The Ultimate Mobile App Development Guide in 2022

Aditya Chakurkar | December 24, 2021 | 62 views

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Our lives will be facilitated by a myriad of adaptive applications running on different devices, with different sensors, all of them collecting tidbits about everything we do, and feeding big digital brains that can adapt applications to our needs simply because they get to know us.”

Márcio Cyrillo, Executive Director at CI&T

The world of technology has been advancing at a very fast pace, and the impact of the internet on our lives is significant. The mobile phone has become an integral part of our life, and its usage has increased manifold over the years. Mobile apps have changed the way we live.

Today,  numerous mobile apps are available that provide us with necessary information about businesses, entertainment, and more. Moreover, many people earn their livelihood by designing mobile apps for others or providing mobile app services via freelancer portals. If you are interested in learning about the mobile app development process, the best language to develop mobile apps, stages of mobile app development, and mobile app development framework,  this article can help you understand some concepts behind it.

What is mobile development?

Mobile app development is how a mobile app is created for a smartphone or tablet. It can be done by a developer, who may be employed by a company or freelance, or by a user who creates an app independently. There are different platforms that apps can be developed for, such as Android and iOS. There are several app development processes with diverse programming languages such as python mobile development, java mobile development, C++ app development, Dart app development, etc.

The first step in the mobile app development process is usually to develop an idea for an app. This may involve researching what apps are already out there and seeing if there is room for another or brainstorming ideas and then sketching out how the app would work. After the concept has been finalized, the next step is designing the mobile app development framework.

Mobile App Development Process

When designing or developing a mobile app, the first step is to determine if there is a demand for it. Many apps have been developed and launched without assessing this market aspect. A study conducted by a famous tech company revealed that over a third of downloaded applications are never used after being installed. A total waste, both of time and money!

This initial assessment does not require much input from the developer, as all that is needed is to look at how popular existing apps in the same field are. However, if certain aspects such as payment modes or form factors need to be precisely determined, those who work on designing can be asked what they think will work best for this application.

Pre-Development

This is the most fundamental stage of the mobile app development process. It encompasses the following considerations:

● Cost to expect
● Tech stack choices
● App development language
● The current mobile app market
● Basics of the mobile app to be developed
● UX/UI design
● Analysis and planning

Development

No matter what language you choose to develop a mobile app, teamwork is the ultimate driving force behind achieving the best results. Skilled developers can follow an agile methodology to develop a great mobile app while focusing on the following factors:

● Singular functionality
● Flexible planning
● Step by step development
● Early deployment
● Progressive enhancements
● Testing and reviewing

Post-Development

Once you finish the mobile app development, you must ensure it keeps running and performing. For that, you need to consider the following factors:

● Mistakes to avoid post mobile app launch
● Commercialisation of the app
● Mobile app promotions
● Costs involved
● Maintenance
● Upgrades

How to Choose the Best Language for Developing Mobile Apps?

When it comes to developing mobile apps, you have a lot of different programming languages to choose from. But which one is the best language for developing mobile apps?

Here are some factors to consider when making your decision:

The language’s popularity

The more popular a language is, the more support and resources you’ll have access to. This is important, especially if you’re new to app development.

The language’s ease of use

Not all languages are created equal – some are easier to learn than others. If you’re new to programming, choose an easy language to learn.

The language’s capabilities

Every language has its own set of features – some are better suited for mobile app development than others. Choose a language that has the features and capabilities you need.

The language’s platform support

Not all languages are supported by all mobile platforms. Make sure the language you choose is compatible with the platform you’re targeting.

Your development team’s skillset

The mobile app development process varies with languages – some are more difficult to learn than others. Make sure the language your development team is comfortable working with is on the list.

Your budget

The mobile app development process can be expensive – especially if you choose a language that requires special tools and/or support. Choose a language that is affordable for your project.

The language’s prospects

The language you choose should have a bright future, with plenty of room for growth. This is important, especially if you plan to continue developing your app over time.

When deciding the best language to develop mobile apps, it’s essential to consider all of these factors. Then,  by choosing the appropriate language, you can make the mobile app development process easier and more efficient – resulting in a better app in the end.

