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Brand Strategies for Conversational Interfaces

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Arte Merritt

At Dashbot, we recently hosted a meetup in NYC to discuss brand strategies in conversational interfaces. As the space continues to mature, more brands are getting involved and moving from experimental to production deployments. We assembled a great group of industry experts to share their thoughts and tips for brands looking to build a chatbot or voice skill.

Our panelists included:

At IBM, they work with everyone from individual developers to Fortune 20 enterprises. The most common use case, though, is customer care. Large enterprises go to IBM given their ability to handle sensitive data across industry and geographic regulations.

Google works with a similar range of users and enterprises. The use cases for Google Assistant Actions depend on the context — in the home (recipes, home automation), mobile (games, local search), or in the car on the go (communication, messaging).

Reprise Digital, a global marketing agency, tends to work with brands looking to experiment on a new platform, market their products, or provide information and FAQs. Given voice is a new platform, there are some set of brands that want to be first on it. We also see this frequently with innovation teams experimenting in voice. On the text chatbot side, Reprise generally sees brands looking to promote their products or answer FAQs.

Realogy, the real estate holding company for Century21, Coldwell Banker, Sotheby’s, and more, developed its own voice skill, AgentX. Agent X is a productivity skill that enables real estate agents to quickly get information, including their appointments, market research, and listing information — all without the need to open their laptop.

Context is key

In addition to the three contexts Alec pointed out earlier (in the home, mobile, and in the car), he recommended also considering when will the user interacts with the chatbot and how the user expects to interact with it. If the user is in the car, they cannot use their hands. If they are at home getting a recipe, having something visual can help. If the user wants to play a game, but is on a device without a screen, perhaps a quiz is better.

Whether the interface is voice enabled or text only is important. As Anamita points out, users talk differently than they type.

Trust can also be an important factor. As IBM works with many global enterprises handling sensitive data, one of the areas Anamita sees is that a user may be more likely to trust interacting on a computer, where identity can be more easily verified, rather than via voice.

Leverage the conversational nature of interfaces

At Reprise, Antonio sometimes sees brands who want to port what they currently have on their website or mobile app to a chatbot or voice interface. Whereas the website is all about navigating from one link to the other to vertically drill into what the user is looking for, with conversation, a user should be able to say, or write, what they want and directly get to the information.

Similarly with Realogy, agents are looking for information that is stored in a variety of locations and want to be able to retrieve it quickly and easily. A powerful example of Agent X is when a listing agent is in a presentation with a seller and wants to know the average time on the market or average listing price for a property, they can quickly get the info, without the need to open a laptop and start searching.

As Alec adds, there is a low tolerance amongst users of voice skills. If the skill is not useful, or they do not see the value right away, they will jump to something else. If they see a great use case, they will invest the extra time. It is important not to replicate what you already have on your website or app, but to consider what will add value to the user and what is faster to use.

Keep it simple, provide guidance

As Alec pointed out, with voice, it is especially important to keep interactions simple rather than complex back and forths. For example, placing an order for food delivery from scratch can be rather complex. However, re-ordering a previous delivery is much easier, and better suited to voice. We see the same thing with the food delivery clients we work with. We also learned from our voice survey, that approximately 53% of purchases through voice interfaces is for food delivery.

In general, the process Alec sees developers follow with Google Actions is to first build the foundation and make sure the Action works, next layer in visuals and make it more interactive, and finally delight the user so they come back and re-engage.

Simplicity was also a key goal for Realogy. One of the most popular use cases is just looking up real estate listings. They plan to build new capabilities where it makes sense. They are not just doing voice for voice sake.

To get started, Brian recommends going through the design exercise at https://alexa.design/cdw and to read “ Understand how users invoke custom skills “ to add variety into the interaction model.

In addition to starting simple, it is important to let the user know what the chatbot or voice skill can do. While Alec suggested the initial interaction can intro what the chatbot can do, it should not do that every time. If the user comes back, allow the user to take the next steps. Anamita recommends including a “fallback” Intent to catch cases the chatbot does not handle. If the fallback is triggered, the chatbot could respond, “sorry I cannot do X, but I can do these six things.”

