Andrew W. MooreVice President of Engineering,

Google Cloud AI

Andrew Moore, VP Engineering

August 27, 2019

Digital Transformation

with AI

My Talk Goals

● AI is artisanal and that is dangerous

● Three approaches to de-artisanaling

● Necessary conditions for a successful AI project

● Latest news: There are AIs to help fill in for the shortage of

human AI experts

Artificial Intelligence is

Everywhere

By 2021

of new vehicles will have

autonomous capabilities.

10%of enterprise applications

will use AI.

75%The number of citizen data

scientists will have grown

5x faster than “professionals.”

5x faster

AI absorption will be the new basis of competition in the global economy

Companies that fully absorb AI into their value-producing workflows by 2025

will dominate the 2030 economy with +120% cash flow growth

These “AI front-runners” have a similar profile to Google Cloud customers:

large companies with a strong IT base, digital culture and a higher

propensity to invest in AI

Companies who absorb AI by 2030 will see a mere +10% cash flow growth

while those that don’t will see declines of 20%

AI in enterprise 2019 = Internet in enterprise 1994

AI is easy to talk about and hard to do

Use

Case

Identifying the right

business problem

to solve is difficult

People

Machine Learning

expertise is scarce

AI is more

than ML

Don’t simply model

for the sake of it.

Make decisions.

Deployment

and integration

Brittle, opinionated

infrastructure that is

hard to productionize

and breaks between

cloud and on-prem

What will drive Cloud AI growth?

Flexibility

Hybrid,

open,

scalable

01

User focus

Productive,

intuitive,

accessible

02

Innovation

Fast,

accurate,

high quality

03

Responsibility

Trusted,

secure,

transparent

04

● Are you starting your AI

strategy but don’t have

an AI Team?

Business Users

● Already have technical

talent, but looking for the

best AI toolbox?

Builders (ML Experts and

Developers)

AI Solutions AI Platform Powertools

● Strong engineers and

scientists with small

proportion AI expert

Builders (AI Newbies)

AI Platform Components

● Are you starting your AI

strategy but don’t have

an AI Team?

Business Users

● Already have technical

talent, but looking for the

best AI toolbox?

Builders (ML Experts and

Developers)

AI Solutions AI Platform Powertools

● Strong engineers and

scientists with small

proportion AI expert

Builders (AI Newbies)

AI Platform Components

AI Solutions

Cloud AI solutions make implementation

easy

+AI expertise

& products

Partner technology

& services

Ready-to-deploy AI solutions that utilize

your data and plug into

your existing technology

& workflows

=

Solving real business problems

Retail

Financial

Services

Manufacturing Healthcare &

Life Sciences

Government Media &

Entertainment

Technology

Energy Gaming

Marketing

Ready-to-deploy AI solutions plug into your existing

technology & workflows. No AI or ML expertise required.

Easily, and cost-effectively,

extract valuable insights

from your documents.

Document

Understanding AI

Efficiently provide world-class

customer support.

Contact

Center AI

Understand and optimize

Manufacturing &

Industry

Document Understanding AI

You have a goldmine of documents that is

hard, expensive or impossible to tap into.

Document Understanding AI lets you

easily and cost-effectively extract valuable

insights from your documents.

Contact Center AI

You’ve had to make a tradeoff between a great

customer support experience and operational

efficiency, until now.

Contact Center AI lets you provide world-class

customer support more efficiently.

HVAC Optimal Control Systems

Vision Product Search

Minimal

coding

Ensures

privacy &

compliance

Engage customers in new and exciting ways

● Available via Cloud Vision API

● Drive customer engagement

● Reduce friction with product search and purchase

● Empower retail sales associates

● Detect multiple products in one image

NDA

● Are you starting your AI

strategy but don’t have

an AI Team?

Business Users

● Already have technical

talent, but looking for the

best AI toolbox?

Builders (ML Experts and

Developers)

AI Solutions AI Platform Powertools

● Strong engineers and

scientists with small

proportion AI expert

Builders (AI Newbies)

AI Platform Components

Very few people can create

custom ML models today

Who can actually

use AI today?

10KDL researchers

2MML experts

+23MDevelopers

+100MBusiness users

Empowering AI experts

Significant

OpportunityVery Senior

Leader will get

regular updates

Product

Manager and

Experienced

Eng Lead

Platform

supports

prototyping

Measurable

POC

Platform

supports

procedural

transportation of

prototype

Technology

Track

Change

Management

Track

Audit of ethical,

safety, privacy

and fairness

Customer User

Journeys

Political or Rational

organizational

Change Management

Deployment

using Site

Reliability

Engineers

AcceleratorsD

eep

Learn

ing

VM

Im

ag

es

ML Inference ML Training

Edge Supercomputer

TPU Edge TPU Cloud TPU Cloud TPU Pod

GPU P4 P100T4 K80 V100

CPU Skylake

AI Platform

Build once to

deploy anywhere

Productionize AI

applications fast

Explain AI

outcomes easily

Helps move models into

production in a serveless

way, thereby allowing your

team focus on development,

not on operations

Supports Kubeflow, Google’s

open-source technology to

build portable AI applications

that can run on-premises or

on Google Cloud without

significant code changes

Provides services to validate

training data, understand

model outcomes, and

improve model accuracy

through continuous learning

Collaborate

effectively

Access the best of AI content

built with users across the

organization, as well as

Google via AI Hub

Who can use AI Platform?

Data Engineer ML Engineer Developer Data Scientist Business Analyst

Uses Kubeflow

Pipelines to

encapsulate end-to-

end workflows that

can be reused

Uses Pub/Sub,

Dataflow, and

Dataprep to ingest,

prepare and transform

data

Collaborates with data

scientists to embed AI

through REST APIs

into applications

Uses notebooks,

and publishes ML

pipelines

Discovers solutions

from AI Hub and

deploys it into

production

● Are you starting your AI

strategy but don’t have

an AI Team?

Business Users

● Already have technical

talent, but looking for the

best AI toolbox?

Builders (ML Experts and

Developers)

AI Solutions AI Platform Powertools

● Strong engineers and

scientists with small

proportion AI expert

Builders (AI Newbies)

AI Platform Components

Cloud AutoML ML that creates ML for your problem

Cloud AutoMLDataset

Train Deploy Serve

Generate predictions

with a REST API

My Talk Goals

● AI is artisanal and that is dangerous

● Three approaches to de-artisanaling

● Necessary conditions for a successful AI project

● Latest news: There are AIs to help fill in for the shortage of

human AI experts

Thank you