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The advent of Internet of Things, Industry 4.0, Artificial Intelligence, Smart Cities and ubiquitous data on the edge provides a new opportunity for data capture and processing, activities that are expected to happen outside of the data center and cloud.

In order to differentiate and gain competitive advantage, key industrial players are beginning to expect faster computing capabilities, interoperability, compute flexibility, and dialed-up operational efficiency.

“By 2025, edge computing will be a major and growing competitive investment for a large number of enterprises, being on the frontlines of all their digital business strategies

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WHY EDGE COMPUTING?

  • The relevant data are not longer exclusive to centralized computing locations such as Internet, enterprise data center and hyperscale cloud.
  • IoT, Industry 4.0, Artificial Intelligence, Smart Cities or 5G feature intrinsic need for edge data and computation, often critical in latency.
  • Moving processing and data closer to the edge can also address concerns such as bandwidth, data privacy and autonomy.
  • Growing need for enterprise software for edge data capture, computation and ingestion

EDGE COMPUTING

SOLUTION

UNLOCK CRITICAL ASSET DATA FOR DIGITAL TRANSFORMATION
IN A COST-EFFECTIVE AND NON-INTRUSIVE WAY.


Datumize Data Collector (DDC) is a multi-platform and lightweight middleware used to capture and compute data that is trapped inside edge machines, devices and appliances from complex, often transient and/or legacy data sources. This kind of data ends up being mostly unexplored as there are no easy and convenient methods of access.

DDC provides low cost and non-intrusive technology for data capture — polling, network sniffing and deep packet inspection, and edge computing — scripted business logic in Python or JavaScript, endpoint management and 3rd party software bundling (libraries, configuration or containers), enabling advanced data integration, AI or 5G use cases.


USE CASES

Moving outside the comfort of the data center or cloud introduces significant opportunities for edge data capture and computation

  • 5G Edge Applications: telcos are creating edge platforms to support 5G client applications and to promote new B2B digital services, eg virtual PLC (control & automation), Ultra Wide Band, or machine/sensor data ingestion
  • Edge Artificial Intelligence: certain AI analytics (eg gesture recognition or construction in isolated places) must be computed on edge data for minimal latency and bandwidth
  • Process offloading to Edge: reduce the pressure on cloud and data center platforms by offloading data aggregation & computation to the edge, yielding considerable OPEX reduction

EDGE COMPUTING

BENEFITS

01

LATENCY REDUCTIONS

  • Edge computing significantly reduces lag times associated primarily with centralized computing systems, either in data center, hyperscale or cloud

02

COST REDUCTIONS

  • Data management costs reduced because edge gateways fill critical intermediary data processing and integration capabilities

03

OPERATIONAL EFFICIENCY

  • Certain data are only available on the edge, presenting lost opportunities for companies not currently tapping into it
  • Processing and storage closer to users and “things” can also address concerns such as bandwidth, data privacy and autonomy

04

DIFFERENTIATION THROUGH AI

  • Certain advanced AI models are transitioning to the edge to access privileged data sources 

CLIENT STORIES

5G PLATFORM & EDGE COMPUTING

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KPN, market leader in the Netherlands, is a leading telecommunications and IT provider. With fixed and mobile networks for telephony, data and television, KPN focuses on both private customers and businesses.

Datumize expertise in data capture and edge computing was a compelling value proposition for KPN to engage in multiple pilots in its 5G lab located in Eindhoven. The end-goal of this engagement was twofold: on one hand, build B2B cross-industry use cases to create digital services such as smart maintenance; on the other hand, leverage KPN’s 5G network infrastructure investment and be able to monetize, mainly by offering targeted B2B services.

Datumize has been able so far to integrate successfully, in record time, into KPN’’s Data Services Hub (DSH). DSH is a platform-as-a-service for real-time information exchange, aimed at supporting digital projects with data. Additionally, Datumize core data capture technology has been effectively deployed in the compute infrastructure available at 5G substation nodes. The most appreciated features of Datumize’s product for this highly-demanding environment are the ability to operate remotely and deploy any data integration pipeline to serve multiple purposes of data capture, edge computation and ingestion into DSH.