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
