I hope you enjoyed last week’s roundup. This week proved another interesting one for IIoT news: Gartner shared their Digital Twins best practices, new research reveals motives behind transportation and logistics IIoT deployments, Information Management discusses how IIoT is giving birth to the Smart Factory and more! So, in no particular order, here are some of the key stories from this week.


Smart IoT strategies: Enhancing machine-to-machine integration and enabling the smart connected factory – We know that IoT is revolutionizing manufacturing, but how exactly? Information Management’s Nick Ismail explains how IIoT is giving birth to the Smart Factory that is connected, intelligent and aware – enabling new levels of productivity and predictability. (Source: Information Age)

Transportation & Fleet Management

IoT is a leading force in helping the transport and logistics sector to drive down its carbon footprint, finds Inmarsat – New research suggests companies within transport and logistics are prioritizing IoT to improve environmental sustainability and enhance their operational success. Specifically, 95% of companies in the sector are actively implementing IoT technologies to improve their environmental sustainability. One example of this is using IoT to collect data which can be used to limit engine wear-and-tear and increase average miles-per-gallon (MPG), indirectly reducing overall emissions and minimizing wastage by extending the lifespan of each vehicle. (Source: American Journal of Transportation)


Confront key challenges to boost digital twin success – Digital twins is a buzzword in IIoT right now – and for good reason – but for many it’s still unclear what exactly a digital twin deployment looks like. In this new report, Gartner provides best practices on how to develop digital twins, including: (1) involving the entire product value chain, (2) establishing well-documented practices for constructing and modifying the models, (3) including data from multiple sources, and (4) ensuring long access life cycles. (Source: Gartner)

Predictive maintenance: One of the industrial IoT’s big draws – Predictive maintenance, predictive repair, or whatever you call it, it’s an important topic in IIoT. Network World’s Jon Gold calls it the number-one value-add of IIoT to operation technology so far. While that’s a pretty big claim, it’s also difficult to disagree. Predictive maintenance allows you to pinpoint when components of industrial equipment are likely to fail so it can be replaced or repaired, thereby avoiding more costly damage and downtime. (Source: Network World).

Curious how predictive maintenance translates to your industrial company? Read our data sheet outlining all the predictive capabilities in our DataV Predict app.

Prepping for IIoT integration: Questions C-suite should ask – If the world’s oldest profession (fishing) can effectively use IoT data to improve operations and the customer experience, then so can you! This article advises executives to focus on outcomes and customer satisfaction as a means to guide IIoT deployment goals. Spoiler: the key is to ask what data you need to improve your business, before rolling out the technology.  (Source: Industry Week)

Not sure where to start? Review our IoT use cases to see what’s possible.