Top 5 Applications of AI and Data Science in EnergyTech

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Top 6 Mobile App Development Frameworks Ruling the Market in 2025

As we move through 2025, the demand for flexible, high-performance apps continues to grow. Following in the footsteps is the number of mobile application development frameworks designed to meet that need. These powerful toolkits simplify and speed up app creation by offering pre-built components, code reusability, and support for both iOS and Android. From hybrid solutions to cross-platform powerhouses, the options are vast. However, with so many options at disposal, investing in the right one is key to building fast, scalable apps that drive engagement, without blowing up budgets.Let’s explore the top contenders for mobile app development frameworks leading the charge this year and why they’re worth your attention.What are the 3 types of mobile application development frameworks?Here is a categorized list of mobile application development frameworks based on their different technologies and usability.Native AppsNative apps are built specifically for a particular platform or operating system. They don’t involve “frameworks” in the same way as cross-platform apps do. Instead, they rely on platform-specific languages like Swift for iOS and Kotlin for Android. These are used along with the respective SDKs and development environments provided by Apple and Google. Built for: Single-platform compatibility using respective codebase.User Experience: Offers the best performance and deep integration with platform-specific guidelines.Pros: - Superior performance and reliability.- Full access to device hardware and OS features.- Better security and offline capabilities.Cons: - Higher development cost and time.- Requires separate codebases for iOS and Android.- Regular updates are needed for OS changes.Web-Native or Cross-Platform AppsThis is where actual frameworks come into play. Cross-platform mobile apps use frameworks that allow a near-native experience while enabling compatibility across multiple platforms from a single codebase. The most notable among these are Flutter and React Native.Built for: iOS, Android, and sometimes web/desktop.User Experience: Near-native performance with adaptive UI.Pros: - Code reusability across platforms saves time and cost.- Access to native components for better performance.- Large developer communities and support.Cons:- Some limitations in accessing deep native features- Dependency on third-party libraries.Hybrid AppsHybrid mobile application development frameworks like Ionic and Apache Cordova use a single codebase and run inside a WebView container, but function like native apps.Built for: Multiple platforms using a single codebase.User Experience: Good but often lacks native performance and fluidity.Pros: - Faster development and lower cost compared to native apps.- Easier maintenance with a single codebase.- Can access some native device features via pluginsCons: - Slower than native apps- Limited access to native features- Potential UI inconsistencies6 Popular Mobile App Development Frameworks in 2025If you are wondering which framework is best for iOS development or Android development, here are 6 top options to ease your doubt:FlutterFlutter is a top choice among mobile application development frameworks today due to its robust nature. It allows developers to build high-performance applications for multiple platforms using a single codebase. Since its release by Google in 2017, Flutter has gained popularity among businesses and developers. This is because it uses Dart, a programming language from Google designed for efficiency and flexibility in UI development.Flutter has become a popular choice for businesses and developers. Its ability to create seamless user experiences across iOS, Android, web, and desktop applications makes it a versatile framework.Key Features of Flutter:Hot Reload: Enables developers to see changes instantly without recompiling, significantly speeding up development.Material Design Support: Provides access to Google’s design system, making it easier to create visually appealing and user-friendly interfaces.Own Rendering Engine: Unlike many frameworks that rely on web technologies, Flutter has its own rendering engine, ensuring smooth performance across platforms.Multi-Platform Support: Flutter applications run efficiently on iOS, Android, web, and desktop without requiring separate codebases.Notable applications: eBay, Alibaba, Google Pay, and ByteDance.React NativeReact Native is a powerful open-source framework that enables developers to create high-performance mobile applications using JavaScript. Developed by Meta (formerly Facebook) in 2015, it has become a preferred choice for enterprises. Many rely on it to build scalable, cross-platform mobile applications with near-native performance. React Native leverages the same React library used for web development. This allows businesses to streamline development processes while ensuring a seamless user experience across both iOS and Android.Key Features of React Native:Fast Refresh: Allows developers to see UI updates instantly, speeding up the development process.Optimized for UI: Uses native UI components, ensuring smooth performance and a high-quality user experience.Integration with Flipper: A built-in mobile app debugging tool that offers features like a log viewer, interactive layout inspector, and network inspector for easier troubleshooting.Large Developer Community: A strong and