Alexis Fournier is the Director of AI strategy at Dataiku, an AI and machine learning company. Dataiku provides a centralized data platform that moves businesses along their data journey from analytics at scale to enterprise AI. The company has also been named a Leader in the Gartner 2020 Magic Quadrant for data science and machine learning platforms.
Before joining Dataiku, Alexis worked at SAP, a multinational software company with a revenue of 27.55 billion EUR. At Sap, he served many businesses to identify innovation opportunities using machine learning and artificial intelligence. He also worked on business development with his ability to understand and analyze business challenges in all industries. Alexis specialized in Industry 4.0, IoT, and how to apply advanced analytics in the industry.
With Masters degrees in Econometrics and Data Science, Alexis started his career as a data scientist in telecommunications. Later, he joined The Organisation for Economic Co-operation and Development (OECD).
During his time at OECD, he got hands-on experience in analytics, data management, and
econometrics working with different international organizations or governments.
Alexis also frequently writes and speaks on AI, ML, and data science-related topics.
In this episode, Alexis steps into the hotspots of topics around AI/ML, exploring the present as well as the future of these technologies.
- The process and benefits of democratizing data and AI technologies at your organisation.
- Why the focus should always be on the people instead of the product as it’s the people who build your company.
- Democratizing AI means empowering all these people to give much more room to grow. This impacts directly your business bottom line through increased productivity.
- What are the considerations that you should keep in mind for developing a resilient, responsible and future-proof technological setup?
- Why are data applications no more any particular industry-specific or process-specific? You can use data and AI technologies almost everywhere.
- On top of that, it brings home a huge amount of benefits for the businesses and organisations.
- Things you should be aware of if you are still procrastinating about implementing AI use cases in your business.
So, if you are wondering about the next steps into AI for your business, this is the episode you should not miss.
More links about the guest
LinkedIn:
Organisation:
Articles:
- https://blog.dataiku.com/the-economics-of-ai-going-from-cost-to-revenue-center
- https://www.digitalbulletin.com/thoughtleaders/technology/2020/june/dataiku-alexis-fournier/is-deep-learning-always-the-right-way-to-go/
- https://www.itproportal.com/features/the-new-decade-and-the-rise-of-automl/
Webinar:
Speaking Events: