What is Data Orchestration and Why it is Shifting the Paradigm for Industrial IoT

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Even as the Industrial IoT (IIoT) is changing the business landscape for industrial companies, studies indicate that over 75% of IIoT projects have a high risk of failure, and won’t progress beyond the ideation stage. There are three critical factors that ultimately determine the outcome of any Industrial IoT project. This whitepaper will unearth these factors and examine them in detail. 

In this context, this whitepaper will:
  1. Examine common problems in building an IoT infrastructure: Difficulties associated with sourcing different parts of the infrastructure from different vendors, and problems around the lack of interoperability between operations technology (OT) and information technology (IT), which frustrates efforts to kick Industrial IoT projects off the ground. 
  2. Challenges associated with processing, and acting on, voluminous quantities of data; looking at recent innovations in the IoT landscape, particularly distributed data orchestration at the deep edge, and how such advances can help obtain and act on the right data at the right time.
  3. Make a case for how an “all-in-one” (or “single-throat-to-choke”) approach, along with distributed data orchestration, can be used to circumvent these problems and accelerate time to market.  

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