Python Mobile Development with Examples

Python is one of the most popular programming languages in the world. Most programmers prefer python mobile development because it is easy to use and relatively less inexpensive than other languages. Several social media giants like Instagram and Spotify use Python for its ability to create a seamless user experience. The following are the examples of Python apps:

● Reddit
● Uber
● Dropbox
● Disqus
● Pinterest

Mobile is the enabling centerpiece of digital convergence. Mobile is the glue for all other digital industries to use when approaching convergence, but mobile is also the digital gateway for the real world to join in this global metamorphosis of human behavior.”

Tomi Ahonen, consultant and speaker

Frequently Asked Questions


What is required for developing a mobile app?

The mobile app development process is about creating software apps that run on mobile devices and tablets. Some apps use the network connection to work with other resources. Generally, you have to consider the following things to develop a mobile app:

  • Developing installable assets like code or binaries
  • Executing backend services
  • Application testing on target devices


What is the future of mobile app development?

According to the data from Statista, around 28 billion apps were downloaded from Google Play Store and 7.9 million apps were downloaded from App Store in 2021. By the end of 2022, it is estimated that the US will spend more than $34 billion on mobile apps via app stores.

What types of mobile apps are in demand in 2021?

We love mobile apps as they bring the world to our palms. The following are the most popular and demanded types of mobile apps in 2021:

  • Gaming apps like PubG, Call of Duty, PokemonGo
  • Healthcare apps like Better Help, Teladoc, MDacne
  • Transportation apps like Uber, Rapido, Porter, BlackBuck
  • Food delivery apps like Zomato, Swiggy, UberEats
  • Social Media apps like Instagram, Facebook, Snapchat

Spotlight

IndiaNIC Infotech Ltd

"IndiaNIC is one of the most trusted offshore development companies today. In a few years, the company witnessed a roaring success and growth in both the workforce of over 500 employees and a wide range of services such as mobile application development, 3D animation, android applications and almost everything under the hood of computing and communication technology. "

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Is Progressive Web Apps the Way of the Future for Mobile?

Article | July 13, 2022

Progressive Web Apps (PWAs) enable cross-platform interoperability by giving users access to open web technologies. PWAs give your users an app-like experience that's tailored to their particular device. PWA development is a collection of best software development practices for making a web application behave like a mobile or desktop app. PWAs work similarly to mobile apps providing push notifications and a home screen icon. Progressive web applications, on the other hand, are more straightforward and faster than standard mobile apps, and they can be shared via a URL. According to Statista, there are around 3.5 billion smartphone users globally who utilize a variety of devices with various connection speeds and constantly changing conditions. Web App Vs. Progressive Web App The number of mobile users has expanded dramatically in recent years, necessitating the development of a better mobile web experience. Smartphones are utilized for a variety of purposes, such as reserving a cab or finding the nearest restaurant. Users expect a positive experience with their mobile devices in order to complete these tasks quickly. However, traditional websites are unable to give that experience for a variety of reasons, ranging from poor loading speeds to ambiguous user interfaces. Here's where web apps come in, which provide a better user experience regardless of the device or browser you're using. A typical web app is a website that can be accessed using a URL. Furthermore, these web apps contain several features that give them the appearance and feel of native apps, but they cannot be installed on any device. A progressive web app is the next step that can be installed on a device and appears and feels like a native app. You don't need to use a URL; just install a PWA on your device and run it like any other native app by clicking its icon on the home screen. Case Study Pinterest Pinterest built its new mobile web experience from the ground up as a PWA, with an eye toward worldwide expansion. However, due to poor mobile performance, the social network discovered that only 1% of its mobile users converted into sign-ups, logins, or app installs. Realizing that there was a big chance to boost conversion, they rebuilt the mobile web utilizing PWA technology, which resulted in a number of excellent outcomes: when compared to the prior mobile web, time spent is up 40%, user-generated ad income is up 44%, and core engagements are up 60%. Ali Baba Users of Alibaba's app were dissatisfied with their experience and refused to download or install the app. As a result, Alibaba had to make a progressive web application to make the experience much better for both first-time users and regular customers. As a result, seasoned users were re-engaged thanks to a significantly better experience for first-timers, push alerts, and home screen shortcuts. Alibaba could swiftly improve its re-engagement rate to match that of its native apps. To Sum It Up Developers may create the most excellent progressive apps using standard frameworks like React, Angular, Vue, Polymer, Ionic, and others, which have several advantages over native mobile apps and regular web pages in terms of functionality, user offline experience, and device space usage. Because of their superiority to native desktop and mobile apps in recent years, Progressive Web Programs have emerged as a wonderful alternative to those apps. PWAs take up less space on consumers' smartphones than native apps, encouraging people to install them. Because of caching capabilities, PWAs can work offline because some content is cached during the first visit to the app. Developing a great progressive web app necessitates a strong working relationship with a technical partner. Larger companies can also tap into the PWA industry by giving their users limited access to a PWA and then letting them pick how they want to continue. Overall, you should invest in PWA in 2022 since user experience is critical in this competitive market.

