June 2018

Building a Cohesive IoT Talent Strategy

33

IoT adoption across industries is widespread with different maturity levels

Industrial

AutomotiveHealthcare

Public infrastructureHigh-Tech

Telecom

BFSI

CPGMedia & Entertainment

Transport & Hospitality

Retail

Bubble size indicates IoT spend

High

HighLow

Energy & Utility

Consumer IoT

Inte

rnal

cap

abili

ties

IoT

ass

ets

Use

cas

e m

atur

ity

IoT

Inve

stm

ents

Start-ups leverage

Tech vendor partnerships

Service provider leverage

Mergers & Acquisitions

Ecosystem Focus

Key use cases in IndustrialImplemented real time operational intelligence across inventory of 20 million elevators installed globally. Partnered with Microsoft Azure for proactive failure detection using ML and visualization techniques leading to a 50% unexpected downtime reduction

John Deere equips its machinery with sensors that alert dealers and farmers when their machines are about to fail, 2 weeks in advance, leading to a reduction in equipment downtime

Key use cases in Retail

Walmart has been able to reduce its out-of-stock inventory by up to 16% by introducing technologies such as RFID into its supply chain

Amazon leverages bots in warehouses to navigate autonomously with RFID readers, reducing merchandise picking cost by 20-40%

Key use cases in Healthcare

Smart pill bottles that use light, sound, texts and phone calls to remind people to take their medication; The solution has increased medication adherence by 20%

Leverages Microsoft Azure IOT Platform for in-house patient-monitoring that provides real-time updates for care enablement leading to reduction in patient’s hospital visits

Note : DRAUP Methodology

44

Talent shortage is one the key reasons for slow down of IoT projects

~40,000 Job openings worldwide

Average Time to Close an IoT Role – 3 Months

Note : DRAUP’s proprietary talent module was used to analyse job roles by Industry and skill type

Automotive

Industrial Engineering

Telecom

VolkswagenToyotaBosch

IntelARMSilicon Labs

HoneywellDaikinPentair

VerizonT-MobileVodafone

Top Industries Top EmployersTalent demand Key Job Profiles

~5,600

Semiconductor

IoT Talent Job openings across industries

~6,000

~3,200

~3,600

• IoT System Engineer• Sr Engineer- IoT• Software Developer – IoT and

connectivity solutions

• IoT Applications Engineer • Senior C++ IOT Engineer• Senior IoT Deep Learning

Platform Application Engineer

• Embedded IoT Engineer• IoT Backend engineer• ICT Engineer

• IoT Solution Architect • IoT Technical Solution Expert• Cloud IoT Researcher

55

Thus many organizations have failed to scale IoT projects

IoT Scalability Challenges across Enterprises

Note : DRAUP’s proprietary talent module was used to analyse job roles by Industry and skill type

IoT Scalability Challenges across Start-ups

Quantus• Quantus was a USD $22M funded start-up which

closed down its operation in 2016

• Blood pressure monitoring wrist wearable

• Failed to scale prototype; Inaccurate pulse reading

• Zeo was a USD $28M funded start-up which closeddown its operation in 2014

• Sleep monitors that record electrical activity alongthe scalp and monitor the user's brain waves.

• Failed to scale and compete against giants such asFitbit

• St. Jude Medical’s implantable cardiac devices havesecurity vulnerabilities that could allow a hacker toaccess a device.

• Once in, they could deplete the battery oradminister incorrect pacing or shocks

• PetNet manufactures automated "smart" pet feeders.

• A system failure at a third-party server providercaused a loss of scheduled feedings and remotefeedings

• Firmware update vulnerability

• Hackers exploited this gap and could hijacked thevehicle over the Sprint cellular network and could makeit speed up, slow down and even veer off the road.