Personality can be important

IBM has an “empathy suite” including a tone analyzer and personality insights. When implemented in a customer care chatbot, if a user says they are having a horrible day, the chatbot can understand that and provide a different experience.

As users become more comfortable interacting with chatbots and voice, providing a personality can be quite useful. As Anamita explained, initially chatbots were built for efficiency or to automate a task, but now people are creating relationships with them. Children are growing up with bots that have been anthropomorphized, like the Pepper Robot.

Whether to enable empathy or a personality in a chatbot comes back to context. Anamita sees teaching and therapy use cases as more suited for empathy versus something more transactional. As Brian added, real estate agents range from “Type A” to “Type A,” so they keep personality and cuteness to a minimum. Right now the goal is to be as helpful and productive as possible, but there is room for personality in the future.

At Reprise, copywriters try to come up with a voice for the brand — a name and description of the persona and how they would talk. They use this in all the copy as it is important for the voice of the brand to be the same across the entire experience, whether that is on the Internet or voice device.

In regards to using voice actors on Alexa or Google Home, the panel in general thought they could be beneficial depending on the use case. For example, Antonio pointed out that if a user were interacting with a Jimmy Fallon skill, they would probably be more engaged if it was his voice rather than the default device’s voice.

Education is one of the underlying issues. Some users do not even know third party voice apps exist. As we noted in our earlier voice survey, one of the issues is users tend not to know what voice apps are even called.

Similarly, while Antonio finds users tend to not understand how to invoke the voice apps, improving the invocation can lead to increased acquisition. Associating the invocation name with the brand or something popular can help.

Making use of the “can fulfill” Intents on Alexa or Google Home can lead to increase acquisition too. If a user asks for something that matches a “can fulfill” Intent, the skill may be presented as a possible option to the user.

Discovery can depend on the use case. Anamita finds word-of-mouth tends to work when users are searching for chatbots for need or pleasure. If the use case is more transactional, the enterprise could suggest to the user to try the chatbot instead.

Even internal promotion within a company can be a challenge. At Realogy, there are a lot of competing internal marketing initiatives. What worked for Brian was to incentivize folks with device giveaways. He recommends channeling your internal game show host — “there’s a little Steve Harvey in all of us.”

Alec’s team at Google is working on solutions to improve user acquisition and discovery. They are not only looking to help with generating initial acquisition, but with retention as well to keep users coming back. One of the challenges is users sometimes do not remember how they found a particular voice app and then how to get back to it.

Realogy uses Dashbot to gain insights into how agents are interacting with Agent X. They wanted to know if agents would know how to interact with the skill and which features were used more than others. Dashbot helped answer those questions. They also found there is a voracious appetite for new capabilities.

Through Dashbot, Reprise has also been able to improve engagement. They learned for one of their client’s Google Actions, that most of the Intents were not being used. It turned out the issue was with all the overly complicated Intents. Based on the analytics, they launched a new version that was much more simplified.

In addition to analytics, Anamita recommends adding a feedback loop directly in the experience. Most of IBM’s internal chatbots include a thumbs up/down prompt asking the user if the chatbot answered the question right or provided the info they needed. At Dashbot, we are able to show these customer satisfaction (CSAT) scores, and the paths leading to them, to help enable improvements in the response effectiveness.

Anamita predicts digital humans becoming more of a reality — having interfaces with human facial reactions.

Brian is looking forward to a generational leap in the device capabilities — what he likens to going from one game console to the next.

Antonio sees users becoming more comfortable with having voice devices in their homes as well as areas for improvement for the space to take off even more. The three main areas are education (knowing how to use the device), discovery (how to find what is needed), and user experience (providing value to users). User experience is the most important to get people to adopt the devices.

Alec envisions a blending of voice apps and chatbots to provide the best experience depending on the context, rather than separate experiences. Voice can be the bridge to jump from the starting point to the finish.

At Dashbot, we are very excited about the future of conversational interfaces. We look forward to seeing what enterprise brands continue to develop.

In addition to traditional analytics like engagement and retention, we provide conversation specific metrics including NLP response effectiveness, sentiment analysis, conversational analytics, and the full chat session transcripts.

