What is IIoT? 

The Industrial Internet of Things (IIoT) exists at the crossroads between the Internet of Things (IoT) and Industry 4.0.

Internet of Things

IoT is the network and system of physical devices all connected together and exchanging data. Devices include anything and everything: cellphones, vehicles, coffee makers, appliances, etc. The number of connected devices is predicted to top 30 billion by 2020, with a global market value reaching $7 trillion. Every device will collect useful data with applications across every domain – consumer, enterprise, infrastructure, transportation, medical, and others.

 

 

Industry 4.0

Industrial revolutions have been a frequent occurrence throughout history, and each one has brought massive changes and improvements. Industry 2.0 brought mass production, 3.0 brought computer systems and today, 4.0 introduces cyber-physical systems. Industry 4.0 is the smart factory, where autonomy triumphs and data is exchanged fluidly. Machines will self-optimize, self-configure and self-diagnose with no human intervention.

IIoT vs. IoT

IoT vs. IIoT

Common IIoT Challenges

Data Chaos

Systems, devices, equipment is typically not vendor neutral. Therefore, data integration = data chaos. Need one place to manage everything.

Complexity

Easy access to every data point at any time is required. Millions of devices must be retrofitted to use IIoT.    

Lack of Context

Context is required to find information that is of actual value. Need defined relationships between assets.

Manual

Data must be automated to deliver continuous and reliable real-time information. Manual analysis is time-consuming.

Extremely Slow

Work required is difficult, tedious, and overwhelming. Management requires you to do more with less, faster!

Security

Cybersecurity is the number one issue preventing IIoT adoption. Data must be secure along the entire value chain.

The IIoT needs to organize data from different types of devices and vendors that interact with each other in customer-specific ways:

The IIoT Effect

The Industrial Internet of Things is driving huge changes across all industries. Critical business decisions require data-driven insights only achievable with machine learning and advanced analytics.

Increased visibility and insight.

9

Better decisions made in less time.

Increased visibility and insight.

7

Better decisions made in less time.

%

More accurate data analysis

%

Faster decision making

%

Likelihood to integrate device data with business solutions.

Stats are compared to non-IoT users; Source: Aberdeen Group.

IIoT in the New World

Undoubtedly, data has become a fundamental commodity as valuable analytics can give insights on asset performance and operational inefficiencies. Despite the COVID-19 pandemic, data does not stop. Now more than ever, we must learn to adapt to a new normal with distributed work environments where important decisions need be made at any time and from anywhere.

Learn how ShookIOT, powered by Microsoft Azure, simplifies your IIoT strategy to help you extract more value from your IIoT data.

Worldwide……1% improvement in industrial productivity could add $10-15 trillion to worldwide GDP over the next 15 years.

General Electric

ShookIOT

ShookIOT, now a part of Uptake, elevates the value of your existing and new data by liberating, fusing, and organizing it within the right context to increase productivity and efficiency while lowering costs and operational bottlenecks.

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