BJSS & Microsoft in person event
AI in business - From boardroom buy-in to real-world use cases
Event agendaMeet the team
Kerri Houseman
Head of Client Services
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Rhys Palmer
Delivery Manager
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Time: 09:30-11:30am.
Manchester: 19th March, 2025, Microsoft UA92, Talbot Road, M16 0PU.
London: 26th March, 2025, Microsoft, 2 Kingdom Street, Paddington, W2 6BD.
Join BJSS and Microsoft for an AI and data breakfast briefing to discuss the benefits and value of AI.
This event will provide insights into how businesses can leverage applications of AI to improve efficiency, reduce costs and achieve operational excellence.
The session will delve into the often-overlooked aspects of AI that organisations must consider on their AI journey, such as data management.
This event is for business leaders, managers, and professionals wanting to explore AI use cases. Attendees will have the opportunity to discuss openly their ideas and challenges for AI adoption, from a high-level overview to how AI can work at a departmental level.
This roundtable event offers an opportunity to gain insights from industry experts and peers, share your experiences, and learn from others facing similar challenges.
By the end of the session, you will have a clear understanding of how use cases demonstrate the value of AI adoption. You will also be equipped with the knowledge to enable your AI project and reap the benefits of this transformational technology.
The key points for discussion will be:
- Understanding AI: Many clients face pressure from their boards to implement AI solutions but do not understand AI well enough. We will explore the basics of AI, its current capabilities, and how it works to provide foundational knowledge for those just starting their AI journey.
- Engagement preferences: We will discuss how to engage your business in a way that empowers you and encourages active participation, ensuring all stakeholders, from the board to the technical teams involved with implementing AI processes, are considered.
- Identifying suitable use cases: We will examine how to identify appropriate use cases and explore alternative solutions such as change process design, UX improvements, and traditional software engineering when AI is not the best fit.
- Varied maturity levels: Every organisation is varied in their AI maturity levels. We will share strategies for addressing the needs of both beginners and advanced users, including those with clear objectives and outcomes in mind.
- Capacity constraints: Many organisations face capacity constraints, such as insufficient staffing or limited access to skilled data scientists. We will discuss practical solutions to overcome these challenges and build the necessary capacity to support AI initiatives.
Meet the speakers
Head of
Data & AI
Over the last three years, Simon has supported the Data & AI team’s rapid growth, and has overseen a wide range of data transformation projects across all industries.