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A new approach to harnessing manufacturing data

From the factory floor to the data center and the cloud

Exponential data growth is straining manufacturing IT. But those who can evolve their IT and embrace the influx can win big.

In 2017, manufacturers stored more data than any other sector

Discrete
manufacturing

0

petabytes

Process
manufacturing

0

petabytes

Manufacturing

0

petabytes

Government

0

petabytes

Retail

0

petabytes

Where’s it all coming from?

Increasingly connected factory floors

IT/OT convergence

Estimated 20 billion connected sensors and endpoints by 2020

6 requirements to evolve manufacturing IT

Fully connect the plant floor, control room, and board room.

Distribute compute power at the edge, fog, cloud, and data center to enable real-time insights and control.

Integrate data, apps, virtualization, and platforms; tear down silos.

Automatically identify anomalies and inconsistencies in data flow.

Prioritize traffic to provide data only to those who need it.

Deploy network-integrated, context-aware, intelligent security.

See the difference connected manufacturing can make

Data center

Old model

Traditional, non-virtualized environments require manual processes and limit scalability.

View new model
New model

Software-defined, hyperconverged systems deliver a simplified, adaptive solution with accelerated performance, independent scaling, and support for multiple hypervisors.

View old model

Factory floor (OT)

Old model

Traditional proprietary protocols limit visibility and connectivity, slowing operations and creating blind spots in manufacturing activity.

View new model
New model

Standardized Industrial Ethernet (wired and wireless) drives interoperability and increases visibility.

View old model

Network (IT)

Old model

Manual processes and rigid architecture makes it difficult to adapt to change. Isolation from the OT network lowers operational insight.

View new model
New model

The network converges with OT via IP-based standards, enabling automated, intelligent, and agile control over production.

View old model

Edge

Old model

Primarily, only networking devices are deployed at the edge, providing little compute power for analytics and less visibility.

View new model
New model

New compute and analytics solutions enable edge devices to provide real-time actionable insights and make better, faster decisions with machines doing the work.

View old model

Security

Old model

Proprietary, unconnected systems are “islands of security,” but integration can expose their security risks.

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New model

Integrated security at every layer—endpoint, network, data center—helps to prevent threats such as ransomware and identify risks.

View old model

Analytics

Old model

Team members painstakingly dig through historical data and disseminate manually.

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New model

Artificial Intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs, and perform human-like tasks.

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Board room

Old model

Lack of visibility and real-time insight keep business decision-makers disconnected from plant-floor operations.

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New model

Real-time information and deeper operational understanding help optimize costs and productivity.

View old model

Cloud

Old model

Cloud resources are segmented from the ERP system, users, and other important applications, making them difficult to effectively leverage.

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New model

Multi-cloud infrastructures support new initiatives and extend their boundaries and sphere of operations to manage infrastructure resources at any location and at any scale.

View old model