active community continuously contributes to improvements, provides support, and shares technical expertise.Notable applications: Microsoft Office, Skype, Facebook, Instagram, and Xbox Game Pass. XamarinAnother of the cross-platform mobile app development frameworks worth mentioning is Xamarin. Developed by Microsoft, Xamarin allows developers to build native Android, iOS, and Windows applications using a shared C# codebase within the .NET ecosystem.It streamlines development with seamless Visual Studio integration and access to native APIs, helping businesses deliver high-quality apps faster and more cost-effectively. Used by around 8% of global developers, Xamarin is ideal for projects aiming to maximize code reuse without compromising on performance or user experience.Key Features of Xamarin:Unified Codebase: Enables development across Android, iOS, and Windows using a single C# codebase, minimizing duplication. Native Performance: Provides direct access to native APIs and UI components, ensuring a true native look and feel. Visual Studio Integration: Allows seamless integration with Microsoft’s Visual Studio, streamlining project management and deployment. Comprehensive Toolset: Developers can benefit from built-in emulators, SDK managers, diagnostics, and pattern-based libraries. Accelerated Development: Reduced code volume and efficient scripting contribute to faster development cycles. Backend Compatibility: Supports smooth integration with RESTful APIs, cloud platforms, and backend systems. Some notable applications built with Xamarin include The World Bank, BBC Good Food, Alaska Airlines, FreshDirect, and MRW Courier.IonicIonic is a popular open-source hybrid framework that enables efficient cross-platform mobile app development using web technologies like HTML, CSS, and JavaScript. Launched by Drifty Co. in 2013, it supports Angular, TypeScript, and plugins like Capacitor and Cordova to access native device features.Ideal for building hybrid and progressive web apps, Ionic offers fast development cycles, consistent UI across platforms, and compatibility with Android, iOS, and Windows, making it a top choice for scalable mobile app solutions.Key Features of Ionic:Single Codebase Support: Build applications for Android, iOS, and Windows using one HTML/CSS/JavaScript codebase. Intuitive UI Components: Includes pre-built forms, navigation menus, and action sheets to speed up development and ensure design consistency. Access to Native Features: Leverage Capacitor or Cordova plugins to integrate device-level functionality like camera, GPS, or push notifications. Angular Integration: Offers built-in support for Angular, enhancing development with powerful tooling and structure. Performance Optimized: Minimal use of DOM and efficient rendering contribute to smooth, high-performance apps. Developer-Friendly Tools: Includes CLI for app generation and management, plus support for custom animations and transitions.JustWatch, McDonald’s Turkey App, TD Ameritrade, Honeyfi, Sworkit, Diesel, MarketWatch are some of the popular apps built with Ionic.Apache CordovaApache Cordova, formerly known as PhoneGap, is a popular open-source framework for building cross-platform mobile apps using HTML5, CSS3, and JavaScript. Known for its simplicity and developer-friendly environment, it enables native-like experiences without platform-specific code.With a single codebase and a wide range of plugins, Cordova offers access to device features like the camera and GPS. Its fast development cycle and support for third-party tools make it ideal for businesses seeking quick, efficient app deployment.Key Features of Apache Cordova:Single Codebase: Enables cross-platform development with one codebase written in HTML, CSS, and JavaScript. Native Plugin Support: Offers plugins for accessing device features like the camera, GPS, accelerometer, and more. Fast Development Cycle: Simplifies the build process for faster delivery and reduced time-to-market. Third-Party Tool Integration: Supports external app management and deployment tools to streamline operations. Open-Source & Community Driven: Backed by the Apache Software Foundation with a strong community of contributors.Notable Applications Built with Cordova:Adobe’s PhoneGap Developer App, FanReact, JustWatch (early versions), TripCaseSwifticDesigned for ease of use, Swiftic is a no-code mobile app development framework that helps businesses, especially small ones, to create mobile applications from websites or social media pages into iOS apps without technical expertise. Developed by Como DIY in 2014, it offers tools for app promotion, customer engagement, and monetization. Its features include loyalty cards, push notifications, and in-app coupons.With seamless third-party integrations and app publication support, Swiftic ensures a smooth experience.Key Features of Swiftic:No-Code Interface: Intuitive drag-and-drop tools for non-developers. Third-Party Integration: Easy integration with payment systems, analytics, and engagement platforms. In-App Engagement Tools: Push notifications, loyalty cards, coupons, scratch cards, and more. Social Media & Feeds: Integration with real-time social media feeds. App Promotion & Support: Tools for publishing, marketing, and analyzing app performance. Customer-Centric Design: Direct communication and engagement features for users within the app.Notable Applications Built with Swiftic:Spa Cafe, Muve Magazine, The Gentlemen’s Barber, The Clubhouse, Remix Coffee Co, Mt. Royal Bagel CoWhich Is the Best Mobile