Webinar: Making the Right Choice for Your Data-Decision Challenges

Webinar details

As large language models and off-the-shelf AI tools become more widely available, organisations are facing a new challenge: knowing when these tools are enough, and when a more robust machine learning or data science approach is needed.

This session will explore how to make that choice with more confidence. It will look at the strengths, trade-offs and limitations of prompting, LLM-based tools, machine learning and wider data science methods when solving real business and decision-making challenges.

Aligned to Cambridge Spark’s Level 6 AI Engineer Apprenticeship, this webinar reflects the growing need for organisations to build capability not just in using AI tools, but in designing, operationalising and deploying production-ready AI systems that are secure, explainable and commercially valuable.

Why Attend?

Attend this session to gain a more practical understanding of one of the key questions organisations are now facing in the age of AI: when is an off-the-shelf AI tool enough, and when do you need the deeper capabilities of machine learning and data science?

You’ll leave with a clearer view of how to assess different data-decision challenges, where LLMs can add value, where they fall short, and why strong ML and data science capability still matters. This session is ideal for leaders and professionals who want to make better decisions about AI use in real business contexts.

Agenda:

The changing AI toolkit: When prompting and LLM-based tools are the right fit for a business challenge
Choosing the right approach: Looking at how organisations can think about different types of data and decision-making challenges, and when different tools may be more appropriate.
Building the capability to make better decisions: Considering why deeper data, AI and engineering capability still matter as AI tools become more accessible.

This webinar is recorded using WebinarGeek.

Watch this webinar if you are:

A Business Leader trying to understand when off-the-shelf AI tools are enough and when deeper technical capability is needed.
A Data, AI or Technology Professional exploring how to choose the right approach for different business and decision-making challenges.
A Transformation Lead looking to make smarter decisions about where LLMs fit into your organisation’s AI strategy.
A Professional interested in AI capability-building who wants to better understand the role of machine learning, data science and production-ready AI systems in real-world settings.

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Resources

The Data & AI Mastery Podcast

Webinar: Science or Prompt? Making the Right Choice for Your Data-Decision Challenges

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Why Attend?

Who is speaking ?

Dr. Jeremy Bradley, Chief AI Officer, Cambridge Spark

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