Category: Emerging technologies

AI is Cashing In, But Can It Actually Cash Out for Insurance Tech by 2025?

The Rise of AI in Insurance: What to Expect by 2025 Today, AI handles only 10% of insurance processes, but that number is set to soar, with experts predicting a 24% annual adoption rate.The goal – A customer files a claim, and within minutes, AI in insurance assesses risks, detects fraud, and offers a tailored solution with no lengthy calls and no endless paperwork. By 2025, over 50% of insurers could integrate AI-driven tools, transforming customer experiences and business efficiency. The push is clear: AI is set to streamline, secure, and redefine insurance. The question isn’t if AI will become essential but how fast it will become indispensable. Key Innovations Transforming the Insurance Landscape AI is reshaping insurtech with innovations that go beyond traditional practices. Machine learning analyses massive data sets to predict claims and detect fraud, helping insurers make smarter decisions faster. Meanwhile, chatbots provide 24/7 customer support, answering questions and assisting with claims without long wait times. Imagine being able to handle an entire policy change through a quick message. Predictive analytics, another game-changer in insurtech, enables insurers to forecast risks accurately, creating personalised plans for customers. These tools don’t just boost efficiency; they make insurance accessible and responsive, aligning the industry more closely with customers’ needs. Consumer Expectations: How AI Is Changing Customer Experience Today’s insurance customers crave quick, personalised experiences, and AI insurance is stepping up to deliver. Imagine logging into an app and instantly receiving tailored policy recommendations based on your lifestyle and needs. This is AI in action, learning from user data to craft unique offers that truly fit. Beyond personalisation, AI-driven chatbots and virtual assistants provide round-the-clock support, answering questions and handling claims efficiently. Insurers also use AI to streamline claim approvals, cutting wait times from weeks to days, sometimes even minutes. This shift is making insurance less about paperwork and more about real-time solutions, changing how customers experience and expect service in the digital age. Challenges Ahead: Can AI Overcome Industry Hurdles? AI in insurance holds promise but faces hurdles that can’t be ignored. The biggest? Data privacy. Customers worry about how their sensitive information is managed, and strict regulations are adding layers of complexity. Then, there’s the tech itself that AI needs vast quality data to work well, and that’s not always easy to access. But there’s hope. Insurers are exploring advanced encryption and decentralised data storage to keep information safe. Meanwhile, partnerships with regulatory bodies could pave the way for smoother compliance. These solutions hint at a future where AI can thrive in insurance, but the road is anything but smooth. Expert Insights: Predictions on AI’s Role in 2025 Industry leaders are optimistic about AI’s transformative power in insurance. “AI will reshape our competitive landscape,” says Sarah Thompson, a technology analyst. She envisions a future where AI not only enhances efficiency but also drives innovation. As companies adopt advanced analytics and machine learning, the gap between traditional insurers and tech-savvy newcomers will widen. “AI predictions show that insurers embracing this technology will thrive while those that resist will struggle to keep up,” notes John Carter, an insurance executive. By 2025, AI is expected to empower insurers to make data-driven decisions faster than ever before, changing customer interactions and reshaping market dynamics. The race to innovate is on! Future-Proofing Your Insurance Business with AI To thrive in the evolving insurance landscape, businesses must embrace AI technologies now. Start by identifying repetitive tasks that can benefit from automation. Implement AI-driven chatbots to enhance customer service and streamline claims processing. Training your team on AI tools will empower them to harness the technology effectively. Additionally, focus on data analytics to gain insights into customer behaviour and preferences. This proactive approach not only improves efficiency but also builds trust with clients. Remember that adaptability is key. Regularly evaluate and update your AI strategies to align with market trends. By investing in AI today, your insurance business will be ready to face the challenges of tomorrow. FAQs 1. How will AI revolutionize the insurance claims process by 2025? AI is set to revolutionize insurance claims by automating tasks like document verification, damage assessment, and fraud detection. This will significantly reduce processing time and improve efficiency. Additionally, AI-powered chatbots will provide 24/7 customer support, answering queries and guiding claimants through the process. 2. What are the key challenges the insurance industry faces in adopting AI? Key challenges include data privacy and security concerns, the need for standardized data, a shortage of skilled AI professionals, and regulatory compliance. Overcoming these hurdles is crucial for successful AI adoption in the insurance industry. 3: How can AI improve customer experience in the insurance industry? AI can enhance customer experience by providing personalized services, 24/7 support, and faster claim processing. AI-powered chatbots offer instant assistance, while predictive analytics enable insurers to tailor products and services to individual needs. 4: What are some specific examples of AI applications in the insurance industry? AI applications in insurance include: 5: What steps should insurance companies take to prepare for an AI-powered future? To prepare for an AI-powered future, insurance companies should:

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Latest Technologies and Future Trends by Top Key Players Forecast to 2030

Latest Technologies and Future Trends by Top Key Players Forecast to 2030

Several emerging technologies are poised to bring about a massive industry transformation as per reports. What is the forecast for future trends and the top key players till 2030? Here’s finding out.  Major Findings Here are some interesting findings related to technological advancements and technological disruptions throughout industries. It also offers insights into the future trends regarding emerging technologies.  Some Other Crucial Insights Here are a few other innovation forecast moot points for the period till 2030:  As can be seen, widespread transformation is at the core of business operations and efficiencies in the period till 2030. What the world is currently witnessing is a transitional phase with several emerging technologies being adopted by leading players in the Asia-Pacific and even worldwide. What is evident is that 2030 will push the bar well higher in terms of disruptions and eventual progress.  FAQs Some of the technologies that are already shaping the business landscape include automation and artificial intelligence, along with machine learning and IoT (Internet of Things). Other examples include data analytics and cloud computing along with blockchain technology. Organizations are steadily embracing these technologies to boost efficiency and offer more personalization to customers while also streamlining their internal operations or business processes. By 2030, the physical and digital worlds will also merge with technologies like AR, VR and 3D being used for creating digital twins in sectors like healthcare, manufacturing, real estate and more. There will also be a shift towards data native from cloud-native along with generative AI usage for closing up gaps between insights and data.  2. Who are the key players in these emerging technologies, and what are their roles in driving innovation? There are several key players for these emerging technologies from multiple standpoints. Countries like Japan, India, South Korea, and China are at the cusp of greater breakthroughs in terms of technological integration into the public and corporate spheres for greater efficiency, mitigation of risks, and many other purposes. At the same time, leading tech giants have a big role to play in terms of innovation and experimentation in order to drive future progress. The biggest players in these segments are chief technology officers or CTOs of companies. They have a vital role in terms of encouraging more innovation and building future technology blueprints for organizations.  There are a few challenges linked to the adoption of new technologies. These include legacy systems and perspectives, lack of training or skill sets, costs of new technologies and tools, and the speed of technological advancements, along with privacy concerns. The latter can be addressed through encryption measures, audits, and compliance with better regulations. Steady investments in up-skilling, training, and future-ready digital infrastructure are also the way forward with regard to tackling these challenges.  Several emerging technologies are poised to have a disruptive effect on various global sectors. Retail will witness a complete revamping of business strategies and models, becoming more personalized and data-driven with technological disruption. Industries like healthcare, manufacturing, insurance and finance should also witness major disruptions in the near future. 

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Life Science & Pharma News Wrap | Weekly Snippet

Life Science & Pharma News Wrap | Weekly Snippet

✔️ Biotech Firm 10X Genomics is harnessing advanced technology to create advancements that promise to benefit the entire humanity. https://www.forbes.com/sites/stevenaquino/2023/08/07/biotech-startup-10x-genomics-is-using-tech-to-transform-biology-and-advance-human-health-for-all-people-including-the-disabled/ ✔️ New Delhi-based Premas Life Sciences is fast-tracking the adoption of optical genome mapping technology in India. Recently it has established a distribution partnership with Bionano, a US-based leader in genome analysis solutions.  https://www.biospectrumindia.com/news/60/23431/premas-life-sciences-expedites-use-of-optical-genome-mapping-technology-in-india-.html ✔️Mankind Pharma joins forces with AI-generated Anushka Sharma to express heartfelt thanks to our chemist heroes. The campaign created cool advertisements and proved immensely advantageous for chemists, amplifying their presence and elevating their sales. https://brandequity.economictimes.indiatimes.com/news/advertising/mankind-pharma-uses-ai-generated-anushka-sharma-to-thank-chemists/102639440 ✔️ Dimensionless Technologies, spearheaded by two IIT alumni is rewriting the supply chain narrative with AushadhAI and is promising to reshape the pharma and healthcare landscape.