We also have tools to take action on the data, like our live person take over of chat sessions and push notifications for re-engagement.

We support Alexa, Google Home, Facebook Messenger, Slack, Twitter, Kik, SMS, web chat, and any other conversational interface.

Originally published at https://www.dashbot.io on July 30, 2019.

Source: https://chatbotsmagazine.com/brand-strategies-for-conversational-interfaces-76e64b6fce87?source=rss—-d6dc2c824f17—4

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Things to Know about Free Form Templates

A single file that includes numerous supporting files is commonly known as a form template. Some files will define or show the controls to appear on the free form templates or design. The collections of these supporting files or templates are also called form files. While designing free form templates, users should be able to […]

The post Things to Know about Free Form Templates appeared first on 1redDrop.

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A single file that includes numerous supporting files is commonly known as a form template. Some files will define or show the controls to appear on the free form templates or design. The collections of these supporting files or templates are also called form files. While designing free form templates, users should be able to view and also work with the form files. 

It will create a new free form template by copying and storing those files within a folder. A form template (.XSN) file designing or creation of a single file will include various supporting files. Users may fill out the online form by accessing the .XML form file, which is a form template.

Designing Free Form Templates

There are numerous processes that define free form template design, and are as follows:

  • Designing the form’s appearance – the instructional text, labels, and controls
  • Controls will assist with user interaction behavior on the form template. You can design a specific section to appear or disappear when the user chooses a particular option
  • Whether the form template may include some additional views. For a permit application form design, for example, you have to provide different views for each person. One view especially for the electrical contractor, next for the receiving agent, and finally, the investigator. He or she will deny or approve the permit application
  • Next, you need to know how & where to store the form data. Designing free from templates will allow users to submit their data within the database either online or direct access. If not, they can also store the same in any specific shared folder
  • It is essential to design the other elements, colors, and fonts within the form template
  • Users must be able to personalize the form. Allowing users to include various rows within the optional section, repeating section, or a repeating table
  • Users should receive a notification when they forget to input a mandatory field or make mistakes within the form
  • After completing the free form templates design, you can publish the same online using a .XSN file format

Club Signup Form

A simple registration form can help your Club Signup Form creation process go smoother. This signup form could be an ideal solution for a new club membership registration for any organization or club.

Application Form

Application form templates are much easier to use & set-up to streamline your application process. You can customize this online form and utilize the same for numerous applications. Make use of this application form as a job application form, volunteer applications, contest entries, or high school scholarship applications. It is an ideal solution for scholarship programs, nonprofit organizations, business owners, and many such users and use cases.

Scheduling Form

Scheduling form templates are handy and can be used for numerous appointment booking requirements. A scheduling form is also utilized for various appointment scheduling or online reservations and booking purposes. Regardless of your business requirement, it is easy to customize the form template.

Concept Testing Survey

While testing a new design or concept, it is essential to gather the responses quickly. Freeform templates for a concept testing survey make it much easier to gather product feedback and reach the target audience. It is essential to conduct market research while planning to release a new product. A mobile-friendly form will allow you to utilize the survey questions for collecting the product’s consumer input quickly.

Credit Card Order Form

It is not always a complex process to provide an online credit card payment form for the customers. This form template will allow you to access numerous services or products for collecting card payment information. You can utilize this yet-another endless and simple payment form.

Employment Application Form

The employment application form for recruitment will assist the HR team to gather the required information from candidates. During the interview or application process, you can easily remove any expensive follow-ups. Some of the fields are contact information, employment history, useful information, etc. as well as an outline of the job description, consent for background checks, military service record, anticipated start date, any special skills, and many more. It is optional to enable notifications for the form owners to receive an alert or email when a new employment application is submitted.

Source: https://1reddrop.com/2020/10/24/things-to-know-about-free-form-templates/?utm_source=rss&utm_medium=rss&utm_campaign=things-to-know-about-free-form-templates

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Are Chatbots Vulnerable? Best Practices to Ensure Chatbots Security

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Rebecca James
credit IT Security Guru

A simple answer is a Yes! Chatbots are vulnerable. Some specific threats and vulnerabilities risk chatbots security and prove them a wrong choice for usage. With the advancement in technology, hackers can now easily target the hidden infrastructure of a chatbot.

