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4 Generative AI Trends Can Shape The Future in 2023

Currently, AI has been mentioned uncountable times as the innovation of the contemporary era with rich material and potential to exploit. As a technology profession, the generative AI field is a competitive and fast-paced market with AI trends updated regularly and even unexpectedly. Furthermore, AI, besides its function as a machine learning tool with tasks like answering questions, translation, or creation. It should be perceived beyond this limit with broader exposure. Thus, generative AI trends matter significantly and are utilized for the customer experience ecosystem. Its popularity is undeniable by governments and businesses spend on AI technology $500 billion in 2023, according to IDC research. But how will it be used, and what impact will it have? Instead of merely understanding, let's see through the breakdown of generative AI trends. What is Generative AI? Generative AI algorithms utilize pre-existing data to generate completely novel content that has never before physically existed. The forms are videos, images, sounds, or even computer code. Among AI trends, this one is pretty common with the emergence of chatbot, especially chat GPT and capable of creating text and prose close to being indistinguishable from that created by humans. Similarly, we also have Fliki, Super Creator for making video, or Midjourney, Rocket AI for creating images. It's anticable that its usage will be beyond the scale of individuals or small enterprises to the bigger businesses with a wider range of tasks. In 2023, we can see it used increasingly frequently to create synthetic data that can be used by businesses for all manner of purposes. Using synthetic audio and video data can eliminate the need to film and record speech on video. Workers can simply type what they want the audience to see and hear into your generative tools, and the AI will create it accordingly. Accordingly, here is some generative AI trends worth noticing: Multi-Modal Models Trend If you are working with only one source of information, it is easier to train the AI. However, the results may lack context or supporting information, leading to skewed outcomes. In multimodal AI, two or more streams of information can be processed together. Then, it allows the software to have a better understanding of what it is analyzing. This generative AI trend will help the interaction with AI like humans with full sense. Most generative AI tools, algorithms, and language models (LLMs) specialize in simulating one form of expression, such as language, visuals, or sounds. However, there is a growing trend towards "multi-modal" generative AI. The upcoming version of OpenAI's ChatGPT is an example. It will have the ability to understand and interpret images, as well as respond to voice commands. Meta has also demonstrated a model that can combine images, text, audio, depth, and motion data. This approach is expected to become more common in the coming year. Additionally, it will soon be normal to have conversations with AI about pictures or videos. This is similar to how we interact with text today. > Related: Generative AI:…
pros and cons of single-page application

Single-Page Application (SPA): Pros and Cons in Web Development

These days, there are numerous websites developed for business purposes with the ultimate aim of meeting customers' demands fulfilled. As web development places greater emphasis on user interaction and customization, single-page applications (SPA) have gained significant popularity as a preferred method for presenting content and fostering user engagement. So, its merit is to make it a popular way to develop websites for many enterprises. What are Single-Page Applications (SPA)? A single-page application is a type of web programming, it can be a web app, or it can also be a website with the ability to bring the smoothest, best experience to users like when they are operating on a Mobile App. It loads a single document and updates the existing page with new data from a web server instead of reloading each page separately from the beginning. Examples of Single-Page Applications Netflix Built on the React framework, Netflix is an online streaming platform with movies and films. Under the base of the SPA approach, there is no interference in the viewing experience; moreover, it can stream a huge quantity of data to simultaneous platform users. Basically, the process goes from the user's request making then loading new data in the browser within its suitable speed. Gmail There is no need to refresh the page when clicking on messages in your inbox. All the necessary data is loaded from the server in one go, providing a seamless user experience. It's also a typical example of a single-page application. Spotify This page contains various sections, including playlists, albums, artists, and search functionality. As you interact with the application, such as searching for songs or navigating between different sections, the content dynamically updates on the same page without requiring a full page reload. What is the difference between SPA and MPA? Architecture: SPA consists of a single HTML page that is initially loaded and subsequent content updates are dynamically fetched and rendered on the same page using JavaScript. MPA, on the other hand, consists of multiple HTML pages where each page represents a separate view or functionality. User Experience: SPA provides a smoother and more responsive user experience since the content updates happen in the background without page reloads. MPA may introduce slight delays and interruptions during page transitions due to the need for full-page reloads.   [caption id="attachment_9134" align="aligncenter" width="443"] Difference between SPA and MPA[/caption] Pros and Cons of Single-Page Application Advantages of Single-Page Application Better UX The key merit in web development is being more seamless and less time-consuming. SPAs use client-side routing, enabling fluid navigation without needing full page reloads. Additionally, the seamlessness also comes from the quicker load and the more interactive appearance. Its interface includes interactive elements, and when users click, the single-page application responds by rendering accordingly and instantly. Mobile-friendliness This is the exclusive advantage of single-page application. SPAs can leverage technologies like Service Workers or local storage to provide offline capabilities, so it's rather accessible even when they are in an offline or low-connectivity environment. Also,…
Agile vs Waterfall: Why Agile is better?