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Hackathon Diaries #4 FaceFinder: Face Recognition Application

Hackathon Diaries #4 FaceFinder: Face Recognition Application

Hey there tech enthusiasts. Welcome to the fourth edition of Hackathon Diaries, where we present to you the latest and greatest innovations created by the brilliant minds at INT. Hackathon 2023. Hold on to your hats because this time we’re taking things up a notch with our cutting-edge solution, FaceFinder. It’s all about securing today for a safer tomorrow, and we’re thrilled to share all the exciting details with you. FaceFinder Picture this: You arrive at your workplace, but instead of fumbling around with keys or access cards, you just stand in front of the gate and let FaceFinder work its magic.  It is an application to open gates securely and automatically through facial recognition technology. It facilitates users to upload/register images of their faces, which can be used to recognise them. The stored image in the database will be used to verify any new entry request. It grants access to matching, otherwise,  the gate won’t open and physical intervention will be needed. The Techie  V Sweta Working Flowchart But let’s get into the nitty-gritty of how it all works. Our brilliant tech-savvy superstar has designed an innovative flowchart that seamlessly integrates various tools to make FaceFinder a robust and reliable solution.  Tech Stack We’re talking about:  ASP.NET Core at the backend Azure Cognitive Service Computer Vision and Face API for detecting and recognising people Azure Storage account to store all your pretty faces And of course, Entity Framework Core is there to make sure everything is stored in our trusty SQL server Now, let’s talk benefits Enhanced Security: Using facial recognition technology to open gates can enhance the security of the premises by ensuring access to only authorised individuals Convenience: With this application, users can open gates without having to manually unlock them Efficiency: Automatic gate opening saves time and effort for individuals who frequently access the premises Enhanced User Experience: The intuitive UI/UX of the application makes it hassle-free for users accessing the gateway Cost Savings: Reduces the need for security personnel, thereby cutting costs associated with staffing and training. It also eliminates the requirement for physical access controls such as keys or access cards, which can be expensive to produce and maintain. Potential Challenges Of The Prototype and The Future Opportunities But we’re not going to shy away from potential challenges. FaceFinder has a few limitations, like being unable to recognise identical twins, finding it difficult to identify individuals with facial injuries, and struggling to identify those wearing a cap or scarf.  Hey, we’re not giving up on these. We’re already working on ways to improve FaceFinder, such as implementing IoT devices, maintaining a block list to restrict specific individuals, initiating breaching alerts, enhancing scalability, reducing response time, and exploring more use cases. So, there you have it. FaceFinder is the future of secure and convenient gate access, and we’re excited to take this technology to new heights. Stay tuned for more exciting developments from Hackathon Diaries.

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World Earth Day – Role of Digital Technologies in Correcting Environmental Impact

Environmental impact, natural calamities and global warming are the biggest moot points today among policymakers and corporates worldwide. While Nature’s Fury is not fully in our hands, technology can be a future safeguard in terms of better response systems, mitigation strategies and correcting environmental impact. With World Earth Day around the corner on 22nd April 2022, now is the time for countries and authorities to adopt comprehensive digital technologies for managing environmental impact, and conditions and contribute towards futuristic, sustainable and sound policymaking. Digital Technologies- How They Stack Up? Digital technologies may enable easier decision-making and response systems through their integration into environment-linked data. For instance, with New Delhi suffering from toxic air quality last winter, residents were able to track everything on the GEMS Air (Global Environment Monitoring System Air) site in real-time. GEMS Air is one of the numerous technologies deployed by the UNEP (United Nations Environment Programme) for tracking environmental conditions at local, global and national levels. In the near future, integrated digital data platforms will help countries understand, track, manage and mitigate environmental hazards including growing air pollution and harmful emissions. Multiple public and private sector players are already tapping into digital technologies and data for scaling up environmental action plans. At a time when the world is battling pollution, loss of biodiversity and climate change, digital technologies are enabling transformational measures for safeguarding nature, lowering pollution and boosting overall sustainability. GEMS Air for instance is the biggest air pollution network worldwide, encompassing almost 5,000 cities. More than 50 million people accessed it in 2020 as per reports. It is now playing a crucial role in alerting citizens about risks with real-time updates. How Other Digital Tools Are Contributing To Much-Needed Environmental Action? Big data and other technologies are helping generate timely and effective insights. For instance, farmers now have accurate data on weather and predictive modelling/forecasting applications. They can lower the usage of water, conserve natural resources and prepare for calamities. Applying digital technologies to environmental information is helping in better management and regulations. For instance, migrations of birds are hard to track and cover various regions. This is a major obstacle to conservation efforts in this space. Yet, forecasting models are now helping understand patterns and variances in migration. This knowledge is helping combat migration issues with better policies. Non-governmental change agents are also being mobilized through environmental insights and information, including corporates, communities and organisations. Some tools are already tapping data on emissions of methane already and offering analytics to companies for building future sustainability goals. Simultaneously, digital technologies are playing a role in enhancing overall accountability among all stakeholders, veering policy-making away from distractions towards hardcore and understandable analytics and environmental data. Minimizing environmental impact, identifying potential problems and finding solutions are processes made faster and easier through digital technologies. AI and big data analytics along with IoT, social platforms and mobile applications are contributing towards enhanced sustainability, lower resource usage and greater awareness. At a rudimentary level, these technologies are digitizing workplaces, production units and establishments, making them more environment-friendly and conserving more resources as a result. More corporates are depending on AI and IoT along with analytics for coming up with futuristic and more sustainable practices that lower carbon emissions and minimize wastage. Big data analytics is already at work in certifying products based on their environmental sustainability quotient. Blockchain may be used for greater sustainability in the future, scaling up lifecycles of products, maximizing usage of resources and lowering emissions, thereby greatly contributing to lowering environmental impact. These are only a few of the multifarious use cases of digital technologies and their role in mitigating environmental impact. One aspect is crystal clear- A fusion of environmental understanding, policies and sustainability with digitization is mandatory. It is digital transformation that will enable countries to move towards lower resource wastage, higher conservation and more sustainable ecosystems. On World Earth Day, it is time to embrace the power of technology and use it for environmental good.

