Skilled professionals are the backbone of any successful data, analytics and AI initiative. Organisations need to attract and retain top talent with expertise in data science, machine learning and analytics as well as professionals experienced within the business with the ‘soft skills’ to be able to translate data strategy in to accessible business language. This includes hiring data scientists, data engineers, and data analysts who can extract meaningful insights from data and develop AI models as well as Data Storytellers to amplify the value across the business. Additionally, organisations should invest in upskilling their existing workforce to become more ‘data fluent’ to be able to embed insights in to their core roles within the organisation.

With new technologies and rapidly changing landscape of Generative AI, the future of work is set to be revolutionised. What will this mean for the workforce of the future?

Key questions businesses need to ask themselves:

• What are the key skills and expertise required for our data, analytics, and AI initiatives? Identifying the specific roles and skill sets needed, such as data scientists, data engineers, or AI specialists, will help in recruiting and building a strong team.
• How can we attract and retain top data and AI talent? Understanding how to create an attractive work environment, offer competitive compensation, and provide opportunities for growth and development is essential for attracting and retaining skilled professionals.
• How will Generative AI impact my workforce? Will jobs be displaced? Will I need to retrain executives? What new job opportunities will this present?

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