Application Development Framework in 2025?How to Choose the Best Framework for Mobile App Development?With countless mobile application development frameworks available, choosing the right one can be overwhelming. Each has unique strengths and limitations, making it essential to align your choice with business goals, team expertise, and user needs. Here’s how you can make an informed decision.1. Assess Your Team’s ExpertiseChoose a framework aligned with your team's programming skills to reduce the learning curve. If your team is proficient in JavaScript, for instance, React Native might be a natural choice.2. Evaluate Vendor SupportOpt for frameworks backed by reliable companies and active communities to ensure long-term stability, regular updates, and ongoing support.3. Prioritize UI and Customization FlexibilityUI customization is crucial for any successful app development for mobile. Consider how easily the framework allows you to tailor your online brand design and maintain visual consistency across devices.4. Consider the Framework’s Maturity and StabilitySelect a stable, well-maintained framework with predictable update cycles to minimize disruptions and ensure smoother development.5. Analyze Framework Capabilities and ToolingEvery framework offers unique capabilities. Review code-sharing options, debugging tools, and testing support. Choosing a framework with strong tooling and support will make the development process more efficient.6. Focus on Security FeaturesEnsure the framework includes built-in security features to protect sensitive data and is regularly updated to address vulnerabilities.7. Check Availability of Learning ResourcesFrameworks with strong documentation, tutorials, and developer communities help accelerate onboarding and troubleshooting.Final Thoughts on The Right Framework for Your BusinessChoosing the best mobile application development framework and tools is key to building scalable, secure, and high-performing applications while avoiding costly inefficiencies. Mobile application development frameworks like Flutter and React Native are leading the way in cross-platform development. With these tools, businesses can create robust, adaptable applications that stand out in a competitive market. Beyond framework selection, optimizing user experience with GPU-accelerated rendering, seamless animations, and fast load times enhances performance. Integrating AI, cloud-native technologies, and scalable backend solutions further future-proofs mobile apps, ensuring they remain efficient and adaptable across iOS and Android.As mobile ecosystems evolve, so do the tools that power them. now is the right time to evaluate the most effective frameworks for their app development initiatives. The options outlined above represent some of the most powerful and reliable choices available today.For organizations with a clear app vision, this is an ideal moment to move forward with development. The right framework can help deliver seamless performance, scalability, and user engagement—tailored to specific business goals.To explore how mobile solutions can elevate your operations or customer experience, connect with a technology partner. Choose one equipped to align development strategies with long-term success.

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Data Analytics in Insurance Sector: Use Cases and Implementation

The traditional insurance industry, once anchored in manual processes, is swiftly being outpaced by technological advancements, making way for data analytics in insurance sector. With more consumers flocking to digital platforms and data growing exponentially, the pressure to stay ahead is mounting. Insurers who fail to adopt data analytics risk falling behind, while those who embrace it gain a significant edge.Integrating data analytics allows insurers to gain clearer insights, enhance decision-making, and improve overall efficiency. While the transition may seem complex, adopting the right tools and strategies makes it both achievable and rewarding.By understanding its value and implementing the right strategies, insurers can utilize analytics to optimize operations and mitigate risks. This enables them to stay ahead in an increasingly competitive landscape.The Importance of Data Analytics in Insurance IndustryInsurance data analytics involves gathering and analyzing vast amounts of information on policies, claims, and risk profiles to uncover meaningful patterns, trends, and anomalies. By providing deeper insights, it is revolutionizing the insurance sector, enabling smarter decision-making and greater operational efficiency. Supporting this shift, Fortune Business Insights projects that the insurance analytics market will grow from USD 14.50 billion in 2024 to USD 44.77 billion by 2032. This surge, driven by increasing adoption, represents a CAGR of 15.1%.This data-driven approach enables insurers to assess risk with greater accuracy and optimize pricing models. It also helps detect potential fraud, resulting in better outcomes for insurers, agencies, and customers alike.As the insurance landscape becomes increasingly complex, leveraging data analytics allows companies to stay competitive and meet evolving consumer demands. The answer to “What is the role of data in insurance?” lies in understanding its practical applications. Exploring the uses of data analytics in the insurance industry can help businesses realize its resultant benefits.How Is Data Analytics Used in the Insurance Industry?Data analytics in insurance sector is redefining