How to prepare your Data to implement AI
A structured approach that ensures quality, relevance, and scalability of data to support AI models.
Implementations of AI models have demonstrated that when poor, inconsistent data is used as input, the output quality of the models is low, which possibly even undermines the success of AI products.
So how do you prepare for a successful AI implementation?
Join, Arun Sahu, Global CTO for Data and AI at Sogeti, as he proposes an approach developed from experience, that is practical and pragmatic. The approach brings together people, processes and tools to treat data as an asset and prepare it for AI implementation.
In this session, you’ll learn:
1) Understand the importance of preparing data for AI Implementation
2) Understand how to create a tailored approach for your company to prepare data assets, that will enable its AI ambitions, by:
- showing you a path to identifying business problems that may be solved with AI
- proposing an approach to identify Business Value and develop the business case to support AI
- suggesting how to mobilise the organisation and teams to identify and assess data for AI projects
- helping you understand the data preparation process for AI Implementation, to guide you when you are applying it within your own business context
Audience
Business and IT people who are curious about how to prepare data for AI Projects and are looking for a pragmatic approach to achieve the promise of business value with AI.
This masterclass is part of our ‘Technical Deep Dive Masterclass’ series delivered by our member organisations on a monthly basis. If you or your organisation would like to run your own masterclass for the benefit of our community, please get in touch.