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What Are The Best Programming Languages To Develop AI Solution

Article | June 10, 2022

As Artificial Intelligence becomes more popular, it’s essential to know the best programming languages AI uses. If you’re trying to code an AI software solution and don’t know which programming language(s) to use, it can hinder – even hurt – your development process. However, there are a lot of choices when it comes to programming languages you could use to develop an AI solution. So if you’re wondering what the best programming languages for AI are, you’re at the right place! Top 12 The Best Artificial Intelligence Programming Languages 1. Python Python development is one of the most popular programming languages globally and a top choice for AI developers. It’s easy to learn, runs on multiple platforms, and provides an interactive environment that allows you to quickly test ideas and make changes without waiting for a compile or deployment phase. Python development is also one of the fastest-growing languages in popularity and employment opportunities. You can use Python development in various AI applications, including natural language processing (NLP), machine learning, deep learning, and robotics. Python development has also been used in data science applications such as web scraping, web crawling, and scraping data from websites. 2. LISP LISP stands for List Processing Language or LISt Processor. It is a functional programming language that makes it easy to create functions that can manipulate lists of data items. John McCarthy created this language at MIT in 1958. It remains in use today because it is still an excellent vehicle for research in logic programming and because of its continued wide use in artificial intelligence applications such as natural language processing for semantic web applications. LISP is also great for creating neural networks because it can easily manipulate the network’s weights, which is usually the most challenging part of building a neural network. 3. R R is a free software environment for statistical computing and graphics that runs on multiple platforms, including Windows, Unix, macOS X, and Linux operating systems. Ross Ihaka created R and Robert Gentleman at the University of Auckland, New Zealand, in 1993, originally under the name “S.” R provides different analysis methods such as linear regression, generalized linear models, time series analysis, classification, and clustering. The main advantage of using R is that it allows users to develop complex algorithms without having to write complicated code or spend time debugging the code. Its popularity has increased significantly over time due to its ease of use and flexibility from simple linear regressions to multi-level modeling approaches. 4. C++ It is one of the most popular and widely used programming languages for developing AI solutions. It is a general-purpose language used to create software applications, operating systems, and other programs. Bjarne Stroustrup originally developed C++ to enhance C with object-oriented features. Its popularity has increased due to its ability to support multiple paradigms, including object-oriented programming (OOP), imperative and procedural programming techniques, generic programming, and others. 5. JavaScript Netscape Communications Corporation developed JavaScript in 1995, but the standardization of JavaScript only began in 1997 when Ecma International adopted it as ECMAScript. JavaScript is a programming language used by over 65% of developers to create interactive web pages. It is prevalent because you can run it on all modern browsers without installing plug-ins or additional software. You can use JavaScript to create web pages and applications on web browsers and mobile devices like smartphones and tablets. JavaScript also has an object-oriented structure, making it easy for programmers to build complex programs using multiple objects. 6. Java Java is one of the most popular programming languages in the world. As a platform, it has excellent support for AI development. You can use Java for developing machine learning algorithms, deep learning frameworks, and other tools. Many of the most popular libraries and frameworks are written in Java, including Hadoop and TensorFlow. Java is also very popular with enterprises because it has excellent performance, scalability, and portability across different operating systems and hardware platforms. 7. Haskell Haskell is an excellent choice for AI development because it allows for the use of a functional programming paradigm. It means that it will enable you to write your code in a way that focuses on composing functions together instead of focusing on variables and data structures. While this may not seem like a big deal, it makes it easier to reason about your code and make changes without introducing errors. Haskell also has strong type inference capabilities, which allow you to focus on what your program does rather than how it does it. It also makes writing tests and ensuring that your code works as expected without manually testing every possible case. 8. Julia Julia is a high-level, high-performance programming language that makes coding fast and efficient. It’s great for AI development because it’s flexible and easy to learn. Julia combines the speed of C with the usability of Python, making it ideal for numerical computing. Julia is a multi-paradigm programming language that allows you to write code in numerous styles – from functional to imperative, object-oriented to metaprogramming – all within the same program. You can hire an AI developer to take advantage of the best tools for each task instead of forcing everyone down a single path. 9. Prolog One of the most popular programming languages for developing AI solutions is Prolog. It was developed in 1972 and used for decades as a powerful logic programming language. Prolog uses an underlying theory called predicate logic based on facts, rules, and inference. Prolog became popular due to its ability to represent knowledge in a form that can be queried and reasoned about. It makes it ideal for solving problems that require reasoning about the world. Another reason Prolog is so famous for developing AI solutions is because it allows you to hire AI developers to combine logic programming with declarative programming through pattern matching and unification. 10. Scala Scala is a general-purpose programming language that runs on the Java virtual machine. It can be used in distributed and parallel systems, developing scalable software applications. Scala is easy to learn because it integrates object-oriented languages with functional programming features. It was developed by Martin Odersky in 2001 at École Polytechnique Fédérale de Lausanne in Switzerland as an academic research project. Many companies have used Scala to develop AI applications. It has an advantage over other programming languages because it allows to hire AI developers to get the best of both worlds, i.e., object-oriented and functional programming paradigms. Scala is statically typed and uses JVM for execution. You can use Scala for building web applications and big data applications. 11. RUST The Rust programming language is one of the most popular languages for developing AI solutions. It was developed by Mozilla and was released in 2010. The main goal of Rust is to provide a safe, fast, productive, and memory-safe language. Performance is one of the main features of the rust programming language because it can work on a low level with C/C++ and other systems programming languages. Rust is also suitable for machine learning because you can use it to write efficient code without sacrificing safety or performance. 12. Wolfram Wolfram is a programming language and environment for technical computing, data science, and machine learning. Students, teachers, researchers, and commercial developers worldwide develop applications that range from technical and scientific to financial analysis, music generation, and art creation. Wolfram is a great place to start if you’re new to programming because it has a clean syntax that makes it easier to understand than other languages. It’s also inherently visual – you can build your code by dragging blocks together on a canvas. So you don’t need to spend time learning how to write code from scratch before getting started.

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Web 3.0: New Horizon of Internet

Article | July 14, 2022

Web 3.0, or as it is commonly known as Web3, is the future avatar of the world of the internet and it is based on decentralization. The present-day internet, or Web 2.0 as it should correctly be referred to, has contributed a lot more to transforming the way we live than any other tool in the universe. Web2 has been a key part of building the digital world we live in today, from Snapchat and Instagram filters to using Augmented Reality (AR) to catch Pokémon. Web3 and Metaverse are the most popular buzzwords today. With the decentralized network, Web 3.0 means that instead of having a few large companies control all the data, users will have equal access to control their data. Web3 also promises to enhance data and network privacy. What does Web 3.0 Mean for Businesses? Web 3.0 presents enormous opportunities for businesses. Let’s explore some of the ways in which Web3 will benefit from this new technology. Enhance Transparency and Trust Web 3.0 technology may help organizations and their consumers boost transparency and trust. Blockchain technology, for instance, can contribute to the creation of a tamper-proof record of transactions. This would help businesses increase customer trust by giving customers a clear picture of how they do business. Increased Security Presently, in Web 2.0, all of your data is saved in one spot in a centralized system. As a result, it is prone to exploitation. However, nothing is more crucial to a company than data security. Web 3.0 technologies decentralizes your data and assists in increasing its security. Deeper Customer Insights Web 3.0 can also help organizations acquire customer insights. How? Web 3.0 brings in data anonymization that allows businesses acquire customer data without fetching their personal data. It also helps businesses scale consumer data at large without any compromise on privacy. The data then gathered through customer insights can be utilized to enhance products and services. Finer Data Searchability Businesses can also deploy Web 3.0 technology to improve the searchability of their data. Using technologies for the semantic web can help make a data web that is easy for machines to search. This would make it easy for companies to get the information they need quickly and without wasting money or time on manual data searches. Better User Experience (UX) By offering a more customized web, Web 3.0 technologies can assist in enhancing the user experience. Artificial intelligence and machine learning algorithms can assist in giving each user a personalized experience that is suited to their specific requirements. As a result, consumer satisfaction and loyalty will rise. Web 3.0 Possible Business Applications Some of the most common possible areas where Web3 will definitely have an effect are: Social Media Web 3.0 transforms how app developers create social media apps. It returns ownership of data from platforms to end-users, making story-spinning and data exploitation impossible, as in the Facebook Cambridge Analytics Scandal. Currency Exchange Service Centralization fails in money exchange. Mt. Gox's $460 million bitcoin hack is a failure. Decentralized exchanges prevent hacker breeding grounds. Web 3.0 will see decentralized exchanges gain popularity for smooth user trades without hackers or lack of transparency. Messaging Platforms Messaging has always played an essential role in our lives. At work, Slack and Telegram replace Facebook Messenger and WhatsApp. Unsafe message transmission and centralized solutions make messaging systems exploitable. Web 3.0 messaging applications like ySign, Obsidian, e-Chat, etc., leverage Blockchain to protect users' privacy and security. Summing-up The Internet's evolution has been substantial, and this trend will undoubtedly continue. Web 3.0 will revolutionize the way we engage with the digital world, and the transition will affect more than just individuals. This will lead to more honest and transparent use of customer data, from tailored search results to cross-platform development tools and 3D graphics. A much more immersive and engaging web is on the way. The new Internet will be around very soon! Let's welcome Web 3.0 with open arms!