The chatbot’s framework has an opportunity for the attackers ready to inject the malicious codes or commands that might unlock the secured data of the customers and your business. However, the extent of the attack’s complexity and success might depend on the messaging platform’s security.

Are you thinking about how chatbots are being exposed to attacks? Well! Hackers are now highly advanced. They attack the chatbots in two ways, i.e., either by social engineering attack or by technical attacks.

  • An evil bot can impersonate a legal user by using backup data of the possibly targeted victims by social engineering attack. All such data is collected from various sources like the dark web and social media platforms. Sometimes they use both sources to gain access to some other user’s data by a bot providing such services.
  • The second attack is technical. Here also attackers can turn themself into evil bots who exchange messages with the other bots. The purpose is to look for some vulnerabilities in the target’s profile that can be later exploited. It can eventually lead to the compromise of the entire framework that protects the data and can ultimately lead to data theft.

To ensure chatbots security, the bot creators must ensure that all the security processes are in place and are responsible for restoring the architecture. The data flow via the chatbot system should also be encrypted both in transit and rest.

To further aid you in chatbot security, this article discusses five best practices to ensure chatbots security. So, let’s read on.

The following mentioned below are some of the best practices to ensure the security of chatbots.

It’s always feared that data in transit can be spoofed or tampered with the sophistication of cybercriminals’ technology and smartness. It’s essential to implement end-to-end encryption to ensure that your entire conversation remains secured. It means that by encryption, you can prevent any third person other than the sender and the receiver from peeping into your messages.

Encryption importance can’t be neglected in the cyber world, and undoubtedly the chatbot designers are adapting this method to make sure that their chatbot security is right on the point. For more robust encryption, consider using business VPNs that encrypt your internet traffic and messages. With a VPN, you can also prevent the threats and vulnerabilities associated with chatbots.

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2. How to Use Texthero to Prepare a Text-based Dataset for Your NLP Project

3. 5 Top Tips For Human-Centred Chatbot Design

4. Chatbot Conference Online

Moreover, it’s a crucial feature of other chat services like WhatsApp and other giant tech developers. They are anxious to guarantee security via encryption even when there’s strict surveillance by the government. Such encryption is to fulfill the legal principles of the GDPR that says that companies should adopt measures to encrypt the users’ data.

User identity authentication is a process that verifies if the user is having secure and valid credentials like the username and password. The login credentials are exchanged for having a secure authentication token used during the complete user session. If you haven’t, then you should try out this method for boosting user security.

Authentication timeouts are another way to ensure your chatbots security. This method is more common in banks as the token can be used for the predetermined time.

Moreover, two-factor authentication is yet another method to prove user identity. Users are asked to verify identity either by a text message or email, depending on the way they’ve chosen. It also helps in the authorization process as it permits access to the right person and ensures that information isn’t mishandled or breached.

The self-destructive message features open another way for enhancing chatbot security. This option comes in handy when the user provides their personally identifiable information. Such information can pose a serious threat to user privacy and should be destroyed or deleted within a set period. This method is handier when you’re associated with backing or any other financial chatbots.

By using secure protocols, you can also ensure chatbots security. Every security system, by default, has the HTTPS protocol installed in it. If you aren’t an IT specialist, you can also identify it when you view the search bar’s URL. As long as your data is being transferred via HTTPS protocol and encrypted connections, TLS and SSL, your data is secured from vulnerabilities and different types of cyber-attacks.

Thus, make sure to use secure protocols for enhanced security. Remember that when Chatbots are new, the coding and system used to protect it is the same as the existing HIMs. They interconnect with their security systems and have more than one encryption layer to protect their users’ security.

Do you know what the most significant security vulnerability that’s challenging to combat is? Wondering? Well! It’s none other than human error. User behavior must be resolved using commercial applications because they might continue to believe that the systems are flawed.