Agile vs Waterfall - Why businesses need to consider?

Agile and Waterfall are two very popular software development models used in corporations and technology companies these days. So, what exactly are Agile model and Waterfall model? The main difference between these two models? Which one is better? AMELA will help you understand these two models in this article! What is The Agile Model? What is The Waterfall Model? Agile Model [caption id="attachment_9122" align="aligncenter" width="1864"] The process of the agile model[/caption] It's a method of building and developing software projects. This method significantly shortens development time, repeating tests in a short period of time, thereby developing the project quickly. Waterfall Model [caption id="attachment_9124" align="aligncenter" width="927"] The process of the waterfall model[/caption] It is a cyclical loop method. The method helps deploy a software project sequentially and thus the project development team only moves to the next development or testing phase if the previous step is completed successfully. Difference Between the Agile Model and Waterfall Model [caption id="attachment_9126" align="aligncenter" width="472"] Differences between agile and waterfall[/caption] + Agile allows customers to request changes to requirements or additional specifications at any time during the development process. Waterfall must make changes to specs and other specification requirements before development begins. + Agile can provide services at each iteration so it will be fast. As for Waterfall, it only allows providing services after completing all processes, so it will take more time. + Documentation is not required in the Agile development model; however, if it is an effective method of conveying information, documentation should still be created. In contrast, with the Waterfall development model, documentation needs to be created for each process and connected to the next process. Additionally, documentation also serves as proof of the project once the entire process is complete. + Agile requires regular testing for each implementation, while Waterfall requires testing only during the testing phase. + In Agile development, each engineer will perform his or her own development work without having to have a specific area of expertise; but with the Waterfall model, it is imperative that one person is in charge of each process. + The Agile method helps you learn practically through iterative developments. Because you are responsible for all rounds of development, you will have more experience and be more adaptable in many areas. Waterfall development is more about using people with expertise and experience, so training/recruiting human resources is relatively easy. + Agile can improve the process for each iteration; If it's not okay this time, it's completely possible to improve next time. However, with Waterfall, we can only see the points that need improvement after the project is completed, so we can only draw and apply experience to the next projects. Which One is Better? Each model has different advantages and disadvantages, it is important to apply the appropriate model depending on each project case. [caption id="attachment_9128" align="aligncenter" width="792"] Opposite Approaches[/caption] Agile model: Advantage: The Agile development model can deliver new products and features to users at a faster pace. Developing and implementing customer feedback…
top 5 reasons to choose .NET for your IoT project

Top 5 Reasons to Choose .NET for Your IoT Project

IoT (Internet of Things) has become a fantastic addition to the present technology world. This has made the current market more advanced and has also become quite beneficial for the audience. Even the big corporations are collaborating to come up with the interesting creation of IoT to supply the industry with suitable serving solutions. Then .NET appear to be an ideal solution. IoT has also proved to be extremely beneficial for the users as well. One of the most awesome programming languages working on the notion of object-orientation, ASP.NET, has been taken over by this platform. The ASP.Net app development functions to make sure that the trend improves without any problem whatsoever. Nevertheless, you will come across many organizations, which make use of the dot net development a different way for their projects in IoT. And therefore, it has become quite debatable amongst the companies at present. They are trying to come across the best language type for putting up with IoT technology. Below, we have mentioned the top 5 reasons why one should choose .Net for any IoT project. Windows 10 IoT Core Being a Microsoft product, .Net is compatible with Windows 10 IoT Core. The OS for Windows 10 has been developed specifically to operate on low-power devices such as MinnowBoard MAX, Raspberry Pi 2, and 3, as well as Dragonboard 410c. It is completely free, which happens to be a notable advantage. Windows 10 IOT cores come with quite a few integration options as well as a useful tool kit, which is a result of the UWP (Universal Windows Platform) and Visual Studio and Azure Cloud platform. It is possible for any dot net development company to hire .NET developers with the combination of UWP and.NET Core that will be capable of creating incredible IOT applications for Windows 10 IoT Core. A smooth UX is offered by .NET Core, which makes it quite advantageous out there. A US IoT app development company cannot implement complicated IoT systems with several Windows 10 IoT Core and .NET; however, they will be able to enjoy personalizing small IoT systems. Microsoft Azure Being identified as amongst the most well-known enterprise-class platforms right now, it works incredibly well for IoT users out there. The IoT accelerator and Azure IoT platform along with data storage and recovery is provided by Microsoft. The security, flexibility, and analytics, which are offered by Microsoft Azure happen to be important features when it comes to IoT app development. This particular platform, which is secure and dependable, provides lots of services. It will be possible to position your apps with several clicks in the cloud template by creating application runtime in the Azure Dashboard. The leading Microsoft engineers have been working on Azure extensively for including innovative features and providing updates. .NET Ready-Made Solutions Virtually every coding problem has been created and fixed somewhere on the web. Any dot net development company in the US is helped by .net by providing ready-made solutions. It implies that in case you are having any problem with your IoT solution, it is highly possible that the answer…

