Leveraging Conversational & Generative AI in Modern Recruitment

Virtual Event


Explore how Conversational and Generative AI can transform talent acquisition, enhancing candidate experience and streamlining recruitment processes.

In an era where efficiency, personalisation, and real-time responses are becoming the norm, it’s essential for talent acquisition leaders to embrace technological advancements. This masterclass is designed to unravel the potential of Conversational and Generative AI in modern recruitment strategies. We’ll dive into how these innovative AI tools can revolutionise talent acquisition – from streamlining the candidate screening process to facilitating more engaging candidate interactions and driving data-driven decision-making. Participants will have the opportunity to learn about the benefits and practical applications of AI in recruitment, as well as the challenges and ethical considerations. Whether you’re just starting on your AI journey or seeking to optimise your current AI-powered recruitment strategy, this roundtable will provide you with key insights and the chance to learn from your peers in the industry.


About Martyn Redstone

With over 20 years of experience across engineering (4 years), recruitment (14 years) and chatbots and conversational AI (4 years), Martyn Redstone thinks of himself as a ‘recruitment engineer’ – able to help solve blockers in the recruitment process using technology. He is fascinated with the world of chatbots and conversational AI and how this is a game-changer for recruiters that implement conversational automation. Through his consultancy, pplbots, he works with agency, in-house and RPO teams to discover conversations that are ripe for automation, measure the value impact and design and execute chatbot strategies. He also gets to play with some very cool tech at the same time!



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Premium Members

This event is restricted to Premium Members only.

Local Time

  • Timezone: America/New_York
  • Date: 28 Jun 2023
  • Time: 9:00 am - 10:00 am


28 Jun 2023

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