The Internet of Things

#DigiCatYorks – June 2016

Caroline GorskiHead of IoT

@carolinegorski

There are almost as many definitions of the Internet of Things as analysts

Source: Machina Research, 2015

• Focuses on the range and reach of the connectedness that IoT delivers

• Is specifically concerned with on and off-net traffic flows and how they are managed across multiple network types

• Often takes an approach of improving efficiency of existing processes

• Tends towards industrial process-led solutions

• Focuses on the types and capabilities of the devices embedded in the IoT network

• Is specifically concerned with the adaptive, responsive and predictive nature of sensor-based devices

• Often takes an approach of applying new data-led or technical capabilities to change existing processes

• Tends towards technology prompted solutions

• Focuses on the nature and characteristics of the experience of users of IoT services

• Is specifically concerned with the development of machine or network-initiated services vs human-initiated services

• Often takes the approach of developing data-driven learned or adaptive responses (“intelligent machine”)

• Tends towards systematic, data driven solutions

Source: Gartner, 2015 Source: Alcatel Lucent, 2015

Network-led, Machina Research Device-led, Gartner User Experience-led, Alcatel Lucent

What do we know (or think we know)?• The UK has a leadership position in IoT research(135 specific projects, £122m in funding, 89% UK-funded)

• Focus areas for public funding spend are cyber-security, healthcare, privacy and trust, transport

(although most private-sector activity by scale is in smart-home)

• VC/private investor spend (£42m+ 2015) is mostly in software apps layer, in smart-home and smart-buildings

(healthcare and security are called out as “hot” next markets)

• Trickle-down from research spend or VC funding is not at optimum(SMEs, especially outside London, struggle to participate in the global IoT market even with UK leadership in research)

KNOWLEDGE INTEROPERABILITY INFRASTRUCTURE/PLATFORMS TECHNICAL SKILL/ TECHNOLOGY CAPITAL

CUSTOMERS

What are the blockers for SMEs in IoT?

It’s a complex and confusing market,

with very little benchmark data or authoritative

market evaluation

Standards are unproven, or still

being formulated.

Working across ecosystems is challenging

Costs of entry are too high:

regionally, infrastructure

provision is inconsistent

Demonstrating technical

competency at scale is challenging

(to commercial prototype)

Outside of London, Cambridge and Glasgow, little private sector

funding is available

High-potential but risk-averse markets like healthcare have lengthy

and unhelpful buying practices

Lack of commercial risk models hampers the development of cross-sector

ecosystems to help leverage scale

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