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Natural Language Processing: An Advanced Implementation of AI

Article | June 1, 2022

Natural Language Processing, also known as computational linguistics or NLP, is a branch of Artificial Intelligence (AI), Machine Learning (ML), and linguistics. It is a subfield of AI that enables computers or machines to understand, manipulate, and interpret human language. Simply put, natural language is the natural method by which humans communicate with one another. We have now trained computers to interpret natural language. Communicating with computers has become simpler with voice queries such as "Alexa, what's the news today?" or "Ok Google, play my favorite songs." Similarly, when you ask Siri, Apple's voice assistant, "What is the cheapest flight to New York later today?" It instantly searches airline and travel websites for flights from the user's location to New York. It also compares the prices and lists the one with the lowest fare first. So, even without specifying a date or the "lowest fare", Siri understands the inquiry and returns accurate results. This is the result of NLP in action. Natural Language Processing: Business Applications Natural language processing has a variety of applications, some of them are listed below. Summarize text blocks to extract the most relevant and core concepts while excluding unnecessary information. Develop a chatbot that makes use of Point-of-Speech tagging to enhance customer support. Chatbots are AI systems that use NLP to engage with people through text or voice. Determine the type of extracted entity, such as a person, location, or organization. Sentiment Analysis can be used to recognize the sentiment or emotions of a text string, ranging from highly negative to neutral to very positive. HR teams can utilize NLP-based solutions to scan resumes based on keyword synonyms and swiftly shortlist candidates from a pile of resumes. Extracting Text data from the data storage allows in extracting specific information from text. Text can be broken down into tokens, or words can be reduced to their root or stem. Topic categorization helps users organize unstructured text. It's a great way for businesses to obtain insights from customer feedback. How Can Businesses Prepare for the NLP-Powered Future? NLP has evolved tremendously, and has benefited both companies and consumers. NLP technologies are assisting businesses to better understand how consumers perceive them through channels such as emails, product reviews, social media postings, surveys, and more. AI technologies can be used not just to analyze online interactions and how people speak about companies but also to automate tedious and time-consuming operations, enhance productivity, and free up staff to concentrate on more meaningful duties. When it comes to NLP the sky is the limit. As NLP technology is becoming more prevalent and greater advancements in ability are explored, the future will witness enormous shifts. Here are some of the ways in which businesses can prepare for the future of NLP. Analyze your company's text data assets and evaluate how the most recent techniques can be used to add value. Understand how you can use AI-powered language technology to make wiser decisions or rearrange your skilled labor. Start implementing new language-based AI tools for a range of jobs in order to better understand their potential. Prepare now to capitalize on transformative AI and to make sure that advanced AI contributes to society fairly. Closing Note Thanks to natural language processing technology, conversational commands and everything related to conversational AI in businesses have become faster and better. Natural language processing helps large businesses make flexible choices by revealing consumer moods and market movements. Smart companies now make decisions based not only on data but also on the intelligence derived from NLP-powered system data.

