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Service: IoT Platforms

Google: A Promising Cloud-to-Chip IoT Edge Offering

Overview:

The two big cloud giants Amazon and Microsoft have made their edge solutions generally available in June 2017 and June 2018 respectively. With the change in leadership in 2016, Google started to strengthen their Cloud Platform offerings, more mergers and acquisitions to fill the gaps and focus on attracting more of enterprise customers. Finally, in 2018, Google forayed into the edge computing realm with Cloud IoT Edge (software stack) and Edge TPU (hardware chip), which aims to integrate tightly with the Google Cloud Platform (GCP).

Table of Contents:

  • Cloud Software Platforms Rapidly Developing Edge Capabilities
  • Cloud IoT Edge & Edge TPU Extend Intelligence at Edge
  • TensorFlow Lite Enables ML inferences on Mobile & IoT Devices
  • Google’s Specialized Hardware – Edge TPU for AI at Edge
  • Edge TPU Accelerator for Low-Power IoT Solutions
  • Growing Partners across Value Chain
  • Smart Parking: Edge Enhances the UX of Smart Products
  • LG CNS: Anomaly Detection at Higher Speed & Accuracy
  • Key Takeaways

Number of Pages: 11
Author: Falguni Shah
Published Date: October 2018

FogHorn: Innovative Edge- First Platform for Industrial IoT

Overview:

Many big leading cloud and analytics companies such as Amazon, Microsoft, Google, PTC Thingworx, GE, HP Enterprise, IBM and others provide comprehensive IoT platform-based solutions. As the need for edge computing grows, these vendors have integrated ‘edge analytics’ capabilities as an extension of their cloud IoT platform.

Foghorn is a fast-growing, start-up IoT software vendor that has designed and built the platform edge-first. This report analyzes FogHorn’s specialization in high-performance intelligent IoT edge computing, with a heavy focus on industrial and commercial IoT applications.

Table of Contents:

  • Need for Shift from Cloud to Edge Computing Grows
  • Edge Computing: Essential to Drive Intelligence at Edge
  • FogHorn Differentiators: 1. Small Footprint Intelligent Edge Platform
  • FogHorn Differentiators: 2. Edge-Optimized Expression Language
  • Growing Partner Roster Across the Value Chain
  • Key Takeaways

Number of Pages: 7
Author: Falguni Shah
Published Date: September 2018

Microsoft extends Intelligence from Cloud to Edge with Microsoft Azure IoT Edge

Overview:

As Internet of Things (IoT) becomes more prevalent, a swelling pool of data gets generated at the sensor and device level. There is an increasing need for real-time collection, processing and analysis of this data at the device or gateway level i.e. closer to the edge. This is Edge Computing & Analytics, which emulates the public cloud capabilities by bringing intelligence closer to the devices but with a smaller and agile footprint.

This report analyzes Microsoft’s Azure IoT Edge implementation and real-life case studies, highlighting why it is one of the most comprehensive and intelligent IoT edge solutions in the market specially catering to enterprises and different verticals.

 

Table of Contents

  • Need for Shift from Cloud to Edge Computing Grows
  • Edge Computing: Essential to Drive Intelligence at Edge
  • Amazon and Microsoft Lead with IoT Edge Offerings
  • Azure IoT Edge: Extends Analytics and Intelligence at Edge
  • Container Based Modular Design to Drive Scale
  • Growing Partners Ecosystem Across the Value Chain
  • Azure Sphere: Security from Hardware to the Cloud
  • Sandvik Coromant: Predictive Maintenance
  • Schneider Electric: Remote and Agile Monitoring
  • Key Takeaways

Author: Falguni Shah

Number of Pages: 13

Published Date: July 2018

SAP Enters Edge Computing Segment with Leonardo IoT Edge

Overview: As Internet of Things (IoT) becomes more prevalent, a swelling pool of data gets generated at the sensor and device level. This data can be leveraged to derive actionable business insights through analytics, which until now has been processed in the cloud. However, there is an increasing need for real-time collection, processing and analysis of this data at the device or gateway level i.e. closer to the edge, for real-time quick actions. This is Edge Computing & Analytics, which emulates the public cloud capabilities by bringing intelligence closer to the devices but with a smaller and agile footprint. 

SAP has launched SAP Leonardo digital innovation system – which runs on the SAP Cloud Platform and supports Machine Learning, Internet of Things (IoT), Big Data, Analytics and Blockchain.

Table of Contents

  • Cloud Software Platforms Rapidly Developing Edge Capabilities
  • SAP: Roadmap from Software to Cloud & IoT Player
  • SAP Leonardo: Built on SAP Cloud
  • SAP Edge Services: Enables Business Context and Intelligence at SAP
  • Growing Portfolio of Edge Services Managed by Cloud Based Console
  • Traditional ISV & SI Partners Driving SAP Leonardo Growth
  • Case Study: Predictive Biometric Modeling
  • Case Study: SAP Leonardo Biometric Edge Solution
  • Key Takeaways: Great Potential in Enterprises But Needs More Traction

Author: Neil Shah and Falguni Shah
Number of Pages: 12
Published Date: July 2018

AWS Greengrass: Amazon driving intelligence at the Edge

Overview:

This report discusses the need to shift from Cloud to Edge computing and the current players. It thereafter analyses AWS Greengrass in detail, going into its features, benefits, partner ecosystem and concludes with case studies and comparisons

Table of Contents:

  • AWS Greengrass – Features and Benefits
  • AW Greengrass – Growing Partners Ecosystem
  • Case Studies
  • AWS Greengrass and Azure IoT Edge Comparison
  • Key Takeaways

Author: Falguni Shah
Number of Pages: 13
Published Date: May, 2018

Microsoft Azure IoT Edge: Extending Intelligence from Cloud to Edge

Overview:

As Internet of Things (IoT) becomes more prevalent, a swelling pool of data gets generated at the sensor and device level. There is an increasing need for real-time collection, processing and analysis of this data at the device or gateway level i.e. closer to the edge. This is Edge Computing & Analytics, which emulates the public cloud capabilities by bringing intelligence closer to the devices but with a smaller and agile footprint.
 
Many leading cloud and analytics companies such as Amazon, Microsoft, PTC Thingworx, GE, HP Enterprise, IBM, and others provide IoT solutions and products. However, there is a rising trend among these companies to integrate edge analytics capabilities as part of their IoT platform. Amazon and Microsoft are primarily offering software and services for edge analytics, which tightly integrates with their existing cloud data storage and analytics platform. In this series of reports, we will deep dive into these unique and varied IoT and edge analytics implementations from various vendors.
 
 

Table of Contents

  • Executive Summary
  • Advantage of Edge Analytics
  • Case Studies : IoT Edge Implmentation & Benefits
  • Key Takeaways

Author: Falguni Shah
Number of Pages: 8
Published Date: March 2018

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