Industrial IoT, IoT Security
Article | July 11, 2023
2022 looks bright for power optimization! The vibrant research and development in Internet of Things (IoT) is fueling the expansion of wireless monitoring solutions and enabling giant leaps in terms of low-power design. A longer lifetime for your batteries, and thus for your device, is a dream about to come true.
We have gathered some of the most notable power optimization trends that are getting us all excited for 2022…
5G, the next era of broadband cellular networks will offer improved power saving capabilities
The next wave of wider 5G cellular technology is designed to support various new highly challenging industrial use cases. These usually require increased hardware complexity and more processing, together with higher processing power. These requirements can raise power consumption quite significantly.
Smart power consumption and energy efficiency are thus becoming keys for the success of these applications and 5G technology.To that extent, 5G New Radio (NR) has progressed swiftly. The new 3GPP™ release is designed to significantly improve the performance, flexibility, scalability, and efficiency of current mobile networks. Improved power saving features now allow IoT developers to get the most out of the available battery capacity. This could make all the difference for new IoT use cases and efficiencies.
A new generation of sensors are optimized for low power technologies
New families of ‘breakthrough’ sensors, based on anultra-low power architectureare optimized for use in compact wireless devices. These sensors offer a richer set of functionalities and can be combined to create new insights (sensor fusion). One of the greatest challenges facing developers of these small form-devices is power consumption. Aware of these limitations, hardware manufacturers have been working hard to address them. Integrated circuit designs and techniques are now using less power while smart processing capabilities are enabling the sensors to intelligently manage sensing functionalities,delivering ultra-low power performance for best-in-class power consumption. The use of advanced Low Energy Bluetooth and wireless protocols (e.g. Bluetooth Low Energy (BLE) or ZigBee Green Power) also allows the transmission of data to the gateway more efficiently compared to prior solutions, opening new possibilities for developers.
Big Data, Analytics, Machine Learning and Edge computing are picking up the pace
The explosion in data volume and diversity is forcing organizations to rethink the way they process the information. Indeed, capturing, sending and processing the information in the cloud can be taxing for the network, the storage and the computing infrastructures which demands more processing power, hence the need to keep the transmission window as short as possible.
This has led to the development of advanced devices capable of collecting, processing and storing data autonomously before the data is sent to the servers. This concept is calledEdge computing. By reducing the need for data to be streamed through the networks, diminishing computing and processing costs,Edge computing contributes to optimizing power performance, whilst delivering quality data in a more sustainable way.
The rise of DevOps and new IoT Device Management platforms are contributing to better efficiency and better devices
The rise ofDevOpshas been swift. Derived from Development and Operations, ‘DevOps’ teams are responsible for making sure that the infrastructure is being maintained properly.With the help of IoT Device Management platforms—which are a central part of today’s IoT ecosystems— DevOps teams can better manage, scale and operate their fleet of devices remotely and reduce long-term operational costs.One of the areas that benefits from the rise of DevOps implementation is power supply optimization, as more efficient protocols such as Lightweight Machine to Machine (LwM2M) allow for device and battery monitoring, remote device actions and faster communication.
Harvesting technologies are becoming more effective
Power harvesting technologies include processes where energy from ambient sources such as the sun, temperature, movement or wind, is captured and stored to power wireless autonomous devices. Now gaining experience,harvesting technologies can exploit natural resources better than ever before.
As a result,the gap between the power requirements of embedded systems and the energy generated by energy harvesting systems is finally closing. Industrial applications for these technologies are still very limited, but coupled to efficient rechargeable batteries, they can present new opportunities for devices deployed in wild remote areas.
Power optimization tools are becoming increasingly exhaustive and reliable
Battery optimization is everyone's business and needs to be considered throughout the overall system performance analysis, from prototyping to deployment and on toward maintenance cycles.
Several innovating tools haveappeared on the market over the past few years and developers have now access toa rich ecosystem of tools to analyze their overall system performance.
Wisebatt for Saft for example can help creating a virtual prototype and simulate its consumption.Deutsche Telekom’s IoT Solution Optimizergoes even further. You can model the complete system to identify potential energy consumption issues or leaks. The system can not only recommend the right combination of power saving features based on your use case, but also can help you visualize how communication payload size, protocol use and communication frequency impact your battery life.
When at the prototype stage,Qoitec Otii solution measures in real time the consumption of your device at various temperatures, up to the measurement of the firmware and hardware operations without the need for expensive testing. These tools are constantly enhanced and improved to deliver better analysis and more accurate data.
With an increased awareness from IoT developers of the stakes of power consumption and the growing rate of low-power innovations, batteries are now able to outlive the devices they’re in. This opens the doors tomany new markets and applications and above all to more sustainable consumption patterns. When we told you the future looks bright, we weren’t joking!
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Enterprise Iot
Article | May 11, 2023
Trying to secure the industrial network in one go is like boiling the ocean. Better to view it as a journey. At each step in the journey, you’ll make incremental changes to people, process, and technology.
