Your AI Journey, Part 2 - Implementing and Optimising with AI & ML
20TH AUGUST 2024 AT 1PM
Join Data Technology to learn how to build on the foundations of AI and Machine Learning and use them to optimise everything from your decision-making to your daily operations.
Building on the foundations of Your AI Journey, Part 1 - Building the Foundations for AI and Machine Learning, part two in our webinar series will explore how to conceptualise and refine machine learning use cases tailored to your business needs and discover how to translate ML predictions into actionable business strategies.
We'll guide you through assessing model performance within a business context and share best practices for managing and maintaining your models over time. Whether you're just starting or looking to optimise existing models, this webinar will equip you with the knowledge to drive real value from your Machine Learning initiatives.
What To Expect From Part Two
In Your AI Journey, Part 2 - Implementing and Optimising with AI & ML, we will take you through a comprehensive exploration of the machine learning lifecycle, from idea to implementation and beyond. We’ll cover how to…
Conceptualise, Refine, and Build ML Use Cases: We’ll start the webinar by diving into the process of identifying and developing machine learning use cases that align with your business objectives.
Take Business Action Based on ML Predictions: Next, we’ll explore how to interpret ML predictions and translate them into actionable business strategies. You’ll gain insights into integrating these predictions into your decision-making processes, optimising operations, and driving growth through data-driven insights.
Assess a Model’s Performance in the Business Context: After that, we’ll examine methods for evaluating a model’s performance, not just in terms of data science metrics but in the real-world business context.
Manage and Maintain Models Over Time: Finally, we’ll turn to some future-planning steps. Once deployed, models need ongoing attention. We’ll cover the essentials of model management, including monitoring performance, updating models as business conditions change, and ensuring long-term reliability.
Webinar Details
Date: 20th August | Time: 1 pm