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Why to Use Content Syndication in Content Marketing

Data Ethics In The Insurance Industry

Unfair bias is the most complex, controversial, and biggest issue in data handling. In the insurance sector, the Data Ethics Policy provides a unified framework that outlines how to properly use data. Data and privacy are a tag-team, and their separation initiates concerns for customers. In this industry, ensuring data security is critical.   The rapid entrance of emerging technologies in insurance brought up an opportunity to unlock new value. To seize that, data analytics may be the differentiator as this industry is reshaping to a data-driven one.  However, opportunity and value are not the only things to prioritise. It needs to deal with a complete and controlled data transformation based on societal expectations and views.  What Is Data Ethics In Insurance? Data ethics pertains to data practices for collecting, spawning, analysing, and circulating both unstructured and structured data. If misused, it has the potential to adversely influence society and people. It includes the moral obligation to collect, protect, and use personally distinguishable information.   Insurance is a growing market for data analytics since it deals with sensitive consumer data. This posed ethical issues in the industry, such as improper consumer data processing, data breaches, and the use of client data without consent. An insurance service provider’s image and reputation are harmed as a result of this.  Here, the data ethics policy provides an open, transparent, and complete view to keep the customers aware of how their personal data is being used to calculate customised claims, premiums, and policies. A common practice is the implementation of an analytical solution model for customers’ data. This is to enhance the accuracy of risk profiling and their behaviour anticipation. The question is, whether the use of customer data is morally justifiable. This triggers ethical dilemmas under the niche of control and transparency.   The Data Ethics Dilemma In The Insurance Industry Data maximisation vs. data minimisation: Data minimisation restricts the algorithms to generate biases. But the best outcomes from the AI algorithms in data handling are obtained in the case of data maximisation, which is prone to causing ethical dilemmas.  Situational Ethical Boundaries vs. Uniform Ethical Boundaries: The insurance companies encounter the ethical dilemma of whether to consider different or same ethical boundaries in every situation.     Leveraging data to influence customer behaviour: Use of data for monitoring can help customers to maintain their long-term insurance plans. But unwanted side effects may hamper customer behaviour due to the disclosure of personal data. Ways Out Of The Dilemma Data ethics policy largely relies on the principles and guidelines for obtaining new analytical solutions as data is increasing continuously. The guidelines push the insurance companies to conduct incessant discussions for future improvement of data ethics.   Explainability: Data analysed decisions should be interpretable to data subjects. Value Alignment: Maintaining alignment between human values and incorporated values in data analysis such as transparency, respect, and honesty.   Responsibility: Defining data analysis and data use responsibilities in insurance organisations.  Human Autonomy Respect: Human autonomy is to be respected while using analytics and data. Organisational embeddedness: Embedding data analysis and data use principles throughout the organisation.  Auditability: Handling the auditable factor of data and analytics for ensuring public trust.  Data Ethics Policy development in the insurance sector kicks off with the implementation of IT security policies and risk management. Consent mechanisms to use data of the policyholders is the next big thing in the queue. Utilising data-centric technologies to ensure customer transparency is the final criterion. The Road Ahead The new normal has driven data ethics to acquire a top spot in CEO agendas. Across the world, data ethics watchdogs are gaining increasing interest to deal with ethical issues. This is an opportunity for the insurance industry to gain long-term customer trust.

