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Top 5 Mobile App Development Trends For 2023

Small screens are driving the World. Mobile Phones have transformed to “Smart Phones'' with the passing of time and amplifying tech innovations. Previously only simple applications like calculators, calendars, notes, and the like were embedded inside a phone, but now there are more elaborate applications that affect the enhancement of human life in all aspects. Mobile Applications of today are more interactive and packed with values. Since the Digital Revolution began, companies have found profit, bottling their values and services into compact mobile applications that can cover any Human interests from Education, Entertainment, Health, Wellness, E-commerce, Dating, Banking, and much more. The list keeps going on as mobile applications keep revamping with new Technology trends. 5 Latest trends that will be affecting Mobile App Development in 20235GInternet connectivity initiated the global digital revolution. It served as a base that linked people with Mobile and Web Applications and expanded their scope.The 5th generation of internet connectivity has been a trending subject of tech news, as this innovation is finally being released globally. 5G has enormous power to shift the trends of mobile application development. It is expected to be about a 100 times faster than today’s 4G internet connectivity, thus providing high bandwidth, high connection density, and extremely low latency. It will affect the precision of geolocation services and also extend the battery life of smartphones.This innovation will affect the enhancement of functionality of Mobile Applications as it provides a beneficial base to run them and sharpen other existing tech services that support Mobile Apps.5G subscriptions are predicted to reach 1,900 million by 2024. (Statista; Liftoff, 2020) and 20% of the world’s population will be using the 5G network by 2025 (Statista; Liftoff, 2020)Progressive Web Apps and On-demand AppsProgressive applications are Websites that behave like Applications. These are a hybrid between Websites and Apps and are more efficient than traditional Apps.These apps can be accessed by any web browser and save time by removing the installation process. They are fast, reliable, and engage more users, serving as a perfect base for businesses to launch their ideas into the Market. Packed with features but lightweight at the same time, they can run on weaker internet servers, save storage, and have a short loading time. These apps are generating more benefits for E-commerce businesses. On-demand Applications have gained a popular status in the current lifestyle of people around the Globe. These applications connect customers with different service providers and act as mediators between small businesses and their potential clients. The Number of On-demand Applications is predicted to increase with the upcoming years.Edge ComputingData in the current age is the most important driving factor behind all businesses. Edge Computing is the updated form of the Cloud, and instead of Centralizing data, unlike Cloud, this framework brings the Applications close to the data sources.Processing of data at the edge can generate business benefits like improving bandwidth and response time and enhancing insights, which in the long run can deliver unique Human experiences. The most important aspect of Edge is the assurance of security while transporting and processing Sensitive Data. Due to an increased risk of Cyber breaches, the inevitable demand for Data Security is well satisfied by Edge Computing. Applications that are backed up by robust Edge Computing services have the ability to drive and operate heavy IoT innovations, like self-driving cars and Automated Home Appliances. Cloud-based applications are more convenient to use, manageable, scaleable, and increase client reach. The market value of mobile edge computing is expected to reach $2.8 billion in 2027. (Meticulous Research, 2021)IoTs and Responsive DesignsWith the invention of the Internet, the world became a connected place. After connecting people, the Internet now aims to connect devices and ‘things’. Internet of Things or “IoTs” are objects with facilities like sensors, processing ability, software, and other technologies that connect them with the Internet and help them exchange Data with other devices.IoTs are mostly operated by Mobile Applications. Their unique no-touch interface can be controlled directly by smartphones. This Market is amplifying in its scope determining the future of mobile apps and is estimated to reach $1.6 trillion by 2025. - apexon.comAnother result of technology innovation is the wide manufacturing of wearable devices like smartwatches and smart glasses. Wearable Devices are prominently adopting wellness applications that monitor the overall health of the user hence newer scope of mobile Application design and development are rising.A transformation of structure of the existing device framework has also affected application development. With new foldable devices emerging, an app needs to be designed in a way that it can function with full potentiality in all types of interfaces. A responsive design thus needs to be followed while creating and shaping Mobile Applications. Technology Innovations  With all these factors influencing Mobile App development, a new series of fresh technologies have also been shaping the future of Smartphone Apps. Beacon Technology This technology was initiated in 2013, but just recently, it has been recognized as a strong potential tool for marketing. Beacons are small wireless transmitters that send signals to other smart devices by using low-energy BlueTooth technology. These signals contain data that can be turned into actions after being received and read by the smart devices. This technology carries a huge scope to improve geolocation and marketing services. Applications that incorporate the Beacon technology have a greater chance to increase user interaction and ultimately enhance the user experience of the related brand.   