David Wilkins from Talent Neuron breaks down how big data, AI, and machine learning are transforming talent intelligence and workforce planning. Talent Neuron’s platform offers insights on talent demand, supply, and cost to help CHROs and heads of TA make strategic decisions. With a focus on data quality and actionable insights, Talent Neuron supports companies in navigating evolving talent and skills needs, from skills analysis to competitor benchmarking.
In this episode, we look at Talent Neuron, big data, AI, machine learning, talent demand, talent supply, and strategic workforce planning. Discover how Talent Neuron’s data-driven approach empowers organizations to make informed talent decisions and stay ahead in a competitive landscape.
Key Takeaways:
- Talent Neuron leverages big data, AI, and machine learning to provide actionable insights on talent demand, supply, and cost.
- Their platform is essential for strategic workforce planning, helping CHROs and heads of TA navigate evolving talent and skills needs.
- Talent Neuron's data integrates with ATS and CRM systems, expanding its reach and utility.
- Data quality and transparency are crucial when selecting talent intelligence solutions.
- The evolution of Talent Neuron includes modular solutions and scenario-driven planning for more accessible data utilization.
- Future developments include a generative AI chatbot and expanded capabilities for talent intelligence.
Chapters
00:00 Introduction and Setting the Stage
02:02 Combining Product and Marketing
05:35 Understanding Talent Neuron and its Purpose
08:13 Target Audience and Trigger Points
12:31 Integration and Workflow
15:06 Expanding the Target Audience
16:04 Success Stories and Lessons Learned
17:44 Challenges and Future Opportunities
19:16 The Changing Talent Landscape
23:32 Talent Analysis and Solutions
29:11 Making Data Actionable and Intelligent
32:58 Key Considerations in Buying Talent Intelligence Solutions
39:01 Future Plans: Actionable Insights and Scenario-Driven Planning
Connect with David Wilkins here: https://www.linkedin.com/in/dwilkinsnh/
William Tincup LinkedIn: https://www.linkedin.com/in/tincup/
Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/
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