Train, tune and distribute models with generative AI and machine learning capabilities
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Summary
The way we perceive and perform work has fundamentally changed. The emergence of generative AI has left an irrevocable impact on workforce trends and continues to change dynamics across the talent landscape. Learn how adopting generative AI into talent management can help you close the skills gap, create world-class employee experiences, and maximize benefits.
Key Speakers Jill Goldstein, Managing Partner, IBM Talent Transformation ConsultingJill is a 35-year seasoned HR professional having spent time as an HR practitioner before jumping over to the service provider side. As the Global Managing Partner for talent Transformation at IBM Consulting, she combines technology with creativity of people to help organizations reimagine how work gets done. She leads a global team of deep functional and technical experts (and lots of AI bots!) whose work is focused on helping clients deliver their talent agenda, accelerate their digital roadmap and establish a more modern HR function. Prior to joining IBM, Jill spent over 15 years at Accenture helping to share and grown their Talent and HR business. Jill holds an undergraduate degree from the Kelly School of Business at Indiana University and an MBA from Loyola University Chicago.https://www.linkedin.com/in/jillkgoldstein/
Jen Kirkwood, Partner - IBM Talent TransformationJen Kirkwood’s expertise of nearly 30 years in HR/Talent & Data helps in transformation for global leaders and their workforces. Her leadership, experience and education have placed her in the top rankings in the industry for HR leadership and AI/data. She leads global transformations including in Talent & Skills, HRO, People Data, AI & Automation.https://www.linkedin.com/in/jenphillipskirkwood/ Kim Morick, Associate Partner - IBM Global D&TT Leader for Talent TransformationKim is an Associate Partner in IBM’s Data & Technology Transformation practice with over 25 years of experience. She transforms people and companies through analytics and empowerment with the ethical use of data. She leads large, geographically dispersed analytic teams to develop data and analytical solutions that deliver outcomes for IBM’s clients.https://www.linkedin.com/in/kim-morick/