App Development For Your Business – Detailed Guidance

According to a PWC study, 86% of consumers are willing to spend extra for a better experience. The story of the brand Muji demonstrates this. Through the usage of the Muji Passport mobile app, Muji has had great success in improving the user experience. After its release, the app helped drive a 46% increase in in-store purchases. So, is it challenging to do a app development? What is the price? What are the steps, exactly? AMELA will offer thorough instructions on creating enterprise mobile applications. How to Start Your App Development Process? Before starting to build a mobile app for a brand, you need a BA to analyze the company’s business situation, thereby coming up with a new business strategy for mobile applications. Many businesses will wonder if they need a technology expert to be able to develop the application. The answer is no. Because most IT companies now have an IT team that advises exactly on the needs of each business group, you don’t have to be an expert in the field of technology to build an application. It’s not necessary to be an expert in technology, but having some expertise in this field might help you select the best app development partner. Difference between Freelancer and App Development  After preparing a detailed application building plan, next, businesses need to choose a strategic partner to cooperate with. There are two types of partners: Freelance and IT company. Each partner will have certain advantages and disadvantages. AMELA offers a few comparison criteria between these two types of partners so that businesses can easily consider choosing the right partner for the project: Criteria Freelancer Developer App Development Team Price Low High Qualification Expertise in the limited field Multi-skilled in different fields Realiability Low High Task Concurrence Multi-Tasker Each member is responsible for their part Terms Temporary or long-term cooperation long-term cooperation Size of project Small or full-time Bigger Projects Confidentiality Need to include NDAs if privacy is a concern NDAs are included in the contract Further Project Maintenance No Yes > Related: Flutter vs React Native: Which One is Better For Your Project? App Development Process and Its Stages Step 1: Brainstorm the idea Before you plan to proceed, you need to answer the following questions to make sure you didn’t engage with the wrong idea, and the idea is doable ・App Goal: Why do you want to build a mobile app? Is it really necessary in your business? Does your idea fit or very well the needs of your company/target audience? Do you have enough resources to promote it? ・Target Audience: Who is your target audience? Who are the potential users? ・USP Applications: What are the key features? What is the core appeal of your app? Why should your audience use your app? ・Competitor analysis: Who are your competitors? Do they have a similar app? If so, are your problem-solving ideas better than theirs? ・Application investment: Building an app will need a relatively large cost, are you well prepared? Do you have an investment plan? ・App…
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13 Mobile Application Development Trends in 2023

