Ep 532: Data Driven Talent Acquisition
Employers have never had so much data to inform, innovate and optimize their talent strategies. However, understanding and extracting value from this data is something many organizations are still struggling with.\n\nSo how should employers be thinking about data, implementing data-driven talent strategies, and planning for a future of data-based decision-making?\n\nMy guest this week is Grant Telfer, Business Development Director at Textkernel. Textkernel has long specialized in bringing machine learning, AI, and data-driven intelligence to talent acquisition, and Grant has some great advice, use cases, and future insights to share.\n\nIn the interview, we discuss:\n\nThe current state of talent markets\n\nMagnified skill shortages\n\nExtracting value from data\n\nWhat are the most important data sets employers have access to\n\nSkills taxonomies and internal mobility\n\nUpskilling and succession planning\n\nData & APIs\n\nThe dangers of not using data to its full potential\n\nThe role of AI\n\nExample use cases and outcomes\n\nWhat does the future look like, and how should we plan for it\n\n\nThis episode is supported by Textkernel:\n\nTextkernel is a global leader in AI-powered recruitment solutions, delivering multilingual parsing, semantic search and match, and labor market intelligence solutions to over 2,500 corporate and staffing organizations worldwide. Our innovative technologies help companies better connect people and jobs.\n\nSee how you can connect people and jobs better, request a demo:\xa0https://hubs.ly/Q01VLGr40\xa0\nVisit our website to learn more about our solutions:\xa0https://hubs.ly/Q01VLFnW0\n\nListen to this podcast in Apple Podcasts.