Webinar Overview

Despite the buzz, only 16% of businesses reported having fully modernised, AI-led processes, according to a 2024 report by Accenture. Many initiatives remained stuck in the pilot stage, hindered by a lack of clarity on business outcomes and fragmented data strategies 

 

In this webinar, we will focus on how organisations can move from the Proof-Of-Concept (POC) phase to Deployment faster, while ensuring you they are testing multiple scenarios and choosing that which will deliver the business the most ROI. 

 

Utilising established AI frameworks like our own increases the speed of the customer journey, ensuring faster time to value and more consistent, reliable outputs. This webinar will explore real-world use cases, demonstrate the framework’s capabilities, and discuss how it can help address common obstacles in the deployment phase. 

 

Using established AI frameworks increases the speed of the customer journey, ensuring faster time to value and more consistent, reliable outputs. Our AI framework has increased the speed we can develop POC models and scale these into production by 60% by automating the typical generic tasks. On top of this, it ensures a consistent approach to AI model development and deployment that is aligned with best practise.  

 

This webinar will address the current challenges we are encountering, discuss practical applications for an AI framework, elaborate on the functionality of the framework, and explain how it can aid in overcoming common obstacles during the deployment phase. 

 

Key Topics Covered:

 

  • Common Challenges with proving AI Value
  • Example Use Cases within Different Verticals
  • Addressing the POC to deployment challenge
    • Automated feature engineering and data preparation
    • Automated experimentation and model evaluation
    • Deployment and monitoring of machine learning models
  • Live demonstration of the framework in action
  • Q&A

 

Who Should Attend:

 

  • Technical Teams
  • Data and IT professionals
  • AI and Machine Learning enthusiasts
  • Anyone interested in leveraging machine learning for business insights

Our Presenters

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