The “golden” year for creating mobile applications is probably 2022. The COVID-19 pandemic has significantly impacted consumers’ lifestyles, working habits, and perceptions. Many new technology applications and trends, such as e-wallets, Metaverse, NFT, and augmented reality technology AR, and VR, have emerged as a trend. So, will the mobile application market in 2023 continue to grow as rapidly as it did last year? Let’s examine the market picture to gain a deeper understanding of mobile app development trends in 2023: Potential Mobile Application Development Market According to a report by Statista, the number of mobile app users worldwide is projected to grow to 7.1 billion by 2023, up from 6.7 billion in 2021. This growth can be attributed to several factors, including the increasing availability of smartphones and mobile internet access, as well as the growing popularity of mobile apps across a wide range of industries and use cases. One of the key drivers of this growth is the increasing use of mobile apps in emerging markets, particularly in countries such as China and India, where mobile adoption is rapidly increasing. Additionally, the COVID-19 pandemic has also accelerated the growth of mobile app usage, as people have turned to their mobile devices to stay connected, entertained, and informed while staying at home. The report also notes that specific categories of mobile apps are expected to experience particularly strong growth in the coming years. For example, social media and messaging apps are expected to remain among the most popular categories, with the number of users projected to reach 3.1 billion by 2023. E-commerce and food delivery apps are also expected to see significant growth, as more people turn to online shopping and home delivery services. The growth in the number of mobile app users is expected to continue in the coming years, driven by technological advancements, shifting consumer behaviors, and the increasing importance of mobile devices in daily life. Mobile Technology Advancement As mobile devices have become more sophisticated and powerful, app developers have been able to create more complex, feature-rich mobile apps. The development of new mobile technologies such as 5G networks, augmented reality (AR), virtual reality (VR), and artificial intelligence (AI) has further expanded the possibilities for mobile app development. For example, the high-speed and low-latency capabilities of 5G networks enable the creation of more responsive and interactive mobile apps, which can stream high-quality video and support real-time collaboration. Augmented reality technology has created new opportunities for mobile apps in industries such as gaming, advertising, and education. Virtual reality technology is also being used to create immersive and engaging mobile experiences in fields such as entertainment, tourism, and training. Artificial intelligence has also had a significant impact on mobile app development, enabling the creation of intelligent and personalized mobile experiences. AI-powered features such as voice assistants, predictive analytics, and chatbots are becoming increasingly common in mobile apps, providing users with more intuitive and personalized experiences. The Demand for Mobile Solutions is Growing As more and more businesses and individuals…

Sales Performance Increase 200% With Generative AI

Sale is basically activities of email and conversation which are creative and manual. Sales is not only finding customers and talking about the products with hoping they will buy them. Researching customer behavior, and customizing content to be suitable for particular customers takes a lot of time. That is why sales are well-suited to the capabilities of generative AI models. Selling is interaction and transaction-intensive, producing large volumes of data, including text from email chains, audio of phone conversations, and video of personal interactions. These are exactly the types of unstructured data the models are designed to work with. The creative and organic nature of selling creates immense opportunities for generative AI to interpret, learn, link, and customize. Generative AI sometimes draws wrong, biased, or inconsistent conclusions. Although the publicly accessible models are valuable (hundreds of millions of users like us have already used ChatGPT to query the knowledge base on practically every topic), the true power for sales teams comes when models are customized and fine-tuned on company-specific data and contexts. This can be expensive and requires scarce expertise, including people with significant knowledge of AI and sales. So how can sales organizations harvest the value without wasting energy on heading down unproductive pathways? Before we get into how consider What Generative AI will assist sales optimizing performance. Remove Administrative Duties The fact, the more customers you have the more administrative tasks you have to do. If the amount of customers is around 10-100 people, you find it easy to remember every piece of information like the email address, hobbies, behavior, and content of your conversation with them. If there are hundreds of customers you have to care about, it’s impossible to handle the giant information in a manual way. AI can automatically log customers’ email, company, and associated conversations, write emails, respond to proposal requests, and organize notes. Supporting Customers is A Piece of Cake Communicating with customers is much easier than before due to the auto chatbot. But for B2B businesses that mostly communicate with customers through email, the application of AI to email is very limited. Because most current email tools only get customers’ general information. By layering on generative AI, the models can produce better recommendations. One example would be considering customer sentiments gleaned from the nuances of language and subtle signals of customer interest or distrust — in emails, conversations with salespeople, posts on social media sites, and more. Further, the salesperson can collaborate with the system to improve recommendations in real time. For example, after receiving a suggestion to approach a customer with a new offering, the salesperson can dig deeper — both vertically into the customer’s own needs and horizontally to find other customers who might benefit from the same offering. An interactive, conversational user interface makes the application easy to use. In a truly collaborative seller-buyer environment, even the buyer can be part of the dialog. Assisting Learning and Reading Business Reports According to the investigation, learning and reading business reports and…