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IndiaNIC Infotech Ltd

"IndiaNIC is one of the most trusted offshore development companies today. In a few years, the company witnessed a roaring success and growth in both the workforce of over 500 employees and a wide range of services such as mobile application development, 3D animation, android applications and almost everything under the hood of computing and communication technology. "

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UJET | August 19, 2022

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Botco.ai Launches Instachat Builder to Enable Rapid AI Chat Deployment

Botco.ai | August 19, 2022

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Zayo Launches API Developer Portal to Accelerate Enterprise Digital Transformation

Zayo Group Holdings, Inc. | August 18, 2022

Zayo Group Holdings, Inc., a leading global communications infrastructure platform, today announced the launch of its Application Programming Interface (API) Developer Portal, providing customers with a single online platform to explore, on-board and test live environments with existing API offerings, and stay informed about upcoming developments. One of the biggest challenges enterprises face when working with multiple vendors is siloed information and data. With Zayo’s API Developer Portal, customers now have a centralized, well-organized, easily navigable repository of information about automating business processes with Zayo. “We want to empower our customers through every step of their digital transformation journey, and APIs are where that journey comes to life in the form of automation at our customers' fingertips. “With our developer portal, customers now have a live environment where they can easily find the information they need to understand, design and build the best software integration strategy to make an impact and drive business results.” Leidy Perez, vice president of product, strategic software at Zayo Currently, Zayo receives hundreds of thousands API calls a month originating from 100+ customers. These requests come through key partners such as Connectbase, ACS Solutions, GeoTel, Upstack, NDA Corp, Masterstream and LMX as well as direct integrations. Benefits of Zayo’s existing API offerings include: Network Discovery: Zayo’s Building Validation, Location, and Cloud Service Provider APIs enable customers to analyze how Zayo’s network availability powers their business footprint. Quote and Order: Customers can grow their business capabilities by leveraging Zayo products in its Product Catalog API, generating quotes with the Quote API, and automating the ordering process through the Order API. Service Management: Customers are able to retrieve critical service information, get support for issues, and keep track of planned outages with the Service Inventory, Ticketing, Ticket Catalog and Maintenance Cases APIs. In addition to the API developer portal, Zayo has started the roll out of MEF API “Lifecycle Service Orchestration” (LSO) Sonata “Billie” release for quoting and ordering as well as performance monitoring. Further incorporation of MEF standards will enable Zayo to better serve its global carrier and enterprise customers to buy services in a standardized way and to automate MEF 3.0 Carrier Ethernet. “Too often, customers must work around their system of record to manage multiple vendors. The swivel-chair of that information back into each system of record causes massive inefficiencies that can impact service delivery time and revenue,” said Stan Hubbard, MEF Principal Analyst. “MEF LSO APIs offer an automated, standardized way for service providers to buy and sell services and maximize return on their investment in interface development. We are excited that MEF LSO Sonata APIs enable Zayo’s innovative API Developer Portal.” About Zayo Group Holdings, Inc. Zayo Group Holdings, Inc. is the leading global communications infrastructure platform, delivering a range of solutions, including fiber & transport, packet and managed edge services. Zayo owns and operates a Tier 1 IP backbone spanning 134,000 miles across North America and Europe. By providing this mission-critical bandwidth to its category-leading customers across the wireless, hyperscale, media, tech and finance industries, Zayo is fueling the innovations that are transforming society.

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AI TECH,AI APPLICATIONS

UJET Launches AI-Modeled Interaction Design to Identify and Value Optimal Virtual Agent Deployments