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10 Micro Frontend Frameworks That You Must Know About

In today’s world, it is feasible to create applications with 90% front-end code. It won’t be a stretch to say that a larger part of web applications are being worked with that methodology. This carries us to a much-discussed topic in the advancement and development world. What is a Micro Frontend? Micro Frontend implies moving toward the front-end improvement cycle of web applications with the idea and thought of microservices. Up to this point, the predominant practice was to utilize microservices design as the establishment on which rich applications can be constructed. The applications, accordingly, created were known as Frontend Monolith. The disadvantage of this methodology was that the engineering turned into a piece of the application over time. Since it is grown independently, upkeep ended up being a test. Micro Frontend was considered to take care of this issue. The main idea behind its methodology is, a web application is an assemblage of autonomous elements that can be created by various groups and afterward combined to make a homogenous interface. The Micro Frontend Architecture works with a cross-functional methodology where various groups with unmistakable specializations foster start to finish highlights, going from data set to UI. The subsequent application is less cumbersome and significantly more cordial. The application is parted according to business areas across the stack. Inferable from which, front-end designers can benefit a similar speed and adaptability as backend groups have when working with Microservices engineering. The following are the main 10 frameworks one can use to assemble the Micro Frontend architecture: Bit: A Bit is a product prepared solution for building Micro Frontends, which additionally makes it one of the most well-known systems there is. It permits you to make and oversee frontends through autonomous parts. The Bit landing page in itself is with respect to how autonomous parts should be consistently coordinated to make a homogenous item. You can work just as incorporating parts by using Bit. It inclines in the direction of the form time approach for making frontends, permitting engineers double advantages – heartiness and security of stone monuments, just as versatility and adaptability of Micro Frontends. Bit utilizes an open-source library to make parts genuinely autonomous of one another. Simultaneously, their cloud stage works with cooperation among groups to coordinate these parts eventually. Spot’s own landing page is the best illustration of how this structure can be utilized by conveying the Micro Frontend strategy. The page has been worked by utilizing two unique codebases on GitHub – base-UI and evangelist – for creating individual parts. The part created by the frontend framework group utilizes base-UI, which is Bit’s most essential framework for the part plan. The singular parts in this piece have been created in a decoupled codebase and afterward shared and distributed on Bit.dev. This methodology makes the parts effectively discoverable for being incorporated with those created by different groups. The other part of the landing page involves parts that are likewise evolved in a decoupled codebase utilizing evangelist – a showcasing-driven framework, which is possessed by the promoting group. Anybody utilizing the Bit system approaches a comparable work process where groups can assemble, form, test, and distribute every free part. These parts would then be able to be presented to the groups for coordinated effort and reconciliation. Module Federation: Module Federation is a JavaScript design that allows fostering different separate builds with next to no codependency. These are created and conveyed autonomously. They meet up to shape a solitary application, similar to bits of a jigsaw. This tool influences the runtime approach and permits JavaScript to progressively import code from different applications. This prompts the production of a JavaScript section record that is accessible for download to different applications with the assistance of a Webpack design. This is one of the best apparatuses for countering the code dependency issue. Hence it empowers group size extension through dependency sharing. SystemJS: Even though SystemJS is definitely not a Micro Frontend structure, its job as a cross-program the board answer for modules is vital to effectively carry out Micro Frontends. It may very well be considered as a facilitator for JavaScript modules. SystemJS is at the core of utilizing highlights. For example, import guides and dynamic imports without the requirement for local program support. Besides, admittance to its ‘module library’ assists you with finding out which modules are in the program at a given time. One of its most noteworthy features is the ability to deal with module imports by mapping names to methods, Polyfill for more established applications, and the ability to set up several modules in a single record design using its API to perform single organisation requests for a long period. It is most usually utilized in conjunction with the Single SPA structure, which depends vigorously on import maps and in-program modules. In the Single SPA micro frontend, something like one application is facilitated from a distance. It comprises a root arrangement that aids in downloading the application to the organization and delivering it. To keep away from any mistakes in delivering, you really want an import map in index.ejs design for bringing in React and ReactDOM. Piral: Piral is the go-to instrument for anybody hoping to utilize Micro Frontends to construct entry applications. With the assistance of decoupled modules known as Pilets, it permits you to make a particular frontend application that is extended at runtime. A pilet is grown freely and connects with all vital resources for Micro Frontend advancement, including the code. It is like one of the most easy-to-use structures you can work with. All you really want to get everything rolling are a terminal, web availability, an editorial manager of your decision, and Node.js. Piral is equipped for handling the total advancement lifecycle by parting it into equal parts. You regularly begin with the application shell, starting from the layout, right to investigating, building, and distributing. Then, at that point, continue on the singular modules, (Pilets), dealing with the framework before investigating, building, and