processes by enabling more precise decision-making, enhancing operational efficiency, and improving customer satisfaction. Below are some key use cases where insurers can significantly benefit from implementing data analytics:1. Fraud Detection and PreventionFraudulent claims are a major concern for insurers. Traditional fraud detection methods can be slow and ineffective. With data analytics, insurers can:Identify anomalies in claim amounts, frequency, and patterns through predictive analytics.Leverage text mining to detect deceptive language in claim narratives.Use external data sources, like credit scores and previous claim histories, to pinpoint potentially fraudulent claims earlier.By proactively flagging suspicious claims, insurers can minimize financial losses and protect the integrity of their operations.2. Automated and Intelligent Claims ProcessingManual claims processing is time-consuming and prone to errors. Data analytics in insurance industry can streamline the process by:Automating claims validation using sophisticated algorithms that assess legitimacy instantly.Cross-referencing claims with policy records to identify discrepancies or potential fraud.Expediting settlement amounts, especially for straightforward claims.Implementing automated alerts to notify staff when follow-ups are needed, ensuring timely communication with clients regarding their claims, and addressing any concerns.Identifying opportunities for cross-selling and upselling based on claim data, boosting overall customer engagement.Automating sales reporting to track producer activities and conversions, offering insights to improve lead assignment. This is based on factors like geographic location, expertise, and potential deal value.This reduces errors, shortens claims cycle times, and allows adjusters to focus on more complex cases.3. Risk Assessment and Personalized PricingRather than applying generic pricing, insurers can leverage data analytics to create granular risk profiles based on:Historical data on claims and customer behavior.Unconventional data sources like social media activity and purchase history.This enables insurers to tailor premiums more accurately, reducing risks and offering personalized policies that meet individual customer needs.4. Customer Segmentation and Targeted MarketingCustomer segmentation helps insurers move away from treating all customers as one group. Using data analytics, insurers can:Segment by Demographics: Categorize customers based on characteristics such as age, income, lifestyle, and risk appetite.Mine Lead Generation Data: Set up reporting from the system of record to extract valuable lead generation data, revealing the customer’s journey from first contact to sale.Design Targeted Campaigns: Leverage insights from customer data to create marketing campaigns that resonate with specific segments, for example, offering digital-first auto insurance products to young urban professionals.Refine Marketing Efforts: Use the detailed customer journey data to inform and improve future marketing strategies continuously.Boost Retention: Personalize service offerings to meet the diverse needs of each segment, ultimately enhancing client retention and satisfaction.By tailoring offerings to specific segments, insurers can improve customer engagement and drive conversion rates.5. Catastrophe Modeling for Better PreparednessInsurance companies face significant risks from large-scale events like natural disasters. Data analytics in insurance sector can help:Integrate real-time environmental data, such as oceanic temperatures or deforestation rates, for better catastrophe predictions.Predict potential loss areas by analyzing urban development patterns and identifying at-risk regions.Refine pricing strategies based on more accurate risk assessments, ensuring that insurers remain financially prepared.This data-driven approach helps insurers mitigate potential losses by enabling proactive risk management.6. Loss Reserving and Claims ForecastingProper loss reserving is critical to ensuring that insurers can meet future claim obligations. With insurance data analytics, businesses can gain:Accurate loss reserving by comparing current claims with similar past cases.Dynamic reassessments of reserve levels as claims progress and new data becomes available.Improved financial forecasting to ensure sufficient liquidity while preventing over-accumulation of funds.This helps insurers maintain financial stability and minimize over-reserving, freeing up capital for other investments.7. Litigation Risk PredictionDisputed claims lead to costly litigation. By using data analytics in insurance industry, insurers can:Calculate a litigation propensity score to determine which claims are most likely to result in legal disputes.Assign high-risk cases to senior adjusters with more experience in resolving complex legal issues.Reduce legal expenses by settling claims earlier in the process.This approach helps insurers lower litigation costs and settle disputes more efficiently.8. Telematics for Smarter Auto InsuranceA key question that often arises is, “What kind of data do insurance companies use?”