• ~0.5 million Belkin WeMo home automationdevices have several security vulnerabilities such asdigital keys in the firmware update which exposed away for hackers to take control of connected lightsand appliances

• Nest has to recall 0.4 million units of connectedhome thermostat and smoke alarm units after thedevices was unable to operate alarms or locks viathe app. Due to failure of a feature called "reset bywaving at it"

“75 percent of all IoT projects are failing due to lack of experience and security” –Cisco CTO

• Security Vulnerability

• Insteon Home Automation systems had been madecrawl-able by search engines due to system notrequiring user names and passwords by default in anow-discontinued product, giving hackers the abilityto control people's homes into houses, energy-consumption devices and ever smart locks

66

Our research shows that the global IoT talent demand is over a million professionals

IOT Talent Demand (2018) IOT Titled Job roles

1.0 Million

200,000

5XRequirement gap

to be filled by skilled IOT hardware engineers, Firmware

developers, Network and infrastructure management

engineers, Big data engineers and Data science specialists

*

*Gartner, Forbes and analyst reports

Note : Job titles as mentioned by current employees on LinkedIn

77

In order to understand this Gap better, we aggregated unique IoT engineering job families

IoT

sp

ecif

ic n

eed

sR

equ

isit

e sk

ill s

ets

Design of circuit boards for sensors and devices

Development for microcontrollers and embedded chips

Programming on the IoT Gateway, Cloud and middleware to integrate all of the elements –Server-side web development for management of connected devices

Design and development of communications systems, development of GPS enabled technologies

Physical & logical threats detection, information security, & data exposure mitigation

Managing devices, and apps for version control, updates

Collection, organization, and analysis of disparate data sources

Predictive analytics and algorithms to identify data patterns from devices

Design interfaces for interaction design

Data analysis of large data sets to build insights

Embedded design for PCB, 3D design, etc.,Packaged design software such as AutoCAD

Microcontroller programming using specific languages such as C, Python, Arduino etc.

Programming languages such as Node.JS, Python, and Ruby

RF/analog and microwave engineering for comm. Systems, Development, and testing of GPS enabled hardware and software

Network Security, Vulnerability Assessment, Cryptography, Endpoint Security etc

Dynatrace, Splunk, Gomez, Coradiant, and Tealeaf, WebSphere, JBoss, Tomcat, Apache, NginX, Varnish, Endeca, Dynatrace

MongoDB, Hadoop, Spark, NoSQL

Transliteration, NLP, Computational Linguistics, Cognitive Computing, Decision Tree, Neural Network etc

HTML, JavaScript, & CSS, Mood boards, Heuristic Evaluation etc

SQL, ETL, Tableau

Hardware Design &

Development

Embedded / Firmware

Programming

Platform Development &

Integration

1

Big Data & Cloud

Engineering

Network Management

2

Cybersecurity

Data Science/

ML

UI/UX design

Analytics & BI

3

CORE SKILLS

NEW AGE SKILLS

Infrastructure Management

AUXILIARY SKILLS

Note : DRAUP’s proprietary talent module was used to analyse job roles by Industry and skill type

Off the Shelf Platforms

88

Hardware Design &

Developer

Embedded / Firmware Developer

Platform Development & Integration

Big Data & Cloud

Engineering

Data Science

UI/UX design

CORE SKILLS NEW AGE SKILLSAUXILIARY SKILLS

This analysis helped us build DRAUP Talent Optimization framework to build a cohesive IoT talent strategy

DRAUP IOT Talent Optimization Framework

Up- Skill

Off the ShelfPlatforms

Partner/Outsource

Hire/Acqui-Hire

Globalize

Note : DRAUP’s proprietary talent module was used to analyse job roles by Industry and skill type

Business Roadmap

CXO Strategic investment priority

In-house expertise

Core vs Non-missional critical capabilities

Risks & Compliances

Talent Availability

Partner Ecosystem

ORGANIZATIONAL PRIORITIES

Infrastructure Management

CyberSecurity

Network Management

Analytics & BI

Use this framework to prioritize Capabilities to be developed In-House Vs augment using External Support Ecosystem

99

We put the framework to test with one of our Automotive OEM customer to arrive at an optimal model

~300,000

~150,000

~400,000

Mechanical & Embedded skills

Security & Networkskills

Softwareskills

High Medium Low

*Gartner, Forbes and analyst reports

Note : DRAUP’s proprietary talent module was used to analyse job roles by Industry and skill type

Hardware Design &

Developer

Embedded / Firmware Developer

Platform Development & Integration

Big Data & Cloud

Engineering

Data Science

UI/UX design

CORE SKILLS NEW AGE SKILLSAUXILIARY SKILLS

Infrastructure Management

CyberSecurity

Network Management

Analytics & BI

DRAUP IOT Talent Optimization Framework

Up- Skill

Off the ShelfPlatforms

Partner/Outsource

Hire/Acqui-Hire

Globalize

• ADAS, Real time vehicle monitoring and device security were identified as top priorities