UJET | August 19, 2022

UJET, Inc., the world’s most advanced cloud contact center provider, today announces advanced AI-guided customer service operations that leverage hundreds of thousands of customer insights to drive enhanced customer experience (CX) capabilities and automated virtual agent responses. “Contact center demand is rising as labor shortages continue. As a result, wait times are longer than ever, service is suffering and customers are rightfully irritable. AI can and should take on a more prominent role to keep businesses running smoothly and customers happy. “Our latest AI technology holds immense potential to transform organizations and when designed correctly, can dramatically improve experiences, enhance efficiency, raise productivity, and drive growth.” Vasili Triant, Chief Operating Officer at UJET UJET’s AI-modeled Interaction Design for Virtual Agents helps companies identify the most common customer needs, informed by large-scale AI insights directly from customers, and then automates their resolution without consuming countless staff hours. Leveraging conversational AI and machine learning powered by Google’s CCAI Insights, UJET architects a contact center’s optimization roadmap to unlock the human and machine capabilities. With topic and conversation analysis, companies can get a prioritized list of the virtual agents they need to make the biggest difference for CX. This improves key customer care metrics such as wait time, self-service rate, first-call resolution and much more. The data gathered has dozens, if not hundreds of actionable insights and capabilities, including: Resolving recurring points of customer concerns, such as issues with payment methods, passwords, website/app rendering on different platforms and much more. Proactively address rising trends in complaints or returns before they become a bigger problem. Harnessing customer insights based on repeated requests for new product lines or enhancements to existing products/services. Gathering competitive intelligence directly from end-users. Hear directly from customers on what they liked or didn’t like with a previously tried competitor. "There's tremendous value in contact center data, and most current use cases leverage call data to automate answers to common questions. While a good start, UJET is using Google AI to go even further. This solution is using contact center data to optimize the entire CX flow by first identifying the best opportunities for automation,” says Dave Michels, principal analyst and founder of TalkingPointz Research. “With UJET, companies get massive-scale analysis of actual customer data, prioritized ideal use cases for virtual agents, and a detailed ROI and value analysis on those use cases. This use of conversational AI focuses more on overall CX rather than just automation.” UJET offers a fundamentally different way of thinking so companies can make automation their competitive advantage and help customer experience shift from cost center to value creator. About UJET UJET is reimagining the contact center for modern consumers and brands. Our one-of-a-kind architecture delivers an entirely new foundation for security, reliability, and scale across customer service operations. A full voice and digital engagement suite is complemented by powerful AI and advanced analytics capabilities, and easy-to-use, intuitive design to make life easier for everyone involved - from customers and agents to supervisors and executives - all while driving meaningful operational efficiencies. Smart device capabilities like channel blending, photo and video sharing, and biometric authentication are available to deploy for full CX transformation when you’re ready. Innovative brands like Instacart, Turo, Wag!, and Atom Tickets trust UJET to deliver exceptional CX, no matter their size or location. So can you.

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GENERAL AI,AI APPLICATIONS,INNOVATION

Botco.ai Launches Instachat Builder to Enable Rapid AI Chat Deployment

Botco.ai | August 19, 2022

Botco.ai, the leading HIPAA-compliant conversational marketing solution, announced today the launch of Instachat Builder, a new product that accelerates AI chat deployment by allowing Botco.ai customers to directly train Botco.ai’s chatbot on any type of text information. Traditionally, chat applications required extensive manual training before they could begin fielding customer questions, but with Instachat Builder, companies can train Botco.ai’s conversational AI platform on any relevant text information in minutes. This new approach enables teams to launch intelligent chatbots immediately — thereby speeding up deployment, boosting response rates, and reducing fallbacks. "Historically, launching a chat application was time-consuming. "Companies needed to manually formulate the question and answer pairs they wanted their AI chat to handle. Instachat Builder shortcuts this entire process by automatically transforming any relevant text into training material, allowing our customers to launch powerful chatbots capable of instantly answering hundreds or thousands of questions — with only a few clicks.” Jacob Molina, Product Manager at Botco.ai Instachat Builder is an AI-driven application that derives question-and-answer training pairs from PDFs, HTML files, document files, call center transcripts, or any other kind of text information. Users can feed Instachat Builder presentations, product manuals, FAQ pages, etc., and the application automatically extracts the relevant content. After extraction, Instachat Builder translates the relevant raw content into question-and-answer pairs that can be used to train AI chatbots. Users can review all automatically generated pairs before they are used for training. The Instachat Builder is powered by a combination of machine learning and natural language processing (NLP), two technologies which Botco.ai has notably pioneered in the conversational marketing cloud. Instachat Builder helps Botco.ai customers by providing: Faster deployment: Instachat Builder accelerates the training process, allowing users to launch intelligent chat on day one with predictable 98% accuracy. Improved response rates: Instachat Builder improves response rates by enabling users to rapidly expand the range of topics intelligent chat can competently handle. Instant marketing insights: Marketers receive conversational reporting data directly following deployment, gleaning insights on the user journey, customer retention, SEO and more. Reduced fallbacks: Instachat Builder reduces the need for human intervention by making it easy to develop highly-capable intelligent chat. “The issue with AI-driven chat has always been doing the work required to deploy,” said Chris Maeda, Co-founder and CTO at Botco.ai. “That is where Instachat Builder comes in. Using this tool, we are able to transform useful content that companies have on hand into training material, cutting a process that used to take weeks down to a few minutes. Give us your existing text documents and we’ll give you a chat application." About Botco.ai Botco.ai is a HIPPA-compliant, AI-powered conversational marketing cloud solution that can be implemented at scale to improve engagement rates. Today, the company offers industry-leading authoring, webchat, and AI machine-learning capabilities to quickly and effectively convert more customers in healthcare, wellness, addiction, behavioral health, physical therapy, and senior living centers. Botco.ai's Integrated Analytics Dashboard provides a comprehensive view of chat campaigns across multiple messaging channels such as web and Facebook Messenger. The API-based interface can be used to transfer leads, transcripts, and data into enterprise sales and marketing automation products like Salesforce, Hubspot, Adobe Marketing Cloud, Zoho as well as leading EHR and scheduling systems. Botco.ai is the recipient of the Arizona Innovation Challenge "Most Outstanding Startup" award and a graduate of Alchemist Accelerator Class XXV, the #1 accelerator for enterprise startups.

