Surviving the Change Agents - How Business Survive the Next Evolution

Change AgentsHow Consumer Centric Technology Companies Are Changing the World and How to Survive |

@KylePLacy 10/23/17

My Career

Lessonly is used by thousands of teams

to translate important work knowledge

into lessons that accelerate productivity.

We must understand change.

Louis CK Video

Why is this happening?

Companies are struggling to

keep up with the rate of

modern change

TechnologyR

ate

of

Ch

an

ge

Time

Deloitte University Press | dupress.deloitte.com

Technology

Highest Performing Teams

and Businesses

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te o

f C

ha

ng

e

Time


Technology


and Businesses

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ha

ng

e

Time

Typical Businesses


My morning

before 8am…


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ha

ng

e

Time

Individuals

Technology


and Businesses

Typical Businesses


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te o

f C

ha

ng

e

Time


and Businesses

Typical Businesses

THE

DIVIDE

The gap between those who can find,

create, manage, process and

disseminate information and those

who are impaired in the process.

The impact of this divide is real.

“People are falling behind because

technology is advancing so fast

and our skills and organizations

aren’t keeping up.”

— Erik Brynjolfsson, MIT

Netflix vs. Blockbuster (2004 - 2010)

$6 Billion

Time

$4 Billion

$2 Billion

$0

Blockbuster Revenue

Netflix Revenue

Netflix vs. Blockbuster (2004 - 2010)

$6 Billion

Time

$4 Billion

$2 Billion

$0

Blockbuster Revenue

Netflix Revenue

Netflix is a $60 billion company.

That’s 12x Blockbuster’s peak value.

“Companies rarely die from moving too fast,

and they frequently die from moving too slowly.”

—Reed Hastings, Netflix

Industrial

Revolution1760-1840

Cotton Gin

Steam Engine

Bessemer Process

Model T

Telephone

Transistor

Industrial

Revolution1760-1840

Information

Revolution1940-1990

Computers

Radio

Television

Internet

Cotton Gin

Steam Engine

Bessemer Process

Model T

Telephone

Transistor

Industrial

Revolution1760-1840

Information

Revolution1940-1990

Consumer

Revolution2000-2016

Mobile

Social

SaaS

Cloud

Machine Learning

Computers

Radio

Television

Internet

Cotton Gin

Steam Engine

Bessemer Process

Model T

Telephone

Transistor

Industrial

Revolution1760-1840

Information

Revolution1940-1990

Consumer

Revolution2000-2016

Intelligence

Revolution2020+

Mobile

Social

SaaS

Cloud

Machine Learning

Computers

Radio

Television

Internet

Cotton Gin

Steam Engine

Bessemer Process

Model T

Telephone

Transistor

Nanotechnology

Artificial Intelligence

Virtual Reality

Deep Learning

Blockchain

SURVIVING CHANGE

We need to understand the trends to survive.

• Micro-Moments

• Data at Scale

• Assisted Intelligence

• Machine Intelligence

1. Micro-Moments

29

We are the Google Generation.

100,000,000,000Number of monthly Google searches

When you need it now

Type to search

Google Search I’m Feeling Lucky

FB Mobile = 1,100,000,000

monthly active users

1999

JUST-IN-TIME: denoting a

manufacturing system in which

materials or components are delivered

immediately before they are required in

order to minimize inventory costs.

“Amazon says it may box and ship products

it expects customers in a specific area will

want—based on previous orders and other

factors…”

@KYLEPLACY

CUSTOMER

CONSUMER

AND THE

EXPERIENCE

IS SEAMLESS

@KYLEPLACY

“…Amazon blimps would circle over cities at

45,000 feet and launch drones carrying

orders. The drones would initially fall to

earth relying largely on gravity, and their

motors would fire up for the final stretch.”

Source: http://money.cnn.com/2016/12/29/technology/amazon-aerial-warehouse/

2. Data at Scale

“We must move from numbers

keeping score to numbers that

drive better actions.”

— David Walmsley

A rorschach test…

EXAMPLE OF AN IMPACT SLIDE TEXT

Example of supporting information or sourcing information goes here

How do you feel?

EXAMPLE OF AN IMPACT SLIDE TEXT

Example of supporting information or sourcing information goes here

Now?

70% of technology

implementations fail because

of bad data.

— Forrester

There is one source of truth and

everyone is responsible for keeping it

clean.

File Management and Email Chat and Collaboration

Project & Process ManagementLearning and Development

Journey & Email Management

Data Management List Development

CRM

Business Intelligence

@KYLEPLACY

@KYLEPLACY

3. Assisted Intelligence

@KYLEPLACY

Meet Amy Ingram

“If Alexa were a human assistant,

you’d fire her, if not have her

committed.”

- Farhad Manjoo

Machine Intelligence

ASSISTED INTELLIGENCE

What needs to happen to gain true machine intelligence?

• Deep Learning

• Natural Language Processing

• Quantum Computing

Deep Learning

is a subfield of machine learning concerned

with algorithms inspired by the structure and

function of the brain called artificial neural

networks.

Location Based

Intelligence

Personalization &

Interaction Engine

Reverse Logistics

Solution

Personalization

Engine

Natural Language Processes (NLP)

is the ability of a computer program to

understand human speed as it is spoken.

Deep Learning & NLP

More data + More Intelligence = Highly

Personalized Experiences

Final Thoughts:

How do we adapt?


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Time

Individuals

Technology


and Businesses

Typical Businesses

THE

DIVIDE

The company is viewed as an agile

network, empowered by team

leaders and fueled by collaboration

and knowledge-sharing.

The creation and management of the

customer experience is the only

thing that makes you relevant.

[email protected]

@kyleplacy

Marketing

Surviving the Change Agents - How Business Survive the Next Evolution