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