The market value of Beacon technology is predicted to reach $55,554 million by 2026, Worldwide. (Statista, 2020)Machine LearningFrom virtual voice assistants to chatbots and driverless Ubers, Artificial Intelligence has undergone a lot of development. It is considered to be an essential tool in developing seamless Mobile Applications, minimizing development time, and cutting down human programming errors.It can perform a wide series of tasks like analyzing data and creating design deliverables, UX designers use AI to improve the UX design process and enhance the user experience.Here is how Artificial Intelligence shapes Application Development- Data analysis - Power algorithms are constantly analyzing huge amounts of data and using the trends to predict what the User is looking for in a particular application. AI makes it easier to narrowly target users across extensive channels. Chatbots and virtual assistants - These AI assets make it easier to find information and resources quickly and efficiently, through human-like conversations. Chatbots have become an integral part of most online business presence, thus providing dynamic customer experiences.Virtual RealityVirtual Reality and Augmented Realities are the trendiest subjects of tech enhancement. These two technologies are redefining the nature of Reality. Applications, mostly E-commerce apps have been using them to deliver a more unique user experience. Newer experiences can be created by implementing these technologies that help in generating more application users. With everyone carrying a Smartphone in their pockets, Companies have diverted their market to the Digital Space which is perceivable by anyone holding these small screens. Mobile Applications have gained enormous popularity and are the virtual platforms of Global enterprises. Thus with changing trends, mobile applications whether it's Android or ios are likely to change in order to create newer experiences and adjust to new user requirements. Technology innovations are driving Mobile applications, influencing their Performance and Designs. BlockchainBlockchain is termed to be the most secure technology for Data protection and hence it can be operated into a number of applications from Healthcare to Banking. Its unique approach to decentralization of data removes most risks of Data breaches and thus the Applications that deal with a lot of sensitive data flow can implement the Blockchain Technology to avail maximum security. Want to know more about Mobile Application development like for e-commerce , food delivery, grocery, and more? Connect with Sundew.

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The Role of Technology in Manufacturing: Building a Sustainable Future

“Sustainability” has become a buzzword for customers, governments, and businesses alike, as they swiftly implement the latest technology in manufacturing. Jumping onto the wagon are manufacturers too.A top priority while rethinking the traditional manufacturing processes is decarbonization. It is key to rethinking manufacturing, requiring optimized processes, reduced waste, and eco-friendly materials to achieve net-zero goals.So, what green manufacturing technologies can companies adopt to achieve their sustainability goals? And, how are these innovations benefiting the global landscape?Let’s find out.Addressing Key Challenges in the Manufacturing SectorGrowing Cybersecurity RisksAs manufacturing processes become more interconnected and data-driven, the sector faces escalating cyber threats, surpassing even finance and insurance in the share of global cyberattacks. The integration of IoT, robotics, AI, and autonomous machines has further expanded the attack surface, raising concerns about data security and potential operational disruptions. Key threats include:Phishing Attacks: Malicious emails or fake websites corrupt systems, stealing business data for financial gain.Ransomware: Encrypts files, rendering networks inoperable until demands are met, with threats of data leaks.Supply Chain Attacks: Exploits weak links in partners' systems, impacting operations across the supply chain.IP Theft: Silent harvesting of intellectual property that can lead to stolen or altered data.Outdated InfrastructureManufacturers must address the challenge of outdated, rigid infrastructures that are often incompatible with modern technologies. Digital transformation requires a comprehensive organizational shift, starting with:Training in robotic operationsFlexible production line configurationsCloud-based resource planningAt the same time, establishing a carbon footprint baseline is crucial for sustainability. While manufacturers often measure direct energy usage, accounting for indirect emissions is challenging. Automation, cloud computing, and data analytics can help by recording and reporting environmental impact, but many companies still rely on outdated, disconnected systems.Transitioning to Agile Manufacturing ModelsTraditionally, manufacturing stages operated in isolation, causing issues like heavy inventories, wasted hours, and increased costs due to a lack of integration. Emerging technology models, by contrast, are agile and flexible, enabling rapid adaptation to changing demands.However, adopting this model requires:End-to-end supply chain integrationEfficiency and agility across all stages, including suppliersOpen, fast communication within the organizationThese shifts demand a new mindset on the assembly line. However, they are often met with resistance from labor and middle management, who may question whether the new approach truly outperforms the traditional model.Knowledge Gap in Manufacturing DigitizationOne of the biggest challenges in manufacturing digitization is the limited expertise needed to safely implement advanced technologies. Manufacturers must invest in learning to use tools like advanced analytics, AI, machine learning, digital twins, and automation. Without this knowledge, progress can stall.For companies without in-house tech teams, outsourcing can ease the adoption process. The process can be further simplified with expert partners like Sundew offering strategic guidance and simplifying the transformation journey.Human ErrorsHuman errors are one of the most common challenges in manufacturing digitization, affecting safety, quality, and cybersecurity. For example, employees may incorrectly configure machines, disclose sensitive information, mishandle equipment, or open unknown attachments. Additionally, new processes can increase the risk of human error, especially if employees are resistant to change. To address this, it’s important to highlight