annescherer.me valuation and analysis

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Title home
Description ANNE Search this site Skip to navigation home Short Profile Experience Education Awards & Funding Publications home Short Profile Experience Education Awards &
Keywords N/A
Server Information
WebSite annescherer faviconannescherer.me
Host IP 3.33.152.147
Location United States
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annescherer.me Valuation
US$1,365
Last updated: 2023-05-20 09:24:40

annescherer.me has Semrush global rank of 0. annescherer.me has an estimated worth of US$ 1,365, based on its estimated Ads revenue. annescherer.me receives approximately 157 unique visitors each day. Its web server is located in United States, with IP address 3.33.152.147. According to SiteAdvisor, annescherer.me is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$1,365
Daily Ads Revenue US$1
Monthly Ads Revenue US$37
Yearly Ads Revenue US$453
Daily Unique Visitors 10
Note: All traffic and earnings values are estimates.
DNS Records
Host Type TTL Data
annescherer.me. A 600 IP: 3.33.152.147
annescherer.me. A 600 IP: 15.197.142.173
annescherer.me. NS 3600 NS Record: ns52.domaincontrol.com.
annescherer.me. NS 3600 NS Record: ns51.domaincontrol.com.
annescherer.me. TXT 3600 TXT Record: google-site-verification=8-ArMiadVUUUyj2At9Vf79hFtNfecLkJQHDyzcPJVNQ
HtmlToTextCheckTime:2023-05-20 09:24:40
Search this site Skip to navigation home Short Profile Experience Education Awards & Funding Publications home Short Profile Experience Education Awards & Funding Publications More home Short Profile Experience Education Awards & Funding Publications ANNE SCHERER AREAS OF EXPERTISE Consumers & Data Data is considered the new oil of our age. It is the prime fuel for AI applications. Many consumers, however, are unaware how their data is used and which inferences can be made based on it. I examine how we can increase consumers’ algorithmic awareness and give corporations guidelines on how to communicate and design ethical data practices. Consumers & AI Consumers interact with AI on a daily basis, sometimes knowingly - as is the case with robo-advisors or chatbots - but also unknowingly - as is sometimes the case with personalization algorithms. I examine how these technologies affect consumers’ perceptions and behavior and how they should best be designed to avoid possible drawbacks or
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