Minimal security. This is the current state for most manufacturers. If you’re here, you’ve segmented the industrial network from the IT network. Traffic can’t cross from the IT network to the industrial network without clearing the DMZ. You can block malware from entering the industrial network. You can block malware from leaving the industrial network to infect the enterprise network. But if the industrial network is exposed to malicious software, you don’t have a way to contain it. That means the malware might affect multiple manufacturing cells or production lines — even multiple plants.
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IoT Security
Article | June 27, 2023
The evolution of internet-based market models has changed the way businesses operate. Present-day businesses know that data visualization in business intelligence is integral to competitive success. Therefore, businesses are now expanding their data and intelligence retrieval capacities. As a result, IoT (Internet of Things) data visualization is gaining popularity among industrialists and researchers across various disciplines.
In corporate finance, IoT-based efficient data visualization analyses data from multiple sources with the help of corporate analytics management tools and manages data quality for business intelligence to reduce the risk of leaks.
Impact of IoT Data Visualization on Corporate Finance BI
Data is everywhere— right from a customer's first visit to your company’s website until he signs out, all the behavioral patterns and data are tracked. All this data becomes useless unless it is utilized for a particular purpose.
Analyzing this data to predict future trends is one of the significant benefits of smart data visualization tools and technologies. It helps to slice and dice the data gained from different sources of different complexity levels to the minute granular level. Business intelligence utilizes these insights and the existing database to run risk analysis.
It gives an overview of your financial performance and the risks and exposures it faces. And if you switch the KPIs at the center of any dashboard, your entire team can instantly access the most important and relevant data.
IoT data visualization can measure big data on customers more efficiently, allowing organizations to add value to their customers. Customized tools will analyze your customers’ data and produce reports according to specific customer needs to help you get a deeper insight. Corporations can also utilize this data to better understand their competitors’ benchmarks.
Customizable IoT Data to Store Millions of Data Points in One Place
IoT collects millions of data from various complex sources. The data visualization dashboard contains multiple widgets that convert this data into various forms, such as line graphs, geographical maps, bar charts, pie charts, gauges, heat maps, etc.
This information, transmitted into multiple visualizations, helps organizations to unlock every piece of data into a valuable asset.
The Benefits of Using IoT Data Visualization
Businesses can collect, analyze and monitor a variety of data using IoT, such as internet usage data, video surveillance data, mobile app usage, and social media. It helps businesses to design products and provide personalized value-added services to drive better consumer engagement. Here are some key benefits IoT data visualization offers:
Unlock multiple insights across various verticals
Addressing important financial concerns proactively
Combination of multiple data sources into a single insightful dashboard
Multi-layered visual data.
Combines new data with the existing data to analyze new business opportunities.
Better performance on IoT data flow.
Analyze multiple data correlations in real-time
Improved Collaboration
Well-coordinated and efficient performance.
Cost reduction
Accurate data interpretation
Mitigate risk factor
Better decision making
Conclusion
Hands down, IoT data visualization intelligence in a company’s business operations will lead to better decision-making. But, before you choose an IoT data visualization tool for your business, you should know what kind of data you need to analyze and if you need any additional historical data. Because IoT services offer data visualization tools and techniques to analyze and monitor the data accordingly to predict future trends. So, it’s important to identify the goals before selecting a tool for your organization.
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Article | January 29, 2021
If you’re struggling with creating a value proposition in volatile markets, you’re not alone. According to Neil Patel, 40% of marketers struggle to acquire leads by traditional marketing methods. As competition grows in each industry, even fairly monopolistic markets like tech are seeing rising competition in all areas.
To combat market uncertainty, as well as stand out amongst your competitors, you need a market strategy that not only offers a direction but actively targets your goals. A market strategy is your go-to plan when things get rough and it is a map for when the waters are calm. Moreover, marketers with a documented strategy are 313% more likely to report success.
We’re sure you already have a market strategy that is just right for you. But have you considered if it can be refined further? Thanks to emerging technologies like IoT, we now have access to the most mundane customer decisions that are taken on a day-to-day basis. This data is your ticket to a better market strategy without having to spend a bomb.
This is how you can refine your market strategy with the help of IoT.
Data-driven Decisions
The Internet of Things has offered us insurmountable amounts of consumer data. A caffeine brand can now access information such as what time consumers have coffee, whether it is at home or office, what flavors they prefer, how much they’re willing to spend on coffee, and what other alternatives they consume. This kind of data, collected on an IoT device such as a coffee machine, is instrumental in making marketing decisions. If you know that your consumer prefers to have coffee at work in peace rather than in a rush at home, you can target offices in the area with your product rather than targeting individual consumers.
IoT offers you the right information to make the right decisions. But you can also leverage this data to drive your market strategy. In the above example, the marketing team can account for campaigns geared towards workplaces based on the available data in the budget. Data-driven strategies prove to be more effective than otherwise, and as marketers, you must absolutely leverage any IoT data that may be relevant.
Respect your Customers
While IoT offers marketers a truly astounding amount of data, not all users are aware of what data is being tracked. This raises concerns for privacy and security among the users. Even though most of the users waive their rights to withhold the information when signing into an app or wearables software, they are not always comfortable sharing certain data.