No doubt that an unprecedented number of users label the significance of digital security, but still, humans are the most vulnerable in the system. Chatbot security continues to be a real big problem until the problem of user errors comes to an end. And this needs education on various forms of digital technology, including chatbots.

Here the customers aren’t the ones who are to be blamed. Like customers, employees can make a mistake, and they do make most of the time. To prevent this, the chatbot developers should form a defined strategy, including the IT experts, and train them on the system’s safe use. Doing so enhances the team’s skillset and allows them to engage with the chatbot system confidently.

However, clients can’t be educated like the employees. But at least you can provide them a detailed road map of securely interacting with the system. It might involve other professionals who can successfully engage customers and educate them on the right way to interact with the chatbots.

Several emerging technologies are keen to play a vital role in protecting the chatbots against threats and vulnerabilities in the upcoming time, among all the most potent method behavior analytics and Artificial Intelligence developments.

  • User Behavioral Analytics: It’s a process that uses applications to study the patterns of user behavior. It enables them to implement complex algorithms and statistical analysis to detect any abnormal behavior that possibly represents a security threat. Analytical tools are quite common and powerful; thus, this methodology can become a fundamental component of the chatbot system.
  • Developments in AI: Artificial technology is a two-end sword that offers benefits and threats simultaneously. But, as AI is predicted to fulfill its potential, it will provide an extra security level to the systems. It is mainly because of its ability to wipe a large amount of data for abnormalities that recognizes security breaches and threats.

The Bottom Line

Security concerns have always been there with new technologies and bring new threats and vulnerabilities with them. Although chatbots are an emerging technology, the security practices that stand behind them are present for a long time and are effective. Chatbots are the innovative development of the current era, and emerging technologies like AI will transform the way businesses might interact with the customers and ensure their security.

Source: https://chatbotslife.com/are-chatbots-vulnerable-best-practices-to-ensure-chatbots-security-d301b9f6ce17?source=rss—-a49517e4c30b—4

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Best Technology Stacks For Mobile App Development

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What’s the Best Tech Stack for Mobile App Development? Read To Know

Which is the Best Tech Stack for Mobile Application Development? Kotlin, React Native, Ionic, Xamarin, Objective-C, Swift, JAVA… Which One?

Image Source: Google

Technology Stack for smartphones is like what blood is for the human body. Without a technology stack, it is hard even to imagine smartphones. Having a smartphone in uncountable hands is rising exponentially. For tech pundits, this is one unmissable aspect of our digital experience wherein tech stack is as critical as ROI.

The riveting experience for a successful mobile app predominantly depends on technology stacks.

The unbiased selection of mobile apps development language facilitates developers to build smooth, functional, efficient apps. They help businesses tone down the costs, focus on revenue-generation opportunities. Most importantly, it provides customers with jaw-dropping amazement, giving a reason to have it installed on the indispensable gadget in present times.

In today’s time, when there are over 5 million apps globally, and by all conscience, these are whopping no.s and going to push the smartphone industry further. But now you could see mobile app development every ‘nook and corner.’ But the fact is not who provides what but understanding the behavioural pattern of users.

So the pertinent question is, which is the ideal tech stack to use for mobile app development?

In native mobile app development, all toolkits, mobile apps development language, and the SDK are supported and provided by operating system vendors. Native app development thus allows developers to build apps compatible with specific OS environments; it is suitable for device-specific hardware and software. Hence it renders optimized performance using the latest technology. However, since Android & iOS imparts — — a unique platform for development, businesses have to develop multiple mobile apps for each platform.

1. Waz

2. Pokemon Go

3. Lyft

1.Java: The popularity of JAVA still makes it one of the official programming languages for android app development until the introduction of Kotlin. Java itself is at the core of the Android OS. Many of us even see the logo of Java when the device reboots. However, contradictions with Oracle (which owns the license to Java) made Google shift to open-source Java SDK for versions starting from Android 7.0 Nougat

2.Kotlin: According to Google I/O conference in 2019- Kotlin is the officially supported language for Android app development. It is entirely based on Java but has a few additions which make it simpler and easier to work.

