first thoughts: putting artificial intelligence into the business enterprise
TRANSCRIPT
First thoughts on AI for the enterpriseJames Janega
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AI architecture: Evolving
Predictive Analysis
Fewer analysis layers
Different dominant designs for different use cases
Deeper analysis layers
Neural Networks
Dat
a M
inin
g
(Sup
ervi
sed
Lear
ning
, pr
edic
tions
on
train
-and
-test
)
“Art
ifici
al In
telli
genc
e”(A
lgor
ithm
s on
dat
a m
inin
g an
d re
al-ti
me
mac
hine
le
arni
ng)
Mac
hine
Lea
rnin
g(U
nsup
ervi
sed
Lear
ning
)
Banks
Netflix
Amazon
Next Gen Apps, experiments
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WINDOW – Which INnovation strategy DO I Want?Customer Preference/Competitive
Advantage Known
Customer Preference/Competitive Advantage Unknown
Supp
orts
/ A
utom
ates
Ex
istin
g Pr
oces
ses
Disrupts / C
hanges Existing Processes
Consider new products powered by supportive technology via lower costs, lower time-to-market
Use technology to enhance existing business practices
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A. Contract proof-of-concept apps
B. Partner with domain expert
C. Consider acquisition
Build APIs
Consider open innovation
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Considerations:
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Consider new products powered by supportive technology via lower costs, lower time-to-market
Use technology to enhance existing business practices
Contract proof-of-concepts, partner with domain expert, or consider acquisition
Build APIs, consider open innovation
Staff development, outsource/hire consultants, assess organization on SWOT, roadmap to desired future state
Consider foundational enablers: Maturity of cloud storage and data management readiness
Consider market size, value of partnering with complementary services, joint-venture and partnership diligence and governance
Develop API layer atop data, build open innovation capabilities, IP and legal considerations, compliance issues in regulated industries
Source: Slalom analysis, Gartner
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Read more:
James Janega: Innovation, Insights, and What’s Nextjamesjanega.wordpress.com