As marketers, it is important to keep your practices ethical and legal. Using consumer data may be completely legal, but it is best not to offend your customers by overt use of data that they aren’t comfortable sharing. Make sure that the usage of data in marketing campaigns and strategy is limited to what data has been consciously shared by your consumers. This will bolster your goodwill, as well as make your customers trust your brand.
Offer Valuable Solutions
With the advent of Big Data and AI technologies, the internet of things is turning over a new leaf. As there is a vast amount of data that can be processed fast with AI, marketers can now target individuals rather than households or groups. With precise data available over consumer decisions and actions, it is possible to know if there are any unlikely customers that you have been ignoring so far.
IoT allows you to not only target these customers but also solve their problems. If we continue the caffeine example, the connected coffee machine can tell you when the coffee is about to be over, this can send you reminders to buy coffee, or in case of further automation, place an order on Amazon on your behalf. These solutions can be now hyper-personalized to suit individual needs through IoT.
IoT Based Campaigns
Your market strategy will have to account for campaigns throughout the year, but if you’ve noticed closely, the only marketing campaigns that gain significant traction are the ones that have a ‘wow factor’. A lot of marketers mistake the wow factor to be a subjective preference that customers have but it couldn’t be further from the truth. The wow factor is simply the effect produced when a business goes above and beyond to meet customer needs. IoT offers us the resources required to manufacture the wow factor in every single campaign.
A great example of this phenomenon is beacon marketing. Beacon marketing is considerably new in the marketing industry and uses Bluetooth technology to transmit information to nearby mobile devices. It is heavily used in retail across the globe and giants like Target and Walmart are already using the technology to market its services. Walmart places beacons in its lights across its stores and sends offers to its customers based on their location. It not only personalizes the shopping experience, but also saves a large amount of electricity bill for its stores.
Target Existing Customers
Many times, in a bid to appease new customers, marketers often forget about their existing customers. Your existing customers already know you, have tried your product or service, and are clearly interested in the product. A good product or service is often enough to keep the customers returning, but with the current levels of competition, customers often find themselves wondering if they should try new things. As a marketer, all you need to do is deter your existing customers from straying. You can do this by either providing an unparalleled service, which is quite unlikely in today’s market, or you give them a reason to stay.
Thankfully, targeting existing customers is much easier than targeting new ones. You already have their data over their preferences and habits. If you know that a certain firm updates their applications every second quarter, you can send them offers just before the second quarter starts and remain fresh in their memories when they decide to make the decision.
Allergy medication Zyrtec leveraged IoT when targeting their existing customers with a voice-enable application. Its users could just ask the application about the daily allergens and pollutants in their area so they could prepare ahead. The app offered a powerful solution to its users while making great use of its brand image and retaining almost all of their existing customers.
Leverage New Technologies
We have already discussed several complementary technologies to IoT that can help you make the most out of your market strategy. AI and Big Data are some of the strongest allies for IoT that can help change the norms across industries. But even limited technologies like voice-enabled applications, QR scanners, beacons and so can open up a lot of opportunities for marketers.
Consider adopting some of these technologies such as geofencing which are inexpensive and effective at the same time. Burger King is a great example of using geofencing for marketing. Geofencing is a technology wherein you can transmit messages or information to mobile devices within a certain area. Burger King set up their geofences across all McDonalds in the UK and as soon as anyone entered within a 500 m radius of a McDonald’s outlet, they received Burger King coupons and directions to the nearest store.
Case Studies
There are a lot of examples of IoT being used to enhance strategies or campaigns. Some of these examples are given below.
Diageo, a whisky brand in Brazil innovatively used IoT to run a father’s day campaign. They encouraged men to buy whisky for their fathers and placed a QR code on their bottles. Once the bottle was received, the fathers could scan the code which would play a personalized father’s day message by their sons. This concept was so loved by people in Brazil that Diageo saw a 72% sales uplift in the two weeks leading up to Father’s Day.
South East Water, CRM leveraged IoT by building an end-to-end IoT ecosystem powered by IBM’s Maximo. This helped them roll out an app that offered near real-time insights into customer requirements for over 80 engineering teams. This alone helped them ensure higher customer satisfaction and accelerated access to critical reports by 99 percent!
Uber and Spotify rolled out an IoT campaign together wherein you could access your Spotify playlists through the Uber app and once you were in an Uber, you could play whatever you liked through the app and it would play on the car’s speakers. This increased customer satisfaction for both Uber and Spotify users.
There are several examples of using IoT in marketing campaigns, and there is never a dearth of ideas. However, in order to appeal to your unique customer base, you need to innovate your product with IoT.
Frequently Asked Questions
What is the IoT strategy?
IoT Strategy refers to an organization’s strategy to inculcate IoT in their business, whether as a marketing tool or as an integral part of the process.
How does IoT affect the marketing industry?
IoT offers a lot of insights and resources to marketers which helps them target their customers better and optimizes any marketing efforts, thereby effectively obliterating traditional marketing practices.
What is the best internet of things marketing strategy?
There is no one IoT marketing strategy that fits all businesses. Each business needs to identify its customer requirements and strategize accordingly.
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