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It’s my gut feeling like other developers to say that Kotlin is simply better. It has a leaner, more straightforward and concise code than open-cell Java, and several other advantages about handling null-pointer exceptions and more productive coding.

HERE’S A Programming Illustration Defining the CONCISENESS OF KOTLIN CODE

public class Address {

private String street;

private int streetNumber;

private String postCode;

private String city;

private Country country;

public Address(String street, int streetNumber, String postCode, String city, Country country) {

this.street = street;

this.streetNumber = streetNumber;

this.postCode = postCode;

this.city = city;

this.country = country;

}

@Override

public boolean equals(Object o) {

if (this == o) return true;

if (o == null || getClass() != o.getClass()) return false;

Address address = (Address) o;

if (streetNumber != address.streetNumber) return false;

if (!street.equals(address.street)) return false;

if (!postCode.equals(address.postCode)) return false;

if (!city.equals(address.city)) return false;

return country == address.country;

}

@Override

public int hashCode() {

int result = street.hashCode();

result = 31 * result + streetNumber;

result = 31 * result + postCode.hashCode();

result = 31 * result + city.hashCode();

result = 31 * result + (country != null ? country.hashCode() : 0);

return result;

}

@Override

public String toString() {

return “Address{“ +

“street=’” + street + ‘\’’ +

“, streetNumber=” + streetNumber +

“, postCode=’” + postCode + ‘\’’ +

“, city=’” + city + ‘\’’ +

“, country=” + country +

‘}’;

}

public String getStreet() {

return street;

}

public void setStreet(String street) {

this.street = street;

}

public int getStreetNumber() {

return streetNumber;

}

public void setStreetNumber(int streetNumber) {

this.streetNumber = streetNumber;

}

public String getPostCode() {

return postCode;

}

public void setPostCode(String postCode) {

this.postCode = postCode;

}

public String getCity() {

return city;

}

public void setCity(String city) {

this.city = city;

}

public Country getCountry() {

return country;

}

public void setCountry(Country country) {

this.country = country;

}

}

class Address(street:String, streetNumber:Int, postCode:String, city:String, country:Country) {

var street: String

var streetNumber:Int = 0

var postCode:String

var city: String

var country:Country

init{

this.street = street

this.streetNumber = streetNumber

this.postCode = postCode

this.city = city

this.country = country

}

public override fun equals(o:Any):Boolean {

if (this === o) return true

if (o == null || javaClass != o.javaClass) return false

Val address = o as Address

if (streetNumber != address.streetNumber) return false

if (street != address.street) return false

if (postCode != address.postCode) return false

if (city != address.city) return false

return country === address.country

}

public override fun hashCode():Int {

val result = street.hashCode()

result = 31 * result + streetNumber

result = 31 * result + postCode.hashCode()

result = 31 * result + city.hashCode()

result = 31 * result + (if (country != null) country.hashCode() else 0)

return result

}

public override fun toString():String {

return (“Address{“ +

“street=’” + street + ‘\’’.toString() +

“, streetNumber=” + streetNumber +

“, postCode=’” + postCode + ‘\’’.toString() +

“, city=’” + city + ‘\’’.toString() +

“, country=” + country +

‘}’.toString())

}

}

I’d say KOTLIN IS THE BEST FIND FOR ANDROID APP DEVELOPMENT.Google has dug deeper with some plans ahead since announcing it as an official language. Moreover, it signals Google’s first steps in moving away from the Java ecosystem, which is imminent, considering its recent adventures with Flutter and the upcoming Fuchsia OS.

Objective C is the same for iOS what Java is for Android. Objective-C, a superset of the C programming language( with objective -oriented capabilities and dynamic run time) initially used to build the core of iOS operating system across the Apple devices. However, Apple soon started using swift, which diminishes the importance of Objective -C in comparison to previous compilations.

Apple introduced Swift as an alternative to Objective-C in late 2015, and it has since been continued to be the primary language for iOS app development.Swift is more functional than Objective-C, less prone to errors, dynamic libraries help reduce the size and app without ever compromising performance.

