While the current economic outlook may be worrying, it doesn’t mean that companies can slow down on their AI strategies. That said, there are right ways and wrong ways for executing such strategies when the economic outlook is gloomy. Building on nearly a decade of experience working on the front lines of AI in the enterprise, this presentation illustrates three risks and three strategies for overcoming those risks when advancing an AI strategy in a bearish environment.

1. ©2022 Dataiku, Inc. dataiku.com contact@dataiku.com

2. 3 AI Mistakes to
Avoid in a Recession
24 November 2022

3. ©2022 DATAIKU, INC [ 3 ]
What is Dataiku
and who am I?
Dataiku
Dataiku is the platform for
Everyday AI, enabling business
and technical teams to work
together to produce
exceptional business results.
Kurt MUEHMEL
Everyday AI Strategic Advisor
8 years at Dataiku,
always working with our
now 500+ customers

4. ©2022 DATAIKU, INC
Let’s be honest: the current situation is worrying!
We need to avoid magical thinking, it’s time to be pragmatic.
Let’s be careful and avoid some common mistakes.
©2022 DATAIKU, INC
3 Mistakes
to Avoid
in a Recession
Don’t pursue
the wrong use
cases
01.
Don’t forget that
the value of
AI goes beyond
the use case
02.
Don’t let reality
escape you:
control your
spending
03.
[ 4 ]

5. ©2022 DATAIKU, INC
Mistake 1: Pursuing the wrong use cases
What is the problem?
You need to improve your success
ratio for a new AI initiative.
The Magical AI Success Formula
In recessionary times, it is unlikely that you will
be able to increase your resources and to be
able to do more work.
Success = Success Ratio ✕ Work
[ 5 ]

6. ©2022 DATAIKU, INC
Mistake 1: Pursuing the wrong use cases
What is the solution?
Select use cases that will
demonstrate new advances
Focus on the highest
performing model
Seek the highest-
performing infrastructure
DO NOT
Select use cases that will help other
departments control costs
Focus on the most relevant model
to the business problem
Adapt the infrastructure to the business
needs of the end beneficiaries
DO
Including a broader range of stakeholders and, most importantly
the lines of business whose process we are impacting, in every step
of the AI development process.
Democratization!
[ 6 ]

7. ©2022 DATAIKU, INC [ 7 ]
Mistake 2: Not controlling spending
What is the problem?
It is time to be realistic and pragmatic. Times
are different and it’s going to be more difficult
in the coming months and maybe years.
The spigot of “innovation funding”
will likely dry up.
We’ve discussed about getting more out
of your people, how to get more out of your
data assets?

8. ©2022 DATAIKU, INC [ 8 ]
Mistake 2: Not controlling spending
What is the solution?
Governance!
Governance is about more than just
controlling who has access to what.
You need to build process to enforce
sharing and reuse.
Strong AI Governance ensures that
you have the tools needed to reuse
and share assets, while maintaining
necessary controls

9. ©2022 DATAIKU, INC [ 9 ]
Mistake 3: Forgetting value beyond the use case
What is the problem?
Recessionary times will shift the focus
from revenue generation to cost savings.
You need to think like
a resource-constrained start-up.
Every minute counts. How can you get
your new initiative into production as
quickly as possible?

10. ©2022 DATAIKU, INC [ 10 ]
What is the solution?
Accelerate!
Every opportunity to reduce your time to market
is worth exploring. If you don’t absolutely need
to build from scratch, don’t!
Example
Became Dataiku users in the context of 2020
Initial Challenges
Quickly deliver marketing use cases
for which business expectations were high
Scaling out AI
deployment
in a traceable,
transparent, and
collaborative manner
Getting all the available
data out of silos
and into a unified,
analytics-ready
environment
Mistake 3: Forgetting value beyond the use case

11. ©2022 DATAIKU, INC [ 11 ]
Delivering accelerated AI journeys with Dataiku Solutions
Jan 2020
Dataiku
customer!
Sept 2021
Dataiku Solution
Market Basket Analysis
The example of M&M Direct, a British e-commerce company

12. ©2022 DATAIKU, INC [ 12 ]
Benefits
Eased analysis of association
rules at various granularity:
country, product, …
Business empowerment
(merchandising, e-commerce)
with analytics thanks to
pre-built web-app
Use-case robustness
AI delivery acceleration:
2 hours for end-to-end
implementation
Business
Objectives
Optimize product
assortment and
recommendation strategies
through association rules
based on co-purchasing
frequencies.
Market Basket Analysis
INPUTS
sales figures, customer
actions on the website
OUTPUTS
Recommendation score per customer
for certain products, and more...
Plug-and-Play Solution
Structured Flow
Ready-to-use Dataiku APP.
User-Friendly Dashboard
Delivering accelerated AI journeys with Dataiku Solutions
The example of M&M Direct, a British e-commerce company

13. ©2022 DATAIKU, INC [ 13 ]
Jan 2020
Dataiku
customer!
Sept 2021
Dataiku Solution
Market Basket Analysis
Nov 2021
Dataiku Solution
RFM-enriched Customer Lifetime-value
The example of M&M Direct, a British e-commerce company
What does it mean for our customers

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Benefits
Strong enhancement
to previous home-made
version thanks to clustering
approach.
Time-to-value thanks
to fully customizable
template approach.
Revised focus in
advertising spending,
customer care and more.
Business
Objectives
Leverage improved
understanding of
customer lifetime value
to optimize various
processes starting from
advertisement spending.
RFM Enriched Customer Lifetime Value
INPUTS
transactional data per purchase,
product characteristics and use
(optional)
OUTPUTS
RFM score, customer segment,
expected lifetime value, most bought
product for high CLV
Template Analytical APP
Structured Flow
Ready-to-use Dataiku APP.
User-Friendly Dashboard
The example of M&M Direct, a British e-commerce company
Delivering accelerated AI journeys with Dataiku Solutions

15. ©2022 DATAIKU, INC
In real life: M&M Direct
The case of a British e-commerce company
This solution allowed us to accelerate
topics that simply could not fit into our
busy roadmap. The implementation only
took a few hours, and we are now ready to
launch a marketing campaign powered by
this solution.
Ben POWIS
Head of Data Science at MandM Direct
©2022 DATAIKU, INC
Robustness
Business Empowerment
AI impact enhancement
Time-to-value
[ 15 ]

16. ©2022 DATAIKU, INC [ 16 ]
Let’s be honest:
the current situation
is worrying!
3 Mistakes to Avoid
in a Recession
Don’t pursue the
wrong use cases
Don’t let reality
escape you: control
your spending
Don’t forget that the
value of AI goes
beyond the use case
3 Recommendations
for Success
Democratize
your process
Govern
your process and
reuse your assets
Accelerate
your AI development
workflow

17. Thank You
©2022 Dataiku, Inc. dataiku.com contact@dataiku.com