.A prime example is telematics in the auto insurance sector. This technology offers insurers real-time, detailed insights into driving behavior, enabling them to:Offer personalized premiums based on actual driving patterns, such as speed, braking, and mileage.Promote safer driving behaviors by offering rewards for safe drivers, which can further reduce the likelihood of accidents.Improve claims accuracy by providing real-time accident data that assists in faster claims resolution.Enhance risk assessment and provide more accurate, fair premiums.9. Subrogation OptimizationIdentifying subrogation opportunities, where insurers recover costs from responsible third parties, can be challenging due to the volume of data involved. Here, text analytics can help by:Scanning unstructured data like that in medical records to identify potential subrogation cases.Automating the identification process, ensuring that opportunities are flagged early and accurately.This allows insurers to maximize recovery and reduce claim-related expenses.10. Enhancing Settlement EfficiencyFast and fair claim settlements are key to customer satisfaction. Data analytics in insurance sector can:Optimize settlement thresholds, ensuring that claims are processed quickly while preventing overpayment.Streamline settlement for natural disasters or other large-scale events by analyzing claims data for trends and insights.Ensure fairness in settlements by providing more accurate data on claim validity.11. Underwriting Enhancement through Predictive AnalyticsTraditionally, underwriting relied on static tables and limited historical data. However, with the advent of data analytics, insurers can gain a deeper, more nuanced understanding of risk. Using advanced algorithms, insurers now analyze vast amounts of data. Its applications include both conventional sources, like police reports, and modern ones, like telematics in auto insurance. This approach helps to:Predict future risks more accurately by identifying patterns in data.Tailor premiums based on factors such as lifestyle, exercise habits, or even genetic predispositions, moving beyond basic demographic information.Enhance the overall accuracy of underwriting decisions, allowing for more personalized policies.As artificial intelligence (AI) and machine learning continue to evolve, their influence on data analytics in insurance underwriting is set to expand, further driving efficiency and precision across the process. The growing role of AI in automating insurance tasks like underwriting and claims management is reshaping the way insurers approach risk assessment, a trend that will only accelerate in the coming years.How to Successfully Implement Data Analytics in Insurance Sector?Implementing data analytics in insurance industry requires a structured, strategic approach to ensure optimal results. From defining key business challenges to leveraging advanced analytics for decision-making, insurers can follow a step-by-step framework to realize the full potential of data.1. Define the Business ProblemThe foundation of a successful data analytics implementation begins with problem framing. Insurers must clearly identify the key challenges they aim to address, such as optimizing premium pricing, detecting fraud, predicting policyholder churn, or improving claims processing. A well-defined problem statement aligns analytics efforts with business objectives, ensuring that the insights generated are actionable and relevant.2. Data Collection and IntegrationData serves as the backbone of analytics-driven decision-making in the insurance industry. Insurers must aggregate data from various sources, including: First-party data: customer profiles, historical claims, policy detailsSecond-party or external data: market trends, demographic insightsIntegrating data from legacy systems, IoT devices, and third-party sources enables insurers to develop a comprehensive understanding of several key factors. These include risks, customer behaviors, and operational efficiencies, a better understanding of which will enhance decision-making.3. Data Preparation and Quality AssuranceRaw data is often unstructured, incomplete, or inconsistent. To derive meaningful insights, insurers must process and refine their datasets. This stage involves:Data Extraction: Retrieving data from legacy systems and multiple repositories.Data Cleaning: Removing inconsistencies, duplicates, and errors to ensure accuracy.Data Structuring: Standardizing formats and handling missing values for seamless analysis.Quality data is essential for reliable outcomes in data analytics within the insurance sector. It helps prevent biases and inaccuracies in risk assessments, claims predictions, and fraud detection models.4. Advanced Analytics and Model DevelopmentOnce the data is structured, insurers can apply various analytical techniques to generate actionable insights:Descriptive Analytics: Identifies past trends in claims, policies, and customer behaviors.Diagnostic Analytics: Examines underlying reasons behind key business trends, such as rising claim costs or customer attrition.Predictive Analytics: Forecasts future trends, such as policyholder risk levels, fraud likelihood, and expected claims volume. Prescriptive Analytics: Recommends actions to mitigate risks, improve customer engagement, and optimize underwriting models.Machine learning and AI-powered models play a crucial role in automating predictions, enhancing accuracy, and enabling real-time decision-making in risk assessments and pricing strategies.5. Insights Visualization and Reporting Effective data visualization and reporting help insurers present complex analytics results in a simplified, intuitive format. Interactive dashboards and real-time reports enable underwriters, claims professionals, and other stakeholders to identify trends quickly, assess risks, and make informed decisions.Advanced analytics platforms play a key role in this process. Tableau, widely used in the insurance sector, simplifies data visualization, helping insurers quickly assess risk, detect patterns, and refine policy pricing. Its real-time dashboards also enhance customer engagement by providing insights into policyholder behavior. Another platform, Power BI, offers a comprehensive view of operations through interactive reports and performance tracking. This, resultantly, enables insurers to monitor claims processing efficiency and optimize customer service.Choosing the right BI tool can help insurers ensure that data-driven insights are accessible, actionable, and effectively utilized across departments. 