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When Explainable AI Meets Enterprise Search

PHOTO:
lzf
Linda C. Smith, then a doctoral student at Syracuse University s School of Information Studies, published a landmark paper in 1976 on the role of AI in information retrieval. Forty years later, her thesis came to fruition.
Over the last few years, software vendors have positioned AI as the solution to every known enterprise search problems. Yet surveys carried out from 2016 to 2020 (and indeed way back to 2007) all indicate that search is not in any way a solved problem and indeed, only in a minority of cases is search regarded as very satisfactory. Why are companies prepared to accept anything less? ....

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Managing Black Box Enterprise Search

PHOTO:
Serge Aubert
We all like receiving a personalized service, whether it is being recognized by the Maitre dâ at our favorite restaurant or having a range of books offered to us by Amazon when we are looking for a specific title. Sometimes we may wonder just how these personalization algorithms work. I was just looking for a book on Notre Dame Cathedral in Paris and among the books I was offered was one on the history of Britain from 1945-1951 and one on the history of the Habsburg family.
The majority of enterprise search vendors seem inordinately proud of their personalization engines, which toil away out of sight. These systems typically commit to delivering accurate and personalized results at the top of page one. What more could you want? ....

France General , United Kingdom , Serge Aubert , Ai Ethics Lab , See The United Kingdom Institute For Ethical , Law Forum , Notre Dame Cathedral , Reading Between , What Is Explainable , United Kingdom Institute , Machine Learning , Into Focus , Data Science , Clearbox Consulting , Information Management , Martin White , Knowledge And Findability , Digital Workplace , பிரான்ஸ் ஜநரல் , ஒன்றுபட்டது கிஂக்டம் , செர்ஜ் ஆபேர்ட் , ஐ நெறிமுறைகள் ஆய்வகம் , பார்க்க தி ஒன்றுபட்டது கிஂக்டம் நிறுவனம் க்கு நெறிமுறை , சட்டம் மன்றம் , நோட்ரே டேம் கதீட்ரல் , ரீடிஂக் இடையில் ,