Responsible Operations: Data Science, Machine Learning, and AI in Libraries

Responsible Operations is intended to help chart library community engagement with data science, machine learning, and artificial intelligence (AI) and was developed in partnership with an advisory group and a landscape group comprised of more than 70 librarians and professionals from universities, libraries, museums, archives, and other organizations.

This research agenda presents an interdependent set of technical, organizational, and social challenges to be addressed en route to library operationalization of data science, machine learning, and AI.

Challenges are organized across seven areas of investigation:

  1. Committing to Responsible Operations
  2. Description and Discovery
  3. Shared Methods and Data
  4. Machine-Actionable Collections
  5. Workforce Development
  6. Data Science Services
  7. Sustaining Interprofessional and Interdisciplinary Collaboration

Organizations can use Responsible Operations to make a case for addressing challenges, and the recommendations provide an excellent starting place for discussion and action.

https://www.oclc.org/research/publications/2019/oclcresearch-responsible-operations-data-science-machine-learning-ai.html
by Thomas Padilla

Padilla, Thomas. 2019. Responsible Operations: Data Science, Machine Learning, and AI in Libraries. Dublin, OH: OCLC Research. https://doi.org/10.25333/xk7z-9g97.

Author: Abhishek Srivastava

Solutions-focused, Innovative, and accomplished Enterprise architecture expert with more than 2 decades of technical management achievements with F500 companies (AmEx, American Airlines, Western Union), Abhishek Srivastava continues to deliver exceptional enterprise architecture buildout, revamp, and modernization efforts as Director/VP of Enterprise Architecture. As a technology leader, Abhishek works for Deloitte, where he excels in building and overseeing high performing consulting teams in Strategy and Analytics biz area in delivering large, high-availability systems. He also forges lasting relationships, driving stakeholder engagement and project alignment. As an out-of-the-box thinker, he provides unique solutions and uses state-of-the-art technologies – including AI, ML, cloud, and data solutions – to exceed all expectations. Supporting these achievements are his exemplary educational qualifications. These include an MBA from The University of Texas at Austin, an Engineering degree from IIT, PMP certification, and attainment of 3X AWS Certifications (Solutions Architect, Machine Learning, and Cloud Practitioner). Abhishek blogs about Data, Cloud and Enterprise architecture at http://www.abhisrivastava.com. He can be reached at asrivastava3@gmail.com and https://www.linkedin.com/in/abhisheksrivastava10/

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