Digital Transformation

Digital Transformation


Shifting Customer and Market Requirements

Explosive Growth of Connected Data Types

Overwhelming Data Analytics

Persistent Trustworthiness Concerns

Evolving Sensor-Driven Technology




Accelerator Program

  • IoT Challenges
  • Test Drives
  • Testbeds


  • Assessments


  • Frameworks
  • Architecture
  • Best Practices


  • Industry Councils
  • Ecosystem
  • Special Interest Groups
  • Community Forum




Product Innovation

Increased Agility

Mitigated Risk

Operational Efficiency

Reduced Cost

Increased Productivity

New Business Models

New Partnership Models

New Revenue Streams


Reimagining Business and Industry

Digital technologies are reshaping all industries and many companies are taking steps to reap the benefits of new technologies. This digital transformation will change how organizations make decisions, execute processes and differentiate products and services in the marketplace.

However, it is a complicated journey requiring companies to address many challenges before they can begin to solve the technical problems that accompany digital transformation within their enterprise. Tangible results must be achieved fast, but any innovation needs to be understood and validated before applying it to existing systems. Many organizations struggle to understand how to get started with a project plan and how new Industrial Internet of Things (IIoT) technology will cut costs and improve the safety, efficiency and productivity of operations.

The resources of the Industrial Internet Consortium – developed collaboratively over the years by industry experts from around the globe and across all industries – give organizations the guidance needed to strategically apply digital technologies and achieve digital transformation. These essential resources bridge the gap between today’s challenges and digital transformation.

Industrial Internet Consortium Resources


Today's Challenges

Falling behind the business curve

  • Shifting customer and market requirements
  • Process disruptions and downtime
  • Managing and analyzing industrial data
  • Cost justification
  • Constrained budgets
  • Sustainability of solutions
  • Attaining ROI and service profitability
  • Supply chain advancements
  • Adherence to laws and regulations

Falling behind the technology curve

  • Explosive growth of connected data types
  • Overwhelming data analytics
  • Persistent security and trustworthiness concerns
  • Evolving sensor-driven technology
  • Increasing complexity of solutions
  • Ever-evolving technology: Cloud/Edge, 5G, Cybersecurity, AI, Digital Twins, Distributed Ledger, etc.
  • IT-OT convergence
  • Interoperability and future system support
  • Hiring and affording technical expertise
  • Prioritizing innovation
  • Keeping pace with technology evolution


  • Job security and altered workforce
  • Business models
  • Obtaining executive sponsorship

Digital Transformation

Business Transformation

  • Operational efficiency
  • Increased productivity
  • New business models
  • New partnership models
  • New revenue streams
  • Reduced costs
  • Increased process efficiency and sustainability
  • Increased agility
  • Reduced downtime
  • Business-wide ROI
  • Product Innovation
  • Improved time to market
  • Executive buy-in
  • Modernized workforce

Cross-platform and cross-vendor interoperability

  • Ability to rapidly take on new partners
  • Test solutions in the field
  • Commercialization and rollout of tested solutions
  • Integrated IT and OT solutions

Improved data management

  • Agile hybrid cloud and edge-based solutions
  • Applied industrial data analytics

Secure Systems

  • Mitigated Risk
  • Trustworthy systems and environments

Interested in learning more about the Industrial Internet Consortium's resources around Digital Transformation? Stay informed by subscribing to our newsletter or emailing us.