the benefits of digitization, empowering employees to identify areas for adaptation and improvement rather than imposing change.How to Use Technology in Manufacturing for Sustainable Growth?As environmental awareness rises, consumers are increasingly seeking ways to reduce their impact. Governments and global organizations are also introducing regulations to ensure manufacturers adopt greener practices.So, how is technology used in manufacturing to promote more sustainable outcomes?Here are some key technologies that businesses must implement to stay compliant and future-proof.Artificial Intelligence (AI) AI is transforming production efficiency across industries, and its impact on sustainability is equally profound.For manufacturers, AI integration stands primary in meeting 79% of sustainable development goals. This can be done through robotics, machine learning, or advanced data systems.Beyond environmental benefits, AI offers manufacturers and their clients substantial business advantages. By leveraging AI-driven insights, companies can enhance product quality, reduce defects, and minimize downtime from equipment inefficiencies. The result? Reduced waste, energy savings, and timely delivery of superior products to customers.Big Data and AnalyticsBig data is another technology in manufacturing that enhances both sustainability and productivity. Advanced big data & analytics systems are transforming how businesses monitor supply chains, predict customer demand, plan operational capacity, and assess environmental impact. With up to 2,000 pieces of equipment on a single production line, each equipped with 100-200 sensors collecting data every second, the potential for manufacturers is immense. This data enables accurate emissions reporting and rapid identification of efficiency challenges.Moreover, data sharing promotes innovative collaboration, allowing companies to pool resources, fill capability gaps, and access new markets. For example, integrating insurance underwriters and telecommunications providers can deliver microinsurance via mobile subscriptions to underserved populations. By harnessing big data, manufacturers can drive sustainable growth while addressing social and environmental issues.Industrial Internet of Things (IIoT)Equipping production systems with intelligent technologies allows manufacturers to enhance efficiency and safety, and minimize downtime. A recent ABB survey found that IIoT integration has helped 94% of manufacturers see significant improvements in sustainability.By connecting machines, manufacturers can monitor performance in real-time, swiftly addressing inefficiencies and preventing costly downtime and waste. Sensors track carbon emissions, providing visibility and traceable metrics for regulation compliance.Additionally, enhanced waste traceability offers deeper insights into waste management systems. Ultimately, connecting intelligent machines provides actionable data that helps businesses meet compliance standards. This approach also facilitates more sustainable operations and supply chains.Enterprise Resource Planning (ERP) SoftwareERP systems integrate all major business functions - from accounts and procurement to operations - by collecting and sharing data across the organization. This comprehensive overview helps manufacturers meet compliance standards and achieve end-to-end efficiency.By providing insights into energy and material consumption, ERPs enable executives to identify opportunities for waste reduction and efficiency gains. They also facilitate accurate carbon impact estimates, pinpointing areas for minimizing greenhouse gas emissions and driving sustainability.Benefits of Digital Technology in ManufacturingImplementing the latest technology in manufacturing companies offers transformative advantages at every stage of the production process. These include the following.Environmental ConservationAdvanced technologies significantly reduce energy consumption, emissions, and waste, leading to a smaller environmental footprint. By embracing eco-friendly practices, manufacturers help preserve natural resources and address climate change.Cost SavingsInvesting in sustainable technologies often results in long-term cost savings. Energy-efficient machinery lowers utility bills, while waste reduction strategies minimize disposal costs, enhancing overall operational efficiency.Market CompetitivenessAdopting green manufacturing practices provides a competitive edge as consumers increasingly favor eco-friendly products. This commitment enhances brand reputation and attracts environmentally conscious consumers and talent.Regulatory ComplianceWith stricter environmental regulations, new technology in the manufacturing industry enables companies to meet compliance standards effectively. This proactive approach mitigates legal risks and builds trust among stakeholders.Increased ProductivityTechnologies like additive manufacturing and AI enhance operational efficiency, resulting in higher-quality products and faster response times to market demands. This, in turn, significantly boosts productivity.Improved Worker SafetyAutomation and robotics reduce human exposure to hazards on the production line. Remote monitoring allows workers to focus on complex tasks, enhancing safety and overall well-being.Greater ResilienceAdvanced digital technology in manufacturing promotes enhanced agility in the face of challenges. Companies that leverage these innovations often outperform competitors and adapt better to market changes.Enhanced ProfitabilityAs eco-conscious consumers prioritize sustainability, businesses aligning with these values can achieve greater market success. Technology helps navigate stricter regulations, ensuring profitability while appealing to a conscientious audience.Achieving net zero will require reimagining entire ecosystems— using AI integration, IoT, and big data to optimize processes, cut waste, and boost efficiency.While the challenges may seem daunting, companies worldwide are introducing innovative solutions aimed at preserving the planet for future generations. While addressing the environmental impact of industrialization is a complex and gradual process, it is undoubtedly achievable. Technology in manufacturing plays a pivotal role in this transformation, delivering scalable and impactful solutions to build a more sustainable future.

