AI Lab

AI Enabled Transformation

AI is a powerful productivity multiplier, automating tasks, providing insights, and enhancing decision-making. It attracts digitally native, naturally curious talent, driving innovation and continuous improvement.

Grayce’s AI Lab is our learning environment and training focused on driving business value from AI by upskilling Analysts in the fundamentals. The AI Lab is embedded in all Grayce Development Pathways, and we are committed to training all Analysts on the development programme, covering generative AI, automation, data science, and governance & ethics.

Why AI and why now?

We know that many of our clients will adopt or optimise AI this year and we are ensuring our Analysts are ready to work on these programmes.

+80% of enterprises will use Generative AI by the end of 2025 [Gartner]
Grayce Analysts are already working on AI projects across industries
Over 2 in 3 organisations reported that their organisations are regularly using Generative AI [McKinsey]

Did you know that 39% of C-Suite in the FTSE350 say that that capitalising on AI is high on their transformation agenda? Find our more in our report on the most talked about change and transformation trend of 2024.

Discover More

How do we develop AI capability?

Our AI training takes a blended approach:

Immersive training course for every Analyst

Additional content incorporated into all our pathways

Regular events hosted by industry thought leaders to inspire on the art of the possible

What topics are covered in the AI Lab?

Grayce is developing capability across both Business and Digital solutions and equipping Analysts with the skills, knowledge, tools, and techniques to optimise AI.

Four key areas of training

On completion of the AI Fundamentals training in the following areas, Analysts will:

Generative AI

Be able to identify high-value business areas benefitting from Generative AI
Be well-versed in best practice uses of Generative AI
Have practical experience of key platforms like MS Copilot
Be confident prompt engineers
Understand concepts underpinning large language models

Automation

Be able to identify high-value business areas benefitting from Automation
Have knowledge of the most popular Automation and RPA platforms
Have practical experience in different types of Automation
Have practical experience of Testing Automation
Have knowledge of common CI

Data Science

Be able to identify high-value business areas benefitting from Data Science
Have knowledge of common types of Data Analysis
Have knowledge of Machine Learning and natural language processing
Be introduced to popular Data Science platforms
Understand the drawbacks of Machine Learning

Governance and Ethics

Be fluent in the ethical use of AI
Be able to talk to the processes and policies to support AI
Be introduced to popular tools like Collibra
Have an understanding of the DAMA Framework
Understand GDPR-compliant AI use

Wand to know more?

Get in touch to see how Grayce Analysts could support your AI delivery.

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