6. Continuous Evaluation and OptimizationThe effectiveness of data analytics initiatives should be regularly assessed to ensure ongoing improvements. Key considerations include:Measuring the impact of analytics-driven decisions on profitability, efficiency, and customer satisfaction.Identifying gaps or unexpected trends that require further analysis.Refining models and strategies to adapt to evolving market conditions and regulatory requirements.By establishing a continuous feedback loop, insurers can enhance their analytics frameworks, improve predictive accuracy, and maintain a competitive edge in the evolving insurance landscape.Final ThoughtsBy weaving AI and data analytics in insurance sector, businesses can cut costs, speed up claims, and make smarter decisions that set them apart. With competition getting fiercer and customers expecting more, relying on data-driven insights isn’t just about keeping up; it’s about staying ahead. And while adopting new technology might seem daunting, the right tech partners can make the transition seamless. With their support, insurers can unlock real value and build a future-ready business.

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5 Social-Media Trends to Prepare For In 2019

Recently, social media platforms have evolved from simple communication medium to a full-fledged news, entertainment and marketing hub. With new features and this year’s innovations like IGTV and Snap chat’s Story Ads, all social platforms are racing against each other to keep its users engaged and entertained – which signifies that your company shouldn’t be left too far behind. To keep up with these current social media trends brands need to upgrade themselves by reevaluating their strategy to thrive in this ever-evolving industry.In this dynamic landscape, marketers and businesses are vying for ways to stay ahead of the competition by boosting brand awareness.Here are few pointers to keep in mind as you prepare your social-media calendar for 2019Social CEOs will become the new customIn the digital age, one of the most prominent changes we have noticed is how we perceive a company's frontrunners. Lack of online presence and transparency with the audience has diminished public's trust about the brand. However, in 2019, CEOs and other company leaders need to use social media extensively to share their insights, connect with their community, and listen to their audience. Making social media a part of doing business in 2019 is imperative for the success of the brand.User-generated content will make brands' efforts more reliableUser-generated content will do the trick if your organic social reach is on the decline.  Instead of spending hours crafting unique content for social media, one can rely on user-generated content from their actual audience base which will increase the engagement more authentically and build a stronger relationship with the followers.LinkedIn Dynamic Ads are making ads more subjectiveWaving off your new members through invasive or impersonal ads would be the last thing any marketers would do to their TGs. Luckily the new feature rolled out by LinkedIn would help you to avoid such errands. With LinkedIn Dynamic Ads one can customize paid ad content and cultivate more authentic communication with their target customers.Social listening will give brands an edgeEngaging your audience is the thumb rule of any social strategy! So while developing your social media plan, put the effort to hear your audience to balance the engagement equation.  Social listening comprises analyzing conversations, phrases, and other details about your brand and competitors. Social listening tools can help to identify patterns and collect meaningful interpretations. Using that to your advantage can significantly benefit your campaigns in the future and give your brand an edge over the competition. Instead of bombarding with promotional content, focus on engaging with your followers.Instagram Stories feature will get more prominenceIn the last few years, Instagram Stories have become a popular way for users to constantly update their profiles, keep followers engaged, and, in some cases, even increase follower base. From the past trends, it has been observed, possibly the most valuable content is short-lived. To make the most of this feature, one can share pictures or behind-the-scenes videos that give your audience a glimpse to the ethos and culture and make them feel like a part of your brand. However, overwhelming your followers with a dozen posts a day would definitely impede your Social media strategy.The goal is to implement these trends by next year while many of them are already in use. So, keep an eye on what social media experts and other leaders in the industry are saying and incorporating in their marketing plan and rework on it to beat the competition with an exceptional social-media strategy for 2019.