Digital Solution Practices

Converge Edge Solution Practice addresses digital limitations in infrastructure either due to complexity, interoperability or visibility into the environment.

  1. Cloud & Gateway Systems - a variety of services, platforms or technologies offered by emerging edge compute providers, CSP or telco vendors enabling cloud-to-edge or edge-to-cloud capabilities. These modernizing capabilities can span security, systems management, analytics, data management, application management just to name a few.
  2. Workload Consolidation – addressing both infrastructure and operational complexity, solutions based on virtualization technologies enable end-users or MB to consolidate functions or services including single-function devices, legacy devices, HMIs, analytics services, etc. Cost savings through a reduction of managed devices, remote management facilitation and reduced manpower.
  3. SW-defined Systems – supporting a wide variety of use cases enabling greater interoperability and visibility through SW-means, solutions here include microservices, containers, virtualization, orchestration and common open-source solutions. Target applications include cybersecurity, application and system management, cloud services and analytics.

Edge Analytics Solution Practice addresses the challenges associated with visibility and data fragmentation across the Industry 4.0 value chain, including operational and information technology infrastructure, operations and customer life-cycle. 

  1. Data management - automating the capture, processing, organization and prep, communications (pipeline) of data from machines and physical assets to enable greater visibility and intelligence of edge and physical environments.
  2. Data analytics – enabling the inference and proactive analysis of machine data to enable greater intelligence and insights of edge and physical environments.
  3. Vision systems – enabling automation via SW-defined techniques to perform vision sensor-based captures or non-invasive techniques for capturing analog or physical data and turning them into insights based on models and inference-based patterns ON customers, humans, products, processes, machines for a variety of purposes.

Service Management Solution Practice focuses on operational pain points associated with vulnerability, downtime and operational complexity.

  1. Cyber-Security - moving from physical models of isolation and inflexible AAA towards IT-based SW-defined methods and novel techniques of decentralized security including blockchain; cloud-based methods, and HW-based approaches.
  2. Availability – supporting high-availability and FT techniques, middleware-based approaches, cloud-based approaches.
  3. Systems Management – SW-defined and remote capabilities to manage devices and platforms. Orchestration, Systems Management, Cloud-based Management, etc.

Smart Machine Solution Practice addresses broad pain points including infrastructure complexity, inflexible production, visibility and limitations in manufacturing customization.

  1. Machine as a Service (MaaS) - enabled through cloud-based services, managed as and sold as a service rather than a physical asset. Exposing capabilities as a set of services; acquire subscriptions and manage the engagement as outcomes.
  2. Robotics – enabled through video and machine-based analytics, providing the machine the ability to be more aware, intelligent and proactive with flexibility to customize rapid operations.
  3. 3D Printing – enabling rapid customization, meeting the changing needs of production for personalization.

Sensors and Connectivity Solution Practice enables greater interoperability and visibility into the operational and information infrastructure and operational systems.

  1. Sensor systems - provides greater visibility through instrumentation, data acquisition and communications using a variety of sensor types applicable to the target environment.
  2. Gateway systems – these systems enable interoperability and digital visibility between operational systems and information systems through various forms of translation services supporting legacy machines and services.
  3. Connectivity & integration – using alternative logical and physical connectivity options, interoperability and visibility is achieved through greater accessibility and communication pathways.

Control Edge Solution Practice focuses on the cyberphysical edge where infrastructure complexity, interoperability, vendor lock-in and safety risk represents the last mile for digital transformation.

  1. Open Control - leveraging modern approaches to open system architectures and general-purpose computing and communications and cloud technologies applied to traditional operational control systems.
  2. Functional Safety – similarly, leveraging modern hardware and software methods to enable more efficient and scalable industrial safety.