iot, robotics and smart cities platform: accelerating the ... · • iot vendors have...

IoT, Robotics and Smart Cities Platform:

Accelerating the Impactof Industrial IoT

October 2019

% of IoT projects fail

Source: Connected Futures Cisco Research: IoT Value: Challenges, Breakthroughs, and Best Practices

Accelerating the Impact of Industrial IoT

What is our objective?

Project Objective

Decrease project

failure rates

Increase adoption and

best practice



0%

5%

10%

15%

20%

25%

30%

35%

40%

% o

f ente

rprises

Use of big data from enterprise's smart devices or sensors, EU - 28

Large enterprises(Avg 18%)

SMEs(Avg 3%)

Note: Large Enterprises have > 249 employees, SMEs have <250 employees

Source: OECD, SME and Entrepreneurship Outlook 2019



Large enterprises are 6x more likely to use

big data from smart devices or sensors than

SMEs

99%

60% 50%-60%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

% of Businesses % of employment % of value added

SME economic contribution in OECD Area

LargeCorporations

SMEs

Note: Large Enterprises have > 249 employees, SMEs have <250 employees

Source: OECD, SME and Entrepreneurship Outlook 2019



Why is this important?

Integral to supply

chains

Employ the

majority of

workers globally

Key to social

mobility and

innovation

7

• Medium sized industrial companies lack access, expertise and capital to take advantage ofsmart manufacturing opportunities – accelerating the decline of SMEs and favoring largecorporations

• IoT Vendors have “information asymmetry” with expertise and incentive to hoard knowledgeand “lock-in” companies

• Industrial IoT may be good for industrial investors and IoT vendors, but the impact on theexisting manufacturing workforce is still unknown

• Many governments currently lack the expertise to effectively intervene and help SMEs,although some governments have advanced programs with knowledge to share


Collective Action problems

8


Prototype – Pilot – Scale

10 SMEs in Prototype >>> 120 SMEs in Pilot >>> 2000 Targeted for 2020 Launch

9


Project Timeline

Assumption 1: The key barrier to adoption is the lack of awareness & knowledge of SME business decision

makers.

Assumption 2: Access to financing/capital for investment is an additional barrier to adoption of Industrial IoT

technologies.

Assumption 3: Using data collected from Industrial IoT technology for advanced analytics is the most

scalable application of the technology in SME.

Assumption 4: Outside expert support is required across 4 key areas: 1) Use case awareness and business

case development, 2) System design and vendor selection, 3) Technology implementation, 4) Operating

model changes and employee training.

Assumption 5: The need for hands-on expert support is the key barrier to scaling across SMEs.

10


Prototype assumptions

11


Prototype workstreams and outputs


Prototype Community

iot, robotics and smart cities platform: accelerating the ... · • iot vendors have...

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