How To Outsource Software Development – Detailed Guideline

If you have read the article App Development For Your Business, you will know that app development in particular, or software development in general has to go through many steps, and the cost is not cheap. Therefore, to ensure that the money and effort spent on software development are right, businesses need to plan meticulously and in detail in choosing the right software developer for them. How to outsource software development? And What does a business need to know before outsourcing software development? Before going into how to outsource software development, we need to know about 2 terms, Procurement, and Request For Proposal (RFP). It sounds so technical, but you can simply understand one is the act of buying, and selling services, and the other is bidding. Procurement as a general business practice can be defined as: “The act of obtaining or buying goods and services. The process includes the preparation and processing of a demand as well as the end receipt and approval of payment. It often involves: ・Standards determination; ・Supplier research and selection; ・Value analysis; ・Price negotiation; and ・Making the purchase.” In other words, procurement refers to the basic process of securing goods or services from an external business or consultant. A request for proposal, as the name suggests, is an invitation for external businesses or consultants to apply to provide your company with specific goods or services. Investopedia.com describes RFP in the following terms: “A request for proposal (RFP) is a type of bidding solicitation in which a company or organization announces that funding is available for a particular project or program, and companies can place bids for the project’s completion. It outlines the bidding process and contract terms and provides guidance on how the bid should be formatted and presented.” Additionally, an RFP establishes specifications describing the particular solution that the company is seeking and the evaluation criteria according to which proposals will be assessed. We understand the key terms and now dig deeper into the way we become a partner with software developers. Make Your Needs Clear Understanding your needs, your proposal will also be clear and easy to understand. So, how do you determine the exact requirements of your business? Just by understanding the term “need assessment” you will be able to identify gaps in your proposal and analyze them. Businessdictionary.com defines needs assessment — otherwise known as “gap analysis” — as: “A technique that businesses use to determine what steps need to be taken in order to move from its current state to its desired, future state. Gap analysis consists of: ・Listing of characteristic factors (such as attributes, competencies, performance levels) of the present situation (‘what is’), ・Listing factors needed to achieve future objectives (‘what should be), and then ・Highlighting the gaps that exist and need to be filled. Gap analysis forces a company to reflect on what kind of business it is at present and to ask what kind of business it wants to be in the future.” In other words, don’t just take another company’s proposal template and apply it…

Creating a Customer Experience Ecosystem With Generative AI

The global economic outlook for 2023 is among the weakest in decades, with global real GDP growth forecast to increase by 2.3% in 2023, further down from 3.3% recorded in 2022. Though global inflation is expected to moderate from 9.1% in 2022 to 6.8% in 2023, it is still at historic highs. The high costs of living, rising interest rates, and ongoing geopolitical uncertainties will continue to dent private consumption and investment in many parts of the world, undermining the global growth outlook. Customers will hesitate to spend money on expensive things due to rising inflation.  The problem for businesses is How to create an environment that encourages customers to buy? The answer is to build a Customer Experience Ecosystem. Create a Customer Experience Ecosystem as the solution. Developing a Customer Experience Ecosystem will be easier than ever thanks to the advancement of generative AI. But what exactly is a customer experience ecosystem, and how can you create one? Let’s find out through this article. What is a Customer Experience Ecosystem? Ecosystem = living and non-living things that make up an environment and affect each other. Customer Experience Ecosystem aka Business Ecosystem includes customers, staff members, distributors, partners, agencies, competitors, rituals (planning, funding, evaluating, rewarding, reporting, communicating, advancing, and training), and the logistics and interactions between all of these stakeholders and rituals. Like a rainforest ecosystem, you must think holistically about the interdependencies of all elements. Think about the food chain, what informs what, who influences whom, who needs whom, what makes things tick, and what gets in the way of success. Therefore, creating an ecosystem for the consumer experience requires an awareness of how ecosystem components interact. Many firms have used customer interactions to collect data, evaluate that data, and then modify their marketing initiatives and business plans to cater to different client segments. They have a better understanding of clients and a better strategy for dealing with them, which makes them stand out from rivals in every way. How can We Build a Customer Experience Ecosystem? Building an Intelligent Experience Engine New digital media create new ways for users to interact with brands. Location-based tracking and payment systems activated by the swipe of a hand blur the lines across prepurchase (advertising/marketing), purchase (sales/transaction), and postpurchase (service/loyalty) interactions. These capabilities have created intelligent ways to reshape customer experiences, and they enable brands to be distinctively valuable and deepen engagement. Starbucks, for example, geo-targets lapsed customers who are near its stores with ads about new seasonal beverages, and it sends customers personalized in-app offers to encourage them to visit a store or to try their convenient mobile order-and-pay option. Building an Intelligent Experience Engine means building an end-to-end experience but focusing on each micro goal on the journey. Think about how to design the flow of a given moment. Because each positive individual moment creates an overall customer experience. At each moment what information should be provided to the customer? Suggestions for customers to use the cross-channel or cross-party which will be most convenient? Connect…
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