IoT

Many blockchain use cases need IoT to succeed, and more

Nastel Technologies®
August 17, 2019

Neither blockchain nor IoT are simple technologies, but the growing credibility of managed platform services makes the technical aspects less daunting. The real barriers to success are the rules and processes required to change business models and culture.

Many of the most advanced and successful blockchain projects involve use cases related to supply chain and logistics, ranging from documentation management and goods tracking to trade finance. Having access to a “golden record” of key data is clearly a benefit in its own right — no more phone calls and email exchanges to reconcile data, everybody knows where the goods are, and so on. But for many use cases, that’s not enough.

Any blockchain network that involves the tracking of an asset — whether it’s an expensive piece of equipment or a shipment of fresh strawberries — needs more data than just the location of the items. Have those strawberries been kept within a prescribed temperature range? Has the equipment got damp at any stage? And even, is this item genuine, and has nobody tampered with it? Without an understanding of the condition of the goods, companies won’t be able to leverage the benefits of blockchain networks to full effect. Enter the internet of things (IoT)!

There are also more futuristic applications of the IoT/blockchain combo: Many paint vivid pictures of self-managed (potentially even self-owned) devices that interact autonomously and settle economic transactions between them. When my colleague Paul Miller and I embarked on a research project to discover the state of the art when it comes to IoT and blockchain in combination, we weren’t surprised to find that this future hasn’t arrived yet. What did surprise us, though, was the comparatively small number of projects that are moving beyond the proof of concept (PoC)/pilot phases for use cases that are achievable today.

Or maybe we shouldn’t have been surprised — operationalizing is hard! Organizations find it difficult enough to grapple with new technologies like blockchain and IoT without adding the complexity of doing all of this at scale and in the sorts of loose federations of partners and competitors where blockchain makes the most sense. And we also found that there are still many projects where the teams have failed to address some of the fundamental questions that need answers before tech development proceeds.

This article originally appeared on zdnet.com To read the full article, click here.

Nastel Technologies uses machine learning to detect anomalies, behavior and sentiment, accelerate decisions, satisfy customers, innovate continuously.  To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s AutoPilot® for Analytics fuses:

  • Advanced predictive anomaly detection, Bayesian Classification and other machine learning algorithms
  • Raw information handling and analytics speed
  • End-to-end business transaction tracking that spans technologies, tiers, and organizations
  • Intuitive, easy-to-use data visualizations and dashboards

If you would like to learn more, click here.

Nastel Technologies is the global leader in Integration Infrastructure Management (i2M). It helps companies achieve flawless delivery of digital services powered by integration infrastructure by delivering Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate, to answer business-centric questions, and provide actionable guidance for decision-makers. It is particularly focused on IBM MQ, Apache Kafka, Solace, TIBCO EMS, ACE/IIB and also supports RabbitMQ, ActiveMQ, Blockchain, IOT, DataPower, MFT and many more.

 

The Nastel i2M Platform provides:

  • Secure self-service configuration management with auditing for governance & compliance
  • Message management for Application Development, Test, & Support
  • Real-time performance monitoring, alerting, and remediation
  • Business transaction tracking and IT message tracing
  • AIOps and APM
  • Automation for CI/CD DevOps
  • Analytics for root cause analysis & Management Information (MI)
  • Integration with ITSM/SIEM solutions including ServiceNow, Splunk, & AppDynamics

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