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low-code-is-future

Why The World Is Catching On To Low Code Platforms for Software development?

Remember building a webpage before we had wp bakery or eliminator? Lines of codes, testing, preview and corrections. Time taking a drag. But, now you can whip up a landing page in a matter of a few minutes. It’s undeniable that low code platforms help us achieve speed to market and empower businesses to create faster MVPs. By 2024, low-code application development will be responsible for more than 65% of application development activity. The global low-code application development platform market size was valued at USD 11.45 billion in 2019 and is expected to grow at a compound annual growth rate of 22.7% from 2020 to 2027. The above two points clearly indicate the rise of low code development platforms in recent years and the prominent future of these low code tools in software development. Now, what is low code software development? By definition, it is an application development method in which the developers develop visual codes for creating web and mobile-based platforms. This code uses a graphic interface having a drag and drop components in the coding method. It reduces the developer’s task of writing non-technical codes through this interface and supports them in creating and working on a tedious task of application development. By breaking down traditional silos of business and IT (promoting continuous collaboration), your organization can develop solutions that meet the needs of your business. By breaking down traditional forms of business and IT (promoting continuous collaboration), an organization can develop solutions that meet the needs of your business. Key factors that are driving the market growth include increasing digital transformation in the IT and Telecom industry, increased responsiveness to the business, and rising need for customization and scalability. Low code development tools provide many benefits and more people can contribute to the application development process. Also, these platforms help organizations in improving their agility thus reducing the complexity of the application development process. Here are some key benefits of using low code platforms. Speed: The ability to accelerate the delivery of new software and applications is the most important advantage. Low code development tools assist in. rapidly delivering apps that a business needs with the existing talent. Organizations using a low code development process can thus achieve unparalleled time-to-value. Following are a few processes that allow the increase in speed. Drag-and-drop functionality, pre-built user interfaces, and models for business processes, logic, and data models enable the rapid development of full-stack, cross-platform apps. Easy-to implement APIs and connectors integrate with third-party tools that developers already use, so no time is lost due to a learning curve. Improved agility: Business agility enables enterprises to adapt and respond to market changes and new opportunities using innovative, digital solutions that solve business problems. Operating at digital speed means creating the app capabilities users require to function smoothly across multiple devices. For example, an organization can deliver cloud applications that integrate with some legacy systems, so they are better able to meet the changing needs of customers. They can deliver applications across more platforms so customers can interact with their business however they wish. Decreased costs: With the ability to build more apps in less time, costs decrease. But, that’s not the only cause. Low-code development reduces the need for more developers, reducing hiring costs. And, the right low-code platform can make everyone in the organization—not just IT—more productive. Companies can develop a variety of solutions ranging from process automation apps to mission-critical systems modernization, without incurring heavy costs. Ease of use: The speed and development simplicity of low-code enables junior developers and tech enthusiasts without a strong background to build apps as if they were full-stack developers. Also, it empowers skilled developers to work more efficiently, so they can focus on more complex, less mundane aspects of programming. This way, companies of any size are able to maximize their existing resources and deliver the solutions their business requires to stay competitive. Responding to Changes: Low code platforms gives the ability to respond quickly to changing business and customer needs thus organizations are better equipped to quickly adapt and respond to fast-changing business conditions. Here are some of the famous and powerful low code tools: Mendix Gramex Appian Kissflow Pega Systems Salesforce Lightning Outsystems Zoho Creator Microsoft PowerApps VisionX Low-code tools support many different use cases. Below are some of the more common use cases seen today. Integration/Automation Customer Service Web Experience E-Commerce Data Analysis DevOps Internal Corporate Template Code Creating Web Applications Enterprise Software Development At INT. we are increasing the usage of low code development processes and tools into our ecosystem. Along with implementing low code platforms into mobile and web application development, we are also leveraging low code options into our Machine Learning based products. With the help of enterprise low code development platforms, we are bypassing all the tiring hassle and producing better and more efficient data and AI solutions in much less time.

