Data, dashboards and decisions

Cloudleaf enterprise solutions orchestrate the flow of assets across the three dimensions of data, dashboards and decisions, writes Nitesh Arora, the head of marketing at the company

Cloudleaf IoT solutions are predicated on the most robust, secure and interoperable technologies available today. However, our story doesn’t end there. Although we’re undeniably a tech company, our solutions approach is decidedly non-technical; we view technology as the means not the end. In fact, we can extend this idea by saying that, for us, the success of an IoT implementation is measured, not by the number of sensors or cloud analytics apps, but by the degree to which it provides sustainable and measurable value to society, the environment and on the bottom line. By adopting a Three Ds solutions approach, we’re able offer rich live data, accessible from intuitive mobile dashboards from which operations managers can quickly make critical resourcing and prioritisation decisions.

Now that we’ve got that straight, let’s come back down to earth and talk nuts and bolts in terms that both engineers and everyday folk can understand. If you read our other article on page 16 of this issue, you’ll get a good idea of how the Cloudleaf Sensor Network helps those running industrial operations derive maximum business value in the areas of:

Asset utilisation – Serialised management, location tracking and monitoring, utilisation, inventory control and dwell-time management
Factory operations – Product quality assurance/quality control (QA/QC), audit and regulatory compliance, safety and loss management, work node control and work in progress (WIP)
Complex assemblies – Multi site/party workflows, supplier conformance, on-time delivery and penalty mitigation
Condition monitoring – Predictive/prescriptive management, environmental monitoring and fault management

So let’s get further down into the weeds and talk about our tech.

The Cloudleaf family of products is made up from a collection of end-to-end hardware, connectivity, cloud services and apps that solve distributed manufacturing challenges and harmonise workflow relationships between people, systems and things. Our endpoint sensors, zone sensors and gateways form an intelligent-mesh that orchestrates the flow of realtime asset data, elegantly bridging the operation technology (OT) domain processes with back-office information technology (IT) business systems. We call this the CloudLeaf Sensor Fabric. Let’s take a closer look at the components:

Cloudleaf Sensor Fabric The Cloudleaf Sensor Fabric is composed of patented, easyto-deploy, purpose-built and location aware sensors and gateways, to enable smarter operations, with indoor, outdoor and in-transit coverage.

Cloudleaf Sensors – Long-range sensors that securely collect and share asset location and condition data over our patented Bluetooth Smart technology.

Each Cloudleaf-enabled asset in the Sensor Fabric generates a unique digital fingerprint with location and contextual metadata (such as temperature, shock, vibration and more). More assets-sensors results in the more accurate data and better intelligence. There is virtually no limit to the number, class, location or mobility of assets that can join the fabric. Moving containers of raw materials, lab samples, sub-assemblies, components, finished products, high-value handheld tools and fixed industrial robots are all excellent candidate asset types. And given a two-to-five year battery life, long-range Bluetooth connectivity and sensor provisioning from the […]

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IoT projects driving IT budget decisions, 451 Research finds

IoT projects drive IT infrastructure spend, 451 Research finds

From the edge to the cloud, IoT projects are already making their impact felt on corporate IT budgets, says a new report from market analyst firm, 451 Research.

In the latest Voice of the Enterprise: IoT Workloads and Key Projects report, the company’s analysts found that organizations deploying IoT are planning increases in storage capacity (cited by 32 percent of respondnents), network edge equipment (30 percent), server infrastructure (29 percent) and off-premise cloud infrastructure (27 percent) over the next 12 months, in order to help manage the wealth of new data that Internet-connected machines, sensors and devices are expected to generate.

Two-thirds of those questioned, from a pool of some 575 senior IT buyers, said that their organizations plan to increase budgets for  IoT projects over the next 12 months.

IoT projects drive IT spending, 451 Research finds

(Credit: 451 Research)

Read more: IoT spending to reach $ 1.4 trillion by 2021, says IDC

Use cases changing

Today, IT-centric projects are the dominant IoT use cases, particularly datacenter management and surveillance and security monitoring. Two years out, however, facilities automation will likely be the most popular use case, and line-of-business-centric supply chain management is expected to jump from number six to number three.

Finding IoT-skilled workers, meanwhile, remains a challenge since the company’s last IoT survey in 2016, with almost half of respondents saying they face a skills shortage for IoT-related tasks. Data analytics, security and virtual­ization capabilities are the skills most in demand.

Read more: Here to stay: Why the ‘plan, build, run’ model is still relevant to IoT

On premise or in the cloud?

451 Research finds that the collection, storage, transport and analysis of IoT data is impacting all aspects of IT infrastructure budgets. Most respondents say they initially store (53 percent) and analyze (59 percent) IoT data at a company-owned data center. IoT data remains stored there for two-thirds of organizations, while nearly one-third of the respondents move the data to a public cloud.

But according to the company’s analysts, once IoT data moves beyond operational and real-time uses and the focus is on historical use cases such as regulatory reporting and trend analysis, cloud storage gives organizations greater flexibility and often significant cost savings for the long term.

Despite this centralization of IoT data, the survey also finds plenty of action at the edge. Just under half of respondents say they do IoT data processing – including data analysis, data aggregation or data filtering – at the edge, either on the IoT device itself (22 percent) or in nearby IT infrastructure (23 percent).

“Companies are processing IoT workloads at the edge today to improve security, process real-time operational action triggers, and reduce IoT data storage and transport requirements,” said Rich Karpinski, research director for Voice of the Enterprise: Internet of Things.

“While some enterprises say that in the future they will do more analytics – including heavy data processing and analysis driven by big data or AI – at the network edge, for now that deeper analysis is happening in company-owned datacenters or in the public cloud.”

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Internet of Business

DrnkPay helps drunks make a few less bad decisions


A new mobile payment device was recently introduced that can utilize a breathalyzer and fitness tracker-like band to help prevent people from spending too much money when they’re intoxicated.

DrnkPay is a new app that is able to track and monitor how much individuals have drunk, and limit more purchases if they’ve had too much to drink, by connecting the device to a user’s credit and debit cards through the app.

See Also: Will data analytics transform our healthcare system?

A financial services consult, iBe TSE, developed this new system, deciding to participate when research produced by OnePoll showed half of alcohol drinkers in the UK between the ages of 18-34 have wished they hadn’t made another purchase when they were intoxicated.

“This is a problem many of us have encountered, so we decided to create a simple solution which uses the latest technology,” stated Francesco Scarnera, CEO of iBe TSE.

“Once you’ve hit your self-imposed limit, the app will lock your card and prevent you making further payments. It’s up to you whether to block all payments, or just certain ‘weak points’, such as takeaways, clubs, or that flight that seems like such a great idea at 4am.”

Finally a pocket breathalyzer

Utilizing a breathalyzer to monitor how much someone has had to drink is not a revolutionary concept, but not everyone wants to carry one around with them.  That is why using the wearable, Quantac Tally, is a much more convenient choice for many people.  This device is capable of analyzing the alcohol content in a user’s bloodstream before sending information to the app being used.

iBe TSE is presently meeting with banks and card providers about sending the technology to their customers during the next 12 months.  Meanwhile, it is likely that the Quantac Tally will be sold independently, to be used with the app. Although this may not be something that everyone embraces, there is most definitely a market for this.

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