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SOFTWARE,FUTURE TECH

Zayo Launches API Developer Portal to Accelerate Enterprise Digital Transformation

Zayo Group Holdings, Inc. | August 18, 2022

Zayo Group Holdings, Inc., a leading global communications infrastructure platform, today announced the launch of its Application Programming Interface (API) Developer Portal, providing customers with a single online platform to explore, on-board and test live environments with existing API offerings, and stay informed about upcoming developments. One of the biggest challenges enterprises face when working with multiple vendors is siloed information and data. With Zayo’s API Developer Portal, customers now have a centralized, well-organized, easily navigable repository of information about automating business processes with Zayo. “We want to empower our customers through every step of their digital transformation journey, and APIs are where that journey comes to life in the form of automation at our customers' fingertips. “With our developer portal, customers now have a live environment where they can easily find the information they need to understand, design and build the best software integration strategy to make an impact and drive business results.” Leidy Perez, vice president of product, strategic software at Zayo Currently, Zayo receives hundreds of thousands API calls a month originating from 100+ customers. These requests come through key partners such as Connectbase, ACS Solutions, GeoTel, Upstack, NDA Corp, Masterstream and LMX as well as direct integrations. Benefits of Zayo’s existing API offerings include: Network Discovery: Zayo’s Building Validation, Location, and Cloud Service Provider APIs enable customers to analyze how Zayo’s network availability powers their business footprint. Quote and Order: Customers can grow their business capabilities by leveraging Zayo products in its Product Catalog API, generating quotes with the Quote API, and automating the ordering process through the Order API. Service Management: Customers are able to retrieve critical service information, get support for issues, and keep track of planned outages with the Service Inventory, Ticketing, Ticket Catalog and Maintenance Cases APIs. In addition to the API developer portal, Zayo has started the roll out of MEF API “Lifecycle Service Orchestration” (LSO) Sonata “Billie” release for quoting and ordering as well as performance monitoring. Further incorporation of MEF standards will enable Zayo to better serve its global carrier and enterprise customers to buy services in a standardized way and to automate MEF 3.0 Carrier Ethernet. “Too often, customers must work around their system of record to manage multiple vendors. The swivel-chair of that information back into each system of record causes massive inefficiencies that can impact service delivery time and revenue,” said Stan Hubbard, MEF Principal Analyst. “MEF LSO APIs offer an automated, standardized way for service providers to buy and sell services and maximize return on their investment in interface development. We are excited that MEF LSO Sonata APIs enable Zayo’s innovative API Developer Portal.” About Zayo Group Holdings, Inc. Zayo Group Holdings, Inc. is the leading global communications infrastructure platform, delivering a range of solutions, including fiber & transport, packet and managed edge services. Zayo owns and operates a Tier 1 IP backbone spanning 134,000 miles across North America and Europe. By providing this mission-critical bandwidth to its category-leading customers across the wireless, hyperscale, media, tech and finance industries, Zayo is fueling the innovations that are transforming society.

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