Abstract: 

Data is the new IP - AI can’t exist without a strong data acquisition and curation strategy. Planning the data pipeline, governance, and for growth and updating models regularly needs to be part of the AI strategy from the outset. This session will cover:

· Defining AI governance: What this means and how definitions of subjects like ethics and effectiveness can differ between organizations.

· Data governance: Companies must rely on an AI governance program to ensure only high-quality, unbiased and consistent data are used in training.

· AI is a growing necessity for enterprises / businesses; it provides an avenue for scaling quickly and efficiently.

· Best practices / implementation: how to implement AI that meets the requirements of the organization's defined sets of governances.

· Planning the data pipeline and growing/updating the models: AI is not static in the real world; models must be frequently updated to maintain relevance and accuracy.

3 key takeaways or attendee benefits of the session.

1. Understand how to assess your organization's need for AI; how to identify the opportune areas for transforming processes, interactions, scaling, cost.

2. How to start the implementation process. Defining data and AI governance and how to build the training data pipeline within that framework.

3. Best practices for maintaining AI; how to use data to evaluate models and continuously iterate on them to reflect the real world.

Bio: 

Kirsten has been with Appen for over five years and has seen countless ways in which people succeed - and fail - when implementing AI in their business processes or products. As a Product Manager, she primarily focuses on the Quality and Experience functions of the platform, including new features to drive quality results with ease as well as usability enhancements for enterprise-grade users. She works with Machine Learning Scientists on AI products both internally and as external customer offerings, giving her a deep understanding of the benefits of incorporating AI for numerous use cases.