AI is surrounded by hype in every business function, and talent acquisition is no exception.
Whether you’re already implementing AI solutions, or just starting to think about bringing them in, it is not always easy to identify where this new technology can move the needle the most.

For this session of “Accelerating Talent Transformation with AI”, we invited leaders from top Talent and HR organizations to explore the whole spectrum of what this technology can do for talent teams. They will share their own experiences with AI solutions, and they will also give us their assessment of where this type of technology can drive concrete goals: identifying and reaching talent in new places, converting more top candidates, and shortening hiring cycles without sacrificing quality.

In this webinar, we will cover:

• How AI can impact the talent organization and drive real results on the field
• What talent leaders who have started implementing AI solutions have learned so far
• How to share AI use cases internally to demonstrate the value of these technologies

If you can't make the live webinar, register anyway and we'll send you the slides and recording.

Don't forget to check this page again soon for information on additional guest speakers.

Sultan Saidov

President, Beamery

Sultan Murad Saidov is co-founder and President at Beamery, the leading Talent Operating System. He is heavily involved in product roadmap development, and in partnering with customers to find and apply best recruiting practices using Beamery, especially around new technologies, compliance and data management. He is a frequent speaker on all things product, recruiting, data and GDPR, and an awardee on the Forbes 30 under 30 list.

Megan Butler

PhD., Talent and HR AI expert

Megan is a PhD candidate at Leeds University Business School (LUBS) and Director of Augmented HR. She is a subject matter expert on artificial intelligence and emerging technology in HR. Focusing on the ethical use of data in HR decision-making, Megan’s goal is to help businesses understand the risks and benefits of AI so that they can develop an ethical and legal approach to data-driven decision-making.