New eBook

A Leader's Guide to Generative AI Skills in the Workplace

Part 4: The five levels of skills transformation

We know success when we see it. But what we rarely see at first glance is the work that came before the success — the many steps and benchmarks that a person or organization had to finish before reaching the end result.
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Part 4: The five levels of skills transformation

Explore how elite sports strategies like those of Arsenal and the LA Lakers inspire businesses in our 4-part series on skills-based organizations.
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Part 3: Using incentives to foster employee growth

Explore how elite sports strategies like those of Arsenal and the LA Lakers inspire businesses in our 4-part series on skills-based organizations.
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Part 2: Measuring and managing skills to drive growth and learning

Explore how elite sports strategies like those of Arsenal and the LA Lakers inspire businesses in our 4-part series on skills-based organizations.
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An introduction to skills-based organizations

Explore how elite sports strategies like those of Arsenal and the LA Lakers inspire businesses in our 4-part series on skills-based organizations.
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Adhering to legislation and upskilling teams

Explore the challenges and risks of implementing generative AI in business, including bias, data privacy, and cybersecurity. Learn how companies like Google, IBM, and Cisco are navigating these issues and what it means for the future of AI in the workplace.
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Top use-cases data scientists can use LLM for?

Large Language Models (LLMs) are incredibly versatile tools that can help data scientists across a broad spectrum of their work, from enhancing productivity and improving model performance to opening up new use cases.
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How can businesses use generative AI responsibly?

Explore the challenges and risks of implementing generative AI in business, including bias, data privacy, and cybersecurity. Learn how companies like Google, IBM, and Cisco are navigating these issues and what it means for the future of AI in the workplace.
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What are the key business challenges for using generative AI?

Explore the challenges and risks of implementing generative AI in business, including bias, data privacy, and cybersecurity. Learn how companies like Google, IBM, and Cisco are navigating these issues and what it means for the future of AI in the workplace.
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Booz Allen Hamilton Collaborates With Workera to Bolster Industry Leading AI Workforce

Relationship will provide Booz Allen employees with continuous AI skill development pathways to further empower government and commercial clients with secure and responsible AI  
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