• Key skill hiring focus included Machine learning, Embedded System Engineering and User experience design

• US based platform partners for Advanced MES software, Data analytics and Additive manufacturing were identified as strategic platform partners

• Bay Area and UK are identified as hotspot for new age skills in Design and Computer Vision

• Body Engineering and Embedded powertrain design were top outsourced segments to CEE and Central Asian MSAs

Key priorities identified

1010

Enterprises can significantly upgrade core IoT talent from external learning sources in addition to re-skilling through internal training initiatives

-Enable manufacturers build intelligent LED luminaires leveraging the firm's smart lighting driver "Xitanium SR“-15+ OEMs have joined its certification program, and includes competition such as Gooee, Silvair, and Samsung Electronics

Internal Training Programme

Online Learning Resources

Peer company platforms

IBM partnered with Coursera to use Node-RED, a rapid application development environment

Bootstrapped various Sensor design and Home Automation projects

IoT Re-skilling Models

which include user experience; architecture of the edge and underlying data capture, visualization and big data; managed DevOps and security; and edge applications.

-1000+ jobs created-80+ Enterprises as hiring partners registered

IOT CertificationBoot Camp

Predix already has more than 4,000 employees who have completed GE’s Predix Developer Boot Camp

IoT Cloud CertificationService

IoT University

~3000 developers registered

IoT Nanodegree Followed by ~13,000 Intel developers

4 months long IoT programme

IoT Certification Academy

~50,000 viewership across courses

Philips OEM certification program

Source: DRAUP Methodology

Up-skill Hire Globalize OutsourceGlobalizeOutsource/

PartnerHire/

Acqui-HireOff the Shelf

Platforms

1111

Organizations are building IoT skills inhouse using experience in hardware, networking, Cybersecurity, or mobile engineering

Industries Past Role Previous Role Current Role

Network Engineer

IoT NetworkEngineer

Senior Wireless Network Architect

RF/ Network Engineer

IoT Communication Systems Engineer

Network OperationsEngineer

System Security Engineer

Lead IoT SecurityEngineer

Data Center and Cloud Security Engineer

Security Specialist

IoT Cybersecurity Engineer

Senior Cybersecurity Engineer

Design Engineer

Connected Car DevelopmentEngineer

Test Development Engineer

Electronics Engineer

ADAS Hardware Engineer

Manufacturing Engineer

Algorithm Developer

IOT EmbeddedEngineer

Embeddedsoftware engineer

Systems Engineer

IoT Firmware Engineer

System Software Engineer

Automotive

Semiconductor

Telecom

Software/Internet

Note : DRAUP’s proprietary talent module was used to analyse job roles by Industry and skill type

Hire/Acqui-HireUp-skill Hire Globalize OutsourceGlobalizeOutsource/

PartnerHire/

Acqui-HireOff the Shelf

Platforms

1212

There are a multitude of off-the-shelf solutions available mostly built on open source frameworks; Thus facilitating development teams more flexibility and effectiveness in completing their IoT projects

IoT Partnerships Vendor Ecosystem

MPU/MCU

Edge Gateway

Connectivity Network

Device Management

Integration

Development Environment

Storage/ Database

Advanced Analytics

Edge Analytics

Visualisation

Operating system

Machine Learning

Security

New Age Capabilities

Core Capabilities

Auxiliary Capabilities

Source: DRAUP Methodology

Hire/Acqui-HireUp-skill Hire Globalize OutsourceGlobalizeOutsource/

PartnerHire/

Acqui-HireOff the Shelf

Platforms

1313

CORE SKILLS AUXILIARY SKILLS NEW AGE SKILLS

Hardware Design &

Development

Embedded / Firmware

Platform Development &

IntegrationNetwork Security

Device Management

Cloud Engineering

Data Science/ ML

UI/UX design

Big Data Analytics & BI

Availability of traditional engineering roles is distributed across industries: Automotive & Semiconductor industries have high number of embedded/hardware skills; ISV/Hitech has high availability of S/W skills

Automotive

Semiconductor

Telecom

Industrial

Software/Internet

Note : DRAUP’s proprietary talent module was used to analyse jobs by Industry and skill type

Up-skill Globalize OutsourceGlobalizeOutsource/

PartnerOff the Shelf

PlatformsHire/

Acqui-Hire

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