The IoT Curator Sep 2017
- How to get IT & OT to champion your IIoT proposal?
- IIoT Revolution at Edge (with Edge computing)
- What can Data Science do for Manufacturing
- IIoT & Digital Customer Experience
Welcome back to the latest edition of the IoT curator. We look forward to discussing the latest trends, thought breaking takes around the IoT & industrial world that we got our hands on this month. So here is our take on the pick for this month:
How to get IT & OT to champion your IIoT proposal?
Information technology and operational technology share a complicated relationship. Each system was developed with a different goal in mind. IT systems are intangible and can collect, store and send data. In contrast, OT systems with its large machines produce huge amounts of data that IT can capture and leverage. However, there is one key problem; neither function was designed to work with the other. As a result, most organizational data stays in silos and is not utilized to its fullest potential. IoT can build a bridge between these departments and can provide massive benefits to both. without compromising the department’s unique objectives. Here are a couple of characteristics you need to check in your IoT solution to get a buy-in from both IT & OT. The ideal IoT solution must be compatible with existing IT/OT systems, the data should be democratized accessible by all departments, yet provide them with customized insights for their business decisions. You can find some more perspectives in the article 5 ways to get IT & operations to champion IIoT.
IIoT Revolution at Edge
Even today, Cloud centralized systems are the most widespread model for IIoT applications.. In this model, All things are directly dependent on the central computing power at the cloud to send and receive information and to be commanded to perform pre-decided actions. It is the easy, inexpensive and it works well. However, this approach does have a few shortcomings: The cloud systems are not built for scalability and an exponential increase in end-points might cause a delay while the message is routed through cloud platforms for analytics, management or simply relaxing. This can be catastrophic for use cases that need instant action. Network latency issues & cloud provider’s downtime issues can cause the entire network to go down, further aggravating the problems with this approach. This is where edge computing can help. A phenomenon to shift computing power to the edges of the network, edge computing promises to bring more resilience, flexibility, security, and transparency. Time to insight and action of the IoT systems can be tremendously accelerated if machine learning models, serverless computing, and lightweight databases are driven into edge devices. To know more about this Read an article on Why The IIoT Revolution Will Happen At The Edge, Not In The Cloud
What can Data Science do for Manufacturing
A recent Veritas Global Databerg report found that 85% of stored data is either dark or redundant, obsolete, or trivial. Hence, collecting a judicious amount of data from shopfloor does not lead to improvements. With Data Science in the game, the manufacturer can now automate the analysis of data from equipment sensors to detect anomalies and predict equipment failure. Equipment lifetime and uptime can also be predicted, defects identified and optimal scheduling of inspection rounds achieved. This presents an open opportunity to reduce downtime and increase machine utilization. The application of advanced machine learning to this can further enable manufacturers to model products, machines, and assets in software to simulate different scenarios to find ways to maximize efficiency for any given situation. Thus, it provides them with priceless insight into the design, usability, and serviceability of a product before resources are committed to its production. To learn more about benefits and challenges for Data Science in Manufacturing Read the article What Data Science Actually Means To Manufacturing.
IIoT & Digital Customer Experience
The buyer-oriented market fuelled by the fierce competition has forced the sellers to stand up and take notice of what today’s buyer wants all the time. In this critical scenario, IoT has proven to be the most effective weapon in the manufacturer’s arsenal. It helps manufacturers to bring an omnichannel coherence to the Digital Customer experience process. It enables a 24*7 connectivity with the end-user and customer which can help the enterprises in not just understanding their customers to serve them better, but also driving process excellence.In the super-connected world of today, IoT can help the seller reach out to the connected customer to enrich their experience with the brand. Learn how manufacturers can leverage IoT for Digital Customer Experience to provide proactive after-sales service, get valuable customer usage insights, make better products and craft relevant and targeted business models for the customer in this blog. Read the blog IoT for Digital Customer Experience .