About Paul Hewitt's speech at the Everyday AI Conference
Paul gave a conference speech on Dataiku advanced analytics solutions for business in June 2022. Watch it to explore:
- What the data journey is, its four pillars and current key issues
- Typical Dataiku analytics architecture and functional layers for analytics delivery
- Processes and operations related to the data journey: data life cycle, analytics life cycle, typical project management with the Agile / SAfE methodology
- A successful commercial delivery example
4 pillars for making the journey to advanced analytics
In his conference speech, Paul breaks down the following four pillars of the data journey:
- Consolidation and curation: leveraging technology to bring all the data to one place
- Democratization: making the data available to users in the most convenient way possible
- Data visualization and self-service analytics: providing curated data and data models via self-service visualization
- Pervasive advanced analytics: implementing enterprise analytics that can power data-driven decision-making later on
4 challenges to look out for in an advanced data analytics project
Here are the four most pertinent challenges that have to be addressed to ensure the project’s commercial success:
- Regulatory compliance as regulators are pushing for stronger customer privacy protections
- Ethical use of AI products and their capabilities
- Close cooperation between the Dataiku predictive analytics team and the IT operations
- Thorough and comprehensive testing, load running and load balancing, especially for real-time analytics solutions
