The Role of Artificial Intelligence in Corporate Innovation

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The Role of Artificial Intelligence in Corporate Innovation

Dr. Dickson Lukose

Data Deluge

2

80%

20%

VIDEO IMAGE TEXT

VOICE

ENTERPRISE

IOT

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Data Deluge: Why?

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Convergence

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Better

Artificial Intelligence

AlgorithmsPlayers:

- Enterprise

- Citizen

Players:

- Industry

Players:

- Academic

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Artificial Intelligence

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Artificial Intelligence - the

theory and development of

computer systems able to

perform tasks normally

requiring human intelligence,

such as:

1. visual perception

2. speech recognition

3. decision-making and

4. translation between

languages.

Recent Achievements:

IBM Watson

Google’s Deep Mind: AlphaGO

Driverless Car

Autonomous Robots

(Boston Dynamics)

Google Translate

Intelligent Chat Bots

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Artificial Intelligence

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Artificial Intelligence Landscape

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Artificial Intelligence Technology Adoption

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Impacts of Artificial Intelligence & Automation

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Where machines could replace humans—and where they can’t (yet)

By Michael Chui, James Manyika, and Mehdi Miremadi

McKinsey Quarterly, 2016

Emergence of Data Science

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Data engineers build

and optimize the systems

that allow data scientists and

analysts to perform their

work.

Data Scientist is a

specialist that applies their

expertise in artificial

intelligence, statistics and

building machine learning

models to make predictions

and answer key business

questions.

Data Analysts deliver value to their

companies by taking

data, using it to answer

questions, and

communicating the

results to help make

business decisions.

Data Wrangler is a

person converting data into

a usable form so that they

can be easily used with

automated or semi-

automated tools.

Consequence

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Transformation

from Process Driven Enterprise

to Data Driven Enterprise

PROCESS-

DRIVE

ENTERPRISE

Slow Reaction to Market Dynamics Fast Reaction to Market Dynamics

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Evolution of Business Paradigm

Implication to Corporate Innovation

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As artificial intelligence

technology improves,

predictions by machines

will increasingly take the

place of predictions by

humans.

The key challenges for executives will be:

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Prescription by machines

What will be the role

of human?

1. Shifting the training of employees

from a focus on prediction-related

skills to judgment-related ones;

2. Assessing the rate and direction of

the adoption of AI technologies in

order to properly time the shifting of

workforce training (not too early, yet

not too late); and

3. Developing management processes

that build the most effective teams of

judgment-focused humans and

prediction-focused AI agents.

Dr. Dickson Lukose (PhD)

GCS Agile Pty. Ltd.

Level 10, 461 Bourke Street

Melbourne, VIC 3000

Australia

Email: dlukose@gcsagile.com.au

Phone: +61408510817