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future-of-devsecai

Future of DevSecAI: Should You Discuss It With Your Software Development Partner

The concept of DevSecOps is on the rise lately and for all the good reasons! The framework has been a boon for software development partners around the world. With its increased productivity and rate of software deployments, the DevSecOps methodology is the turning point for the success of organizations, allowing them to become vested in code development during the initial stages of the production cycle. With AI/ML taking over the lead with greater adoption and security integrated operations, stats by the Analytical Research Cognizance highlight that the global DevSecOps market will highlight a growth rate of CAGR of 33.7% during 2017-2023. But the question is, what’s the future of Devsec AI? To know better, let’s first understand what Devsec is… Introduction to Devsec DevSecOps (a collective term used for development, security, and operations), is the integration of security that goes on through the multiple phases of the lifecycle of software development. Operations on DevSecOps begin from initial design through deployment, testing, integration, and software delivery. If we look at it, DevSecOps represents an essential evolution in the security approach for development organizations. We term ‘DevSecOps’ as an evolution because it revolutionizes the way operations have changed. Previously, ‘security’ was ‘tacked on’ to the final product, tested by separate quality assurance (QA) and security team at the end of the development cycle. Now that we know what DevSecOps is let’s look at the different pillars of the process! Pillars of DevSecOps People The people or resources of any given organization catalyze the growth of DevSecOps. People help in breaking the traditional barriers of operations. Initiating operations with small teams helps boost confidence that can be taken forward to other teams. Further, collaboration with a like-minded team allows you to share common goals provides accountability, transparency, and ownership. Process Along with quality and speed, consistency is one of the significant elements that organizations should include in the processes. Adopting different practices like implementing threat modelling storyboards, developing a design for customers, and different static code scanning that is packed to eliminate security rework and breaches. Technology Another major pillar of DevSecOps is technology. Cybersecurity software allows keeping pace with different pipeline tools such as testing-as-code, security-as-code, and infrastructure-as-code. This way, DevSecOps allows to boost security and eradicate manual security activities. Governance Organizations structure a designed and scalable framework (at macro and micro level), simplifying collaborations and development. On the micro-level, the governance of tools and processes allows the users to boost efficiency. On the contrary, the macro-level showcases hierarchical structures. How is DevSecOps Essential? When integrated with security, the DevOps approach saves security-related concerns, which may arrive later in the process. In essence, DevSecOps allows the security team to perform security testing and identify the different bugs, besides other vulnerabilities in the process. Cons of using DevSecOps Similar to all the other frameworks and methodologies, DevSecOps also has its limitations, especially when dealing with the whole team or individual members. Let’s check them out: Limited to closed communication    For DevSecOps to work properly, collaboration and communication are the keys to software development and security. The methodology will fail to work as intended. Should be Accepted by Everyone Not all employees are keen on accepting non-traditional working arrangements. Some live by the mantra, “If it ain’t broke, don’t fix it.” It can be difficult to ditch the old ways of doing things and choose new working methods. Employees with this mindset may be hard to convince about the importance of DevSecOps. Additionally, they need time and few success stories to accept the new workflow. May Not be The Management’s Main Priority Not all executives in a software development company consider security as their priority. The reason being that company executives may not consider accepting the changes proposed by a DevSecOps manager or consultant. The Bottomline: Will AI take over completely? If we look at it briefly, DevSecOps is a methodology that integrates security in the preliminary stages of software development, supported by different elements of AI and ML. However, when compared to the manual process of development, DevSecOps is still a distant dream. Lastly, considering that it cannot highlight the exact error in a source code, working with such a methodology can lead to crippling setbacks. Which, in contrast, is not a hurdle with the manual approach.

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PWA Vs AMP- What To Choose?

