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Search technologies, challenges, and dealing with large data sets - Atita Arora

About the event

Outline:

  • Atita’s journey into search
  • Search technologies, challenges, and dealing with large data sets
  • NLP, voice, and personalization in search
  • Scaling and evaluating search technologies

About the speaker:

Atita Arora is a seasoned and esteemed professional shaping the landscape of information retrieval systems. With a robust background spanning from her impactful contributions as a committer in various information retrieval and relevancy workbench projects including Apache OpenNLP and Quepid, to her insightful blogs on leveraging vectors in e-commerce search and an open source implementation called Chorus to pair with.
Her commitment to calibrating the essence of "good" in information retrieval systems through OTB metrics and user-centric approaches reflects her dedication to enhancing user experiences.
As a fervent believer in diversity and inclusion, Atita actively champions initiatives to foster inclusivity in search and data science. She's a proud Women of Search Group representative and a member of various DEI forums, striving to create a more inclusive environment in tech.
Currently immersed in groundbreaking research on evaluating RAGs, Atita continues to drive innovation and positive change in information retrieval while advocating for diversity, making her a true trailblazer in technology and inclusivity.

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Verwandte Themen

Machine Learning
Data Analytics
Data Engineering
Data Science
Open Source

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