Now, you would remember the comparison we’ve done with Java and kotlin. In iOS, objective-C is much older than swift with much more complicated syntax. Giving cringeworthy feel to beginners to get started with Objective-C.

Image Source: Google

THIS IS WHAT YOU DO WHEN INITIALIZING AN ARRAY IN OBJECTIVE-C:

NSMutableArray * array =[[NSMutableArray alloc] init];

NOW LOOK AT HOW THE SAME THING IS DONE IN SWIFT:

var array =[Int]()

SWIFT IS MUCH MORE ` WHAT WE’VE COVERED HERE.

In cross-platform app development, developers build a single mobile app that can be used on multiple OS platforms. It is made possible by creating an app with a shared common codebase, adapted to various platforms.

Image Source: Google

Popular Cross-platform apps:

  1. Instagram
  2. Skype
  3. LinkedIN

React Native is a mobile app development framework based on JavaScript. It is used and supported by one of the biggest social media platforms- Facebook. In cross-platform apps built using React Native, the application logic is coded in JavaScript, whereas its UI is entirely native. This blog about building a React Native app is worth reading if you want to know why its stakes are higher.

Xamarin is a Microsoft-supported cross-platform mobile app development tool that uses the C# programming language. Using Xamarin, developers can build mobile apps for multiple platforms, sharing over 90% of the same code.

TypeScript is a superset of JavaScript, and is a statically-typed programming language supported by Microsoft. TypeScript can be used along with the React Native framework to make full use of its error detection features when writing code for react components.

In Hybrid mobile app development, developers build web apps using HTML, CSS & JavaScript and then wrap the code in a native shell. It allows the app to be deployed as a regular app, with functionality at a level between a fully native app and a website rendered(web browser).

Image Source: Google
  1. Untappd
  2. Amazon App Store
  3. Evernote

Apache Cordova is an open-source hybrid mobile app development framework that uses JavaScript for logic operations and while HTML5 & CSS3 for rendering. PhoneGap is a commercialized, free, and open-source distribution of Apache Cordova owned by Adobe. The PhoneGap platform was developed to deliver non-proprietary, free, and open-source app development solutions powered by the web.

Ionic is a hybrid app development framework based on AngularJS. Similar to other hybrid platforms, it uses HTML, CSS & JavaScript to build mobile apps. Ionic is primarily focused on the front-end UI experience and integrates well with frameworks such as Angular, Vue, and ReactJS.

To summarize, there are 3 types of mobile apps- Native mobile apps, Cross-platform mobile apps, and Hybrid mobile apps; each offers unique technologies, frameworks, and tools of their own. I have enlisted here the best mobile app technology stacks you could use for mobile app development.

The technologies, tools, and frameworks mentioned here are used in some of the most successful apps. With support from an expert, a well-established mobile app development company, that may give much-needed impetus in the dynamic mobile app development world.

Source: https://chatbotslife.com/best-technology-stacks-for-mobile-app-development-6fed70b62778?source=rss—-a49517e4c30b—4

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Arcanum makes Hungarian heritage accessible with Amazon Rekognition

AI3 days ago

Arcanum makes Hungarian heritage accessible with Amazon Rekognition

AI3 days ago

Arcanum makes Hungarian heritage accessible with Amazon Rekognition

AI3 days ago

Arcanum makes Hungarian heritage accessible with Amazon Rekognition

AI3 days ago

Arcanum makes Hungarian heritage accessible with Amazon Rekognition

AI3 days ago

Arcanum makes Hungarian heritage accessible with Amazon Rekognition

AI3 days ago

Arcanum makes Hungarian heritage accessible with Amazon Rekognition

AI3 days ago

Arcanum makes Hungarian heritage accessible with Amazon Rekognition

AI3 days ago

Arcanum makes Hungarian heritage accessible with Amazon Rekognition

AI3 days ago

Arcanum makes Hungarian heritage accessible with Amazon Rekognition

AI3 days ago

Arcanum makes Hungarian heritage accessible with Amazon Rekognition

AI3 days ago

Arcanum makes Hungarian heritage accessible with Amazon Rekognition

AI3 days ago

Arcanum makes Hungarian heritage accessible with Amazon Rekognition

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