The Use Case Podcast

Leveraging AI and Machine Learning for Better Matching with Indeed Smart Sourcing - Raj Mukherjee, Indeed.com


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In this episode we talk with Raj Mukherjee Executive VP and General Manager with Indeed to learn about their recent release of Smart Sourcing which aims to streamline the sourcing process by leveraging AI and machine learning. Smart Sourcing uses a 360-degree view of job seekers, including their qualifications, preferences, resumes, and assessments, to deliver the best-matched and most active candidates to employers. We dig into the platform to understand what is different and why Recruiting leaders should consider Indeed Smart Sourcing as they begin evaluating new sourcing solutions.

Takeaways

  • Employers face challenges in sourcing and hiring candidates, including the time-consuming and manual process of searching for qualified candidates.
  • Indeed's Smart Sourcing leverages AI and machine learning to streamline the sourcing process and deliver the best-matched and most active candidates to employers.
  • Smart Sourcing takes into account a 360-degree view of job seekers, including their qualifications, preferences, resumes, and assessments.
  • Features like candidate highlights and smart messaging facilitate effective communication and connection between employers and candidates. Smart Sourcing aims to make hiring simpler, faster, and more human.
  • The platform uses a matching engine to connect job seekers with the right opportunities based on their preferences.
  • Smart Sourcing saves recruiters time by providing better matches and reducing the frustration of slow processes.
  • The platform improves the candidate experience by ensuring they are contacted for relevant job opportunities.

  • Chapters

    00:00 Introduction and Overview

    01:14 Challenges in Sourcing and Hiring

    06:45 Leveraging AI and Machine Learning for Matching

    10:14 The Importance of Job Descriptions and Profiles

    14:31 Introducing Smart Sourcing

    20:55 Moving Beyond Keyword Matching

    21:24 Occupation-based Taxonomy

    22:23 Machine Learning Algorithms

    23:26 Fast Results with Smart Sourcing

    24:44 Perishable Candidates

    25:29 Reaching Out to Candidates Quickly

    27:19 Candidates Will Move On

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