates.
Visiting Scholars
Researchers in the fields of data mining and/or bioinformatics are encouraged to apply for financial support to join DAG as visiting scholars. A visiting scholar is expected to work in one of our current projects. The successful applicant will receive a stipend of $24,000/year, return air-tickets, and health insurance.
Self-funded researchers who are interested in collaborating with us are welcome.
Visiting Students
Students who are currently doing PhD/Master in Vietnam and would like to spend 6 month to1 year as visiting students in our group are encouraged to contact us to apply for financial support. The successful applicants will receive stipends of $24,000/year, return air-tickets, and health insurance. Visiting students are expected to work under the supervision of DAG researchers, and after they have finished their visiting study at DAG, they must continue working on the same research topic during their PhD/Master study.
Self-funded students are welcome to join us. They will be co-supervised by researchers at DAG.
Mentoring Program
Mentoring program is available for students who are doing Master/Bachelor in Vietnam and would like to do research with us to get publications with the aim to apply for PhD scholarships in near future. We can help with research ideas and supervise (remotely) the students to produce joint publications. High performance students will be supported to apply for one of the above PhD scholarship programs in our group.
For students who are doing PhD in Vietnam and would like to do research in one of our research projects, we are happy to discuss with their supervisors to co-mentor the students.
Background requirements and selection criteria
A strong undergraduate and/or graduate mathematics background.
Good written and verbal communication skills in English. (equivalent to the level of IELTS 6.0 as the minimum)
A demonstrated ability to program and/or write software.
Demonstrated high level interpersonal skills that contribute to effective team work.
Knowledge in data mining / machine learning.
Knowledge in Biology is a plus but not compulsory.
————————————-
Interested candidates please send your CV and a letter addressing the selection criteria and mentioning which program you would like to apply for to:
Dr Thuc Le ([email protected]). Homepage: Click Here
Prof. Jiuyong Li ([email protected]). Homepage: Click Here
Dr. Thuc Le and Prof. Li will be in Ha Noi and HCMC from 12 Dec to 16 Dec 2016.
Source: Mrs. Trang Hoang ([email protected])
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