AI Tech Archives - Page 3 of 5

Using AI for Sustainability: Technology for a Better Future

Posted on March 22, 2023August 30, 2023 by mkoftielieva

Everyone today should understand that our planet isn’t doing too well health-wise. Reports of natural disasters or some other nasty side-effects of environmental changes come almost daily. With the rise of artificial intelligence, we are wondering how using AI for sustainability could help improve this situation. It turns out that AI tech can become a true life-saver for our planet, but only if it’s used wisely.

Artificial intelligence software development technology is developing rapidly. Some of its trends are already focused on using AI for sustainability, but that’s hardly enough. To truly benefit from this tech, people have to invest in the solutions that can make the most difference. However, governments also need to contribute. It’s not only a matter of money but also regