Big data analytics has already taken root in the energy industry. This blog describes how exactly big data analytics can drive value in the electric power sector. Based on the experience gained from our cooperation with electric utilities, I will show you three practical examples of how big data analytics augments the energy industry. Use Cases of The Way Big Data Analytics Makes the Energy Industry Smart Fault Detection and Predictive Maintenance It is common knowledge that equipment failures in the energy industry can result in catastrophic power outages and large quantities of money spent on new assets, restoration work, and energy losses. A power outage can bring an entire country to a halt, as the Northeast blackout of 2013 did in the United States, affecting nearly 45 million people. Unfavorable weather is one of the leading causes of power disruptions. Nonetheless, electric and utilities custom software development firms are developing smarter infrastructure and sensors to improve predictability and avoid such outages. Electric Power QualityElectric power quality influences the safe operation of a power grid and consumers’ satisfaction. Fortunately, big data software goes far beyond detecting disturbances a posteriori. For example, we at data analytics dashboard development company offer our customers to implement continuous power quality monitoring to create “an early warning system” empowered with deep learning and pattern recognition algorithms. With this system, you can analyze all the information related to power quality, and detect and classify deviations from the norm appearing in power grids quickly and accurately. Once the deviation is classified, it is possible to determine its causes and take measures to prevent it, avoiding downtimes and production losses. Energy PreservationEnergy is an asset that is not going to last forever. Many advancements in technology have given way to additional, renewable, and reusable energy resources, but still, there is a big need to preserve the limited energy we have. Big Data can be utilized to better preserve the vital energy resources. This is a global issue, and few countries are not self-sufficient in producing energy. So analytics is been applied by various international governments to find different effective ways to preserve energy as well as invent new ways to produce. Big Data and Cheaper Energy Combining Big Data and data analytics with low-cost energy solutions, according to CitiBank, might eventually lead to free energy. Utilities can provide cheaper power by better matching energy supply and demand. But this is just the beginning. The idea behind free energy is to allow users to store surplus energy and then sell it back to the grid, basically recycling energy. Another custom software development technology to anticipate is virtual power stations. The technology connects energy storage devices and controls them from a single, digital place. Although free energy is still a long way off, one thing is certain. The price of power generation and consumption is being driven down through Big Data analytics! Customer Experience & More Engagement An information-driven and customer-centric business is no longer an option for energy companies, it is a business imperative. Rapid technology shifts, government policy changes, and empowered customers are primary drivers for the new approach to Customer Engagement. With the use of analytics, energy companies can make the shift to engage with customers in highly personalized environments which can increase customer satisfaction, promote new products and lower the service cost. Conclusion
Many electric utility companies have already started implementing big data analysis because of the benefits that predictive maintenance, power quality monitoring, and load control are capable of bringing to the energy software development company in Toronto. The usage cases that were listed in this article are not all-inclusive.
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The mobile app business is growing by leaps and bounds in our fast-paced world. So, mobile marketing strategies are becoming increasingly competitive. App developers today must be careful about building mobile apps to keep their apps visible in such a competitive landscape. Also, app stores, advertising within apps, and full-stack mobile app development agencies are expected to bring in $693 billion for mobile apps in 2021. Also, workplace mobility is expected to be worth $510.39 billion by 2022. In this blog, I answer all these questions and more as I explain what lies behind each of the three main stages of mobile application design. Business Analysis At the initial stage of development of any mobile application, you have to determine the platform which the application is needed to work (Android or iOS or both), the development scheme, and the functional requisites. Even though this might seem too advanced for a start, this may even get harder according to the further decisions taken. To make it easier, it is recommended to get assistance from a professional business analyst who concentrates on mobile development for making calculations and to make a confident choice. To choose a platform, first you must define your target audience and analyze their platform preferences, which vary depending on geography and income. UX DesignWhen you’ve defined the functional requirements of your future app, your vendor of choice can proceed to the actual design action. The first stage is user experience design that is usually performed by a UX expert in cooperation with a business analyst. The team works to create fictional profiles of your mobile app’s future users and their interaction patterns with the application. Although it depends on the functionality of your app, As a mobile app development company in Toronto, we at I Can Infotech have witnessed a significant rise in the demand for mobile app development. UI Design PrototypingPrototypes are a close representation of what the final product will look like, usually without code. They include the majority of the final UI design and interaction that will be present in the finished product. Prototyping is one of the most effective tools in a UX designer’s arsenal. User interface designers work on the basis of UX wireframes, which are typically monochromatic schemes. They transform the lo-fi wireframes into a colorful, hi-fi digital prototype by combining your company’s brand book, platform-specific guidelines (the most important of which are Google’s Material Design and/or Apple’s Human Interface) and the most recent mobile design trends. If you have one already, if you already have a web application with a similar functionality pack, UI designers ensure that the look of the mobile app matches that of the web app. Conclusion
Designing a mobile app is an ongoing process that will continue after the first launch as you get feedback from users and add more features. if you have any requirements then contact us. Each project has details that can raise questions and force you to make more decisions. Using these three steps in the mobile app design process will ensure that your app is built and released successfully. People looking for the ecommerce mobile app development company, I Can Infotech is the home to the most skilled and experienced developers that build highly immaculate applications. Mobile app development is constantly evolving, with new technologies and frameworks emerging every year. With various solutions on the market, it's often difficult to choose between them. You might have heard about the long-standing "native versus cross-platform" debate. Therefore, if you want faster and hassle-free development, then get aboard an excellent mobile application development company in Toronto, Canada. Choosing one or the other has long-term implications in terms of cost, time, and functionality. In this blog, we’ll explore both options and weigh the pros and cons of each. What is Native App DevelopmentThe term native app development refers to building a mobile app exclusively for a single platform. The app is built with programming languages and tools that are specific to a single platform. For example, you can develop a native Android app with Java or Kotlin and choose Swift and Objective-C for iOS apps. Native apps are known to deliver exceptional user experience as they are generally high-performance. User experience is also enhanced as the visuals are tailored to the platform's UX. However, startups are concerned about the high cost of native app development as they need to run concurrent development for both platforms. Advantages of Native App Development1. High Speed and StabilitySince developers can fully leverage the benefits of a specific platform and don't have to write complex code like their counterparts, native apps are comparatively faster and more stable. Since they're cost-effective and highly performative, startups usually prefer native apps. 2. Reliability and SecuritySecurity risks of native apps are relatively a lot lower than cross-platforms or hybrid apps. As native app development involves a few technologies, layers, and languages, vulnerabilities are less likely to slide in. 3. Quick App Release ProcessThe features of a native app seamlessly fulfill its requirements, and that's why you can publish your app in the Play and App Stores in the simplest way. 4. Offline FunctionalityOne of the greatest advantages of native apps is that they can work perfectly even without a mobile network. Your users can enjoy extra convenience through this feature as they can access app functionalities in an offline environment or during airplane mode. Even if someone is living in a remote area or has limited data, native apps can be of great benefit to them. Disadvantages of Native App Development Although native app development has an extensive list of perks, it has its downsides as well. Have a look at the critical ones: 1. Increased Development CostSince native app development involves only one single platform, you need to make a choice: do you want to expand releases for a little easier spending, or do you want to pay for multi-platform development at a single run? Compared to cross-platform app development, the overall expense of native app development would be around 30-40% more. So, choose carefully. 2. Separate Code BaseSince Android and iOS are different platforms, you need to have a separate code base and maintain the code quality and coding standards for each. Your developers should be ready to implement each functionality of the app twice, as well as the necessary tools and development procedures. 3. Longer Time to MarketDeveloping a native app is usually time-consuming. Hence, you must plan for a longer lead time to develop and test your app before releasing it to the market. Also, you need to hire different teams to build an app and ensure its smooth functionality across different operating systems. What is Cross-Platform App DevelopmentIn a layperson’s language, cross-platform app development enables an application to function in various computing platforms. However, in technical terms, one can say that cross-platform app development involves developing one code base to create two applications for Android and iOS. Pros Of Cross-Platform App Development Less Costly Instead of having two teams of developers, you’ll need only one to create a cross-platform app. Therefore, you’ll save on the development cost. Faster Development Only a single cycle of development is needed to create an app that runs on multiple platforms. Single Code Base As the app is created with a single cross-platform development tool, only one code base is created. Cons Of Cross-Platform App Development Slower AppThe need for an additional abstraction layer and rendering process makes the cross-platform app slower than its native counterpart. Limited Functionality Developers may have difficulty accessing smartphone functionalities like the microphone, camera, and geolocation in ways possible for a native app. Limited UX Cross-platform apps are unable to take advantage of native UX components. Therefore, it can’t deliver the same UX experience that is accustomed to the platform. What to Consider When Selecting Right Approach To be sure that your decision is right, it is recommended to bear in mind several factors. First of all, you need to decide on the type of app you want to develop. It means that your team should be prepared for a large amount of programming as well as the participants of a project have to determine different features and aspects of mobile app development, including UX design, UI flexibility, memory and CPU efficiency, animation, cross-platform responsiveness if needed, and so on. It is also vital to decide how to implement augmented reality (AR), allow access to camera or GPS location, and add other special features that you want. Besides that, you need to think about your end-users. Depending on the audience you want to cover, your team will have to implement different features, and thus, it will influence your choice of the development approach. For example, if you want to make your app user-friendly for those with disabilities, you will require additional resources during the development process. Summing Up
I hope this blog provides you with the needed background information and helps you establish a discourse in a language understood by both your developers and customers. Discuss with your project team and make the ultimate decision only after that. Artificial Intelligence has facilitated the processing of a large amount of data and its use in the industry. The number of tools and frameworks available to data scientists and developers has increased with the growth of AI and ML. The rise of Artificial Intelligence has helped simplify the world around us. No longer a subject matter of science fiction, AI is the truth behind the digital revolution of the 21st century. While AI applications have found their place across various industrial sectors, it has also given rise to a number of AI tools and frameworks. Just as AI applications help simplify our lives, AI tools and frameworks help simplify the task of a developer. |