• teknowlogy LinkedIn
  • teknowlogy Twitter
  • teknowlogy YouTube

© 2019 by Pierre Audoin Consultants (PAC) GmbH

IBM

About the company*

Under the umbrella name, “Watson IoT”, IBM provides a very broad portfolio of IoT solutions. The portfolio is structured into four main pillars: IoT platform, consulting & system integration, industry solutions and business solutions, with several underlying elements:

The Watson IoT platform is IBM’s key offering in the context of IoT. It runs on IBM’s cloud platform Bluemix (platform as a service) and manages all IoT-related data and devices. The core strength of the Watson IoT platform is based on its analytics capabilities. IBM’s key differentiator in its IoT strategy is that it can take advantage of the Watson cognitive computing (artificial intelligence) platform. The latest enhancements in this context occurred in the fields of blockchain, new cognitive APIs and edge analytics. Another differentiator setting IBM apart from other competitors in the IoT race is Weather Company, which IBM bought to feed its Watson system with real-time weather data that can be used as part of IoT solutions at a later point of time (for example for predicting energy demand, sending weather alerts through insurance companies or for correlations of weather data and consumer buying patterns in retail).

The Watson IoT Consulting Solution Practice is part of IBM’s consulting arm (GlobalBusiness Services) and provides dedicated consulting and system integration support for IoT projects. The practice includes 1,500 experts and also uses the 8 IoT centers worldwide as well as the global Watson IoT headquarters in Munich, Germany. The IoT centers will be used as a co-innovation space for IBM experts, partners and clients to develop new IoT solutions.

IoT industry solutions are available as pre-packaged IoT solutions dedicated to 6 key industries, i.e. automotive and manufacturing, electronics and retail, insurance and energy & resources. Key offerings in this area are:

IoT for Automotive is a connected car software using cognitive computing to acquire data from sensors and systems to improve the in-car experience through context based services.

  • IoT for Manufacturing is a connected plant and operations solution, which uses

  • analyticsAI and EAM (Enterprise Asset Management) capabilities to optimize

  • equipment availability, process quality and maintenance practices including the

  • following capabilities:

  • Plant Performance Analytics analyzes equipment data and allows insights

  • into factors contributing to productivity losses.

  • Prescriptive Maintenance on Cloud is a predictive maintenance solution.

  • Prescriptive Quality on Cloud helps detect and prioritize quality problems.

  • Visual Inspection for Quality uses cognitive capabilities to review and analyze parts, components and products and to identify defects by matchingpatterns with images of defects that have been previously analyzed and​ IoT business solutions are IoT-related applications, which are an add-on to the core IoTportfolio of IBM. Software applications like Maximo and Tririga are IoT-related and support connected operations and connected products.

* Please note that this content is based on teknowlogy/PAC research.

Platform

Peer Groups

  • Large enterprise IoT platform vendors

  • Device development-focused platforms 

Vendor

  • IBM

Product

  • IBM

User Review Matrixes

The Results

Executive Summary