“Design your website for your mobile device first then go the way up” – Exactly! You heard it correct. Why? Developers often face challenges when designing for smaller devices so when you start for the small device and then go up,  you are actually designing the heart of the UX first, and that is called product enhancement.  Why Mobile-First approach?  Mobile-first means your design is precise, your content is not puffed up. The limitations and smaller screen breakpoints better fit around the content. Then why not Mobile-first approach? Today’s environment makes us more reliant on smartphones. Faster and convenient interactions give it an edge over any devices. Moreover, we prefer everything on the go!  Why not gradual degradation?  Well, in this case, you have to cut down the experience because the core and the supplementary parts of the all-inclusive design become hard to distinguish and separate. Mobile apps are more user-specific and cater to the smarter needs than web apps since they are advanced in terms of features and functionalities now, building web apps is easier but they are simpler in terms of features. Thus, we need the best of two which led us to progressive web apps (PWA). Progressive web app falls in between standard web app and mobile app and as Alex Russell says PWAs are “responsive, connectivity-independent, app-like, fresh, safe, discoverable, re-engageable, installable, linkable web experiences. PWA is able to work offline and load extremely quickly. Moreover, it doesn’t require downloading or installation.  PWA & AMP cs.” The progressive web application is an advanced web page able to work offline, includes features of push-button and has device hardware access. It also has native app-like capabilities such as local storage, notifications, background synchronisation. Accelerate Mobile page is an open-source HTML framework that creates a web page faster, enables it with a smooth-landing page and prioritizes the user-experience. It has optimised AMP components and CSS.  What to choose? Let’s dive into their pros and cons 1.1 Progressive Web APP In the following tabular format let’s look into what PWA is offering to us and not: Pros of PWA Progressive: Able to work on any browser due to its progressive improvement principles. Responsive: Adaptable to various screen sizes or dimensions of any device. App-like: Users experience alike feelings of using native apps in terms of interaction and navigation. Updated: Information is always up-to-date thanks to the data update process offered by service workers. Secure: Exposed over HTTPS protocol to prevent the connection from displaying information or altering the contents. Searchable: They are identified as “applications” and are indexed by search engines. Reactivable: Web notification capability makes the application easier to reactivate Installable: Complexities arising for using the app store can be avoided by saving the useful app through an icon present on the home screen. Linkable: Easily shared via URL without complex installations Offline: Keeps the user first approach by avoiding the usual error message in case of a weak signal. Based on two particularities: ‘skeleton’ of the app, which recalls the page structure and elements including header and page layout. And shows illustration that signals that the page is loading.  Cons of PWA Latest Version  iOS: iOS support from version 11.3 onwards; Battery Consumption: Reduces the battery life Multi-Device Support: Not all devices support the full range of PWA features (same speech for iOS and Android operating systems); Re-engagement for iOS: It is not possible to establish a strong re-engagement for iOS users (URL scheme, standard web notifications) Offline Execution: Support for offline execution is however limited Presence: Lack of presence on the stores (there is no possibility to acquire traffic from that channel); Body of Control: There is no “body” of control (like the stores) and an approval process; Accessibility: Limited access to some hardware components of the devices; Flexibility: Little flexibility regarding “special” content for users (eg loyalty programs, loyalty, etc.) 1.2 Accelerated Mobile Page  Do they provide more features? Pros of AMP Increased speed: The increased loading speed of AMP content makes the content engaging and engagement rate increase due to its quick and hassle-free process. Shorter load times also mean that visitors are less likely to lose patience hence decreasing the bounce rate. Increased visibility: Right now AMPs cannot automatically increase domain authority of the page but it is eligible to be displayed in Google’s “Top Stories” carousel, which sits at or near the top of search results pages, depending on what you search. Increased visitor engagement: visitors are more likely to engage with the content on AMPs compared to traditional mobile pages due to its minimalist design as AMPs makes it easier for visitors to navigate through the content on your page Cons Of AMP AMPs may not increase site traffic: Because AMP content has a Google URL and resides in Google’s servers, AMPs won’t directly increase traffic to your website but Google has a solution to it. For example, AMP publishers can add a comment button which will redirect the visitors to an equivalent page where they can add comments. Coordination problem: While the AMPs themselves may load quickly, any external content on the page is likely to lag behind. This is a big problem when it comes to hosting advertisements. Visitors are likely to scroll past an ad before it has loaded, killing any chance at conversion. Analytics leaves much to be desired: Quality analytics of AMP is not par to google standard. Data based on the basic metrics are not available much therefore visitors’ experience cannot be enhanced.  Trends around PWA and AMP Trends around PWA and AMP will enable developers to learn about the newest features and help them incorporate. Both are different mobile technologies, PWA is used to provide a feel of native apps whereas AMP helps in loading web pages faster. Today mobile devices have become important and businesses have started taking it seriously. Choosing either of them or both depends upon the knowledge of trends around them. In the following section, we will note the unique

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