Andy Cross

COO & co-owner, Elastacloud

With host Andrew Brust

Market Strategy Advisor, Io-Tahoe

CEO, Blue Badge Insights

Making AI

Production-Ready

For external use

Speaker bios

2

Andy Cross

• Chief Operating Officer, Elastacloud

• Background as developer, consultant

• Influencer

Andrew Brust

• Covers Big Data and analytics for ZDNet

• Strategy Advisor to Io-Tahoe

• Data-focused tech career started in 1985

AI beyond the laboratory

How are AI and ML used in industry,

beyond pilots and experimental

contexts?

3

For external use

“Gee Whiz” vs. Production

4

Gee Whiz

• New features, libraries, frameworks

• Innovations, disruption, standards be damned?

Production

• Methodology

• Repeatability

• Manageability

For external use

A differentiated approach

5

Detached

Primitive tooling

Data scientist builds model,

hands it off, withdraws

Mutual lack of understanding

between data scientists and

developers

Coordinated

Working in tandem

Design and deployment

considerations balanced

Mutual empathy

For external use

Best Practices

Data Engineer:

owns cloud

account, pushes

model to

production

Data Scientist

does research

Work in tandem Like pair programming

6

For external use

Production Considerations

7

Model Management

Deployment

Retraining

Make scoring easy for

developers

Apache Spark

Notebooks

Python vs. R

Technologies

Core Platform vs.

peripheral technologies

Old role, new

responsibilities (e.g. DBA

in charge of model

management)

Approach

For external use

AI and Data

Management

Thank you

9

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