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Extract Actionable Insights from Raw Data using Power BI

In today's data-driven world, businesses generate raw data every day. However, only raw data is not enough to generate actionable insights that can be used to make strategic decisions. Microsoft Power BI is a Business intelligence tool that converts raw data into valuable insights.The Power of Data: Why Insights MatterBoth extracted oil and newly generated data make sense and its true value is only revealed after it has been refined. The refinement process enables businesses to turn raw data into insights that can inform decisions, forecast trends, and optimize operations. Businesses may lose the opportunity to benefit from data unless they are equipped with the right tools and strategies.Overview of Power BIMicrosoft Power BI is a business Intelligence tool which enables organizations to generate actionable insights by data analysis. Here Power BI can connect to various types of data sources, e.g. databases, flat files, spreadsheets, and cloud-based or on-premises data warehouses, which allows businesses to analyze and visualize data in the real time.The Process for Generating Actionable Insights using Power BI:Data Collection and ConnectionThis is the first step, where Power BI connects to various data sources, including databases, flat files, and cloud data stores like AWS and Azure. This seamless connectivity across multiple sources allows businesses to manage and derive insights from a centralized location, making the entire process more efficient.Data Cleaning and TransformationAfter collecting the data, the next step is to clean and transform it. The power query editor comes with Power BI by default which is a User-friendly interface that simplifies data transformation tasks, including filtering, sorting, managing datatypes, handling nulls and removing duplicates. The main objective of this step is to maintain data quality on the report side, which is the key to obtaining trustworthy insights.Data ModellingThe modelling section on the Power BI desktop allows to create the models and helps to manage relationships between different datasets. Data modelling involves organizing data to make it easier to explore and analyze. Power BI provides multiple options like Many-to-Many, One-to-Many, and One-to-One cross-functional joining and active-inactive relations. It also allows users to select the direction of data flow, this combination is an added advantage when need to work with large datasets and have multiple dependencies.Data VisualizationAfter modelling, the next step is visualization. Power BI has many prebuilt visuals, from bar charts to complex heat maps, and also supports custom visuals which is again an added advantage. These visualizations present insights and aggregated values in various formats, allowing business stakeholders to quickly grasp key insights.Dashboards and ReportsPower BI allows to produce of interactive dashboards and paginated reports that give a complete view of business. These customizable dashboards support scale options, with the capability to drill down into details as demanded by subcaste. Power BI reports' interactivity empowers druggies to explore data from multiple angles, revealing retired patterns and trends.Interactive Dashboards and ReportsPower BI allows to produce of interactive dashboards and paginated reports that give a complete view of business. These customizable dashboards support scale options, with the capability to drill down into details as demanded by subcaste. The interactivity of Power BI reports enables druggies to explore data from different angles, uncovering retired patterns and trends.Real-World Applications: Case StudiesRetail IndustriesA large retail company encountered difficulties in monitoring its sales performance across multiple locations and product line. Apart from this, they are lagging in optimizing the operations, where integration of Power BI Reports helps to grab data from various sources and summarize it for the business users. Power BI enabled the company to clean and transform data at no extra cost and provided real-time insights about sales performance, present stock levels, and transportation details. Apart from that by understanding top-selling products, identifying underperforming regions, and tracking sales trends over time metrics, the company can make data-driven decisions, such as marketing strategies, and maintain inventory levels, resulting in a significant increase in sales and customer satisfaction.Insurance CompanyAn Insurance Provider needs to improve their customer service and operational efficiency by analyzing the vast amounts of data.  A company faces difficulties due to the volume of the data while identifying trends and areas of problem. Here Power BI can connect and consolidate customer service calls, requests, and maintenance records from various sources, including CRM systems, service databases, and maintenance logs.With Power BI’s data modelling features, the company created relationships between customer demographics, service request types, response times, and service outcomes. This allowed them to gain a holistic view of operations and customer interactions including customer service performance, identifying patterns in service delays, recurring maintenance issues, and customer satisfaction levels.Conclusion: Empowering Businesses with Data-Driven InsightsPower BI's intuitive interface, advanced data processing features, and diverse visualization options make it a critical asset for organizations aiming to leverage their data effectively. By utilizing Power BI, businesses can transform their data into a strategic advantage, facilitating smarter decision-making and driving overall success.