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Successful AI Implementation Starts With People
Any successful AI venture depends on getting your team behind it. Here are five people issues to plan for to avoid AI implementation pitfalls.
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Machine Learning Applications in E-Learning: Bias, Risks and Mitigation
Machine learning algorithms are used to cater to learners and achieve better learning outcomes. But with this new technology comes a responsibility for learning leaders to actively engage in the decision-making process and safeguard the practice.
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Curated Insights: The Human Side of Extracting Business Value from Information
Addressing the missing link between content, insight and wisdom curation, and critical thinking.
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Talent10x: Tilr CEO on Building Responsible AI
Carisa Miklusak, CEO and co-founder of Tilr, explains the importance of building bias-free artificial intelligence for recruiting.
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Agile Teams Create Agile Learning Organizations
Shifting the learning strategy focus from efficiency to agility will allow organizations to adjust swiftly in an uncertain future.
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What the Future Holds for Learning and Development
Millennial L&D leaders share their perspectives.
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Will AI Help Close the Skills Gap?
Experts say the skills gap is here to stay, at least for the near future. Some employers are turning to AI to help close the gap — but where does that leave L&D?
- BUDDY PASS NOW AVAILABLE on CLO Symposium Registration, CLO Accelerator Enrollment and Membership.
- BUDDY PASS NOW AVAILABLE on CLO Symposium Registration, CLO Accelerator Enrollment and Membership.
- BUDDY PASS NOW AVAILABLE on CLO Symposium Registration, CLO Accelerator Enrollment and Membership.
- BUDDY PASS NOW AVAILABLE on CLO Symposium Registration, CLO Accelerator Enrollment and Membership.
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