Admittedly, the move from the Third Industrial Revolution to Industry 4.0 will not be easy. While enterprises are eager to adopt advanced digital technologies (Industrial IoT, predictive analytics, AI/ML, immersive tech, and the like), a number of roadblocks remain. Nearly 70% of projects are stuck in pilot purgatory, unable to scale beyond the initial proof of concept. Less than a third of manufacturing companies are deploying Industry 4.0 solutions at scale.

Traditionally, performance monitoring has been at the hardware level and involved collecting and monitoring data from the infrastructure. However, this approach fails to provide insight into the end-user’s experience and has minimal business relevance. Though, with modern digital experience monitoring (DEM) and application performance monitoring (APM) tools, enterprises are able to collect information that helps ascertain a business’ overall health, not just that of the IT layer.

Hyperautomation is the result of combining process automation with Industry 4.0 technologies. Hyperautomation augments various components of process automation with advanced technologies like robotics, machine learning, and artificial intelligence to automate processes in ways that are more effective and far exceed the capabilities of traditional process automation

The 3+1 offerings can be viewed as a collection of key business and technology transformation imperatives.
The primary domains, Supply Chain Management, Sustainability Modeling, and Customer Channel Management : all three of these can be looked upon as powerful catalysts for organization-wide change.

Diversity, Equity and Inclusion

  • Achieve DEI goals of Diversity, Equity and Inclusion across employee and supplier value chain.
  • Create a DEI strategy for employers to develop best practices and track their progress.
  • Monitor DEI sustainability.

Circularity

  • Develop roadmaps to transform material value chain, advance circular models and minimize waste.
  • Optimize resource utilization in automotive battery circularity.
  • Simulate social risk and strategize to achieve social sustainability in the battery supply chain.

Decarbonization

  • Strategize pathways for Net Zero with our GHG protocol-led Scope 1, 2, 3 CO2e emission inventory tool.
  • Measure current carbon emission and simulate a low carbon roadmap.
  • Make smarter carbon investment decisions.

Green IT and Data

  • Address Climate crisis to meet ESG goals of Green IT and Data.
  • Mitigate economic risk to be LEED certified.
  • Manage Data as the new asset for ESG.

Green Infrastructure

  • Address ecological crisis to meet ESG goals of Green building.
  • Manage financial risk in transitioning to green infrastructure.
  • Strategize to adhere to LEED certification.

Green Sourcing

  • Develop framework and templates in AI/ML platform to meet green sourcing.
  • Assess the opportunities in green sourcing.
  • Devise Sustainability communication to build an ecosystem for green sourcing.

Green Supply Chain and Manufacturing

  • Optimize container features to minimize GHG emission in logistics.
  • Achieve end-to-end visibility assessment to meet sustainability targets.
  • AI-led supply chain simulation.

Benchmarking

  • Defines capabilities with data-driven, AI -led Peer Benchmarking.
  • Transform business while managing financial risk and opportunities.
  • Develop persona-based KPIs and a roadmap to achieve ESG goals.

Materiality and Maturity Assessment

  • Layer your organization’s capability maturity to every material topic supported with algorithmic integrated scores, attributes, ranking and heatmap.
  • Choose from preloaded global frameworks.
  • Collaborate with a spectrum of stakeholders to iterate and finalize.