Abstract:Why is it so important to have a strong AI strategy?Most AI initiatives fail, mainly because there is no strategy, no vision and no framework to
Why is it so important to have a strong AI strategy?
Most AI initiatives fail, mainly because there is no strategy, no vision and no framework to support the projects.
L’Oréal Canada has faced several challenges while implementing Data Science and AI practice. The goal of this session is to share L’Oréal Canada experience in the field and how as an organization we think any company should implement data science and AI.
Some of the aspects covered during the session:
•Assessing level of maturity in data valuation and understanding the weaknesses of the organization
•Identify projects with high value, done at L’Oréal Canada
•How to effectively scope a project and avoid POCs?
•How to build a ML team with the shortage of resources in the market?
•In our opinion what are the key points in implementing a data science practice?
This session will be co-presented with the director Data & CRM at L’Oréal Canada and the Partner of Rocket Science Development.
Takeaways for the audience:
A reusable framework in pdf format Use cases idea to drive your AI practice Real examples of projects in Retail and E-commerce Tips and advice based on field experience
What You’ll Learn:
How to assess your current data capacities and maturity (people, technology and processes) and build a viable roadmap for data science in your company.
Senior Global CRM and Customer Experience Strategist with 20 years of success in deploying Data Science, Consumer Centricity and Omni Channel marketing within various local and international organizations.
As CRM & Data Science Director at L’Oréal Canada since 2020, Ludovic leads a team that is solely focused on building better and profitable consumer experiences by bridging data capacities with digital and marketing platforms.
Mohamed Sabri is a results-driven data science and MLOps specialist with 8 years of experience in Machine learning and deep learning, systems design concepts, understanding data architecture concepts, data modeling, project design and project implementation. This Trilingual consultant has a very wide range of project experience for various industries. Mohamed Sabri has been as well a director of data science and AI in a startup in Montréal, with his experience on the field and as a manager Mohamed is capable of supporting all organizations in their AI project implementation. Mohamed is also the author of the book “Data Scientist Pocket Guide” available on Amazon.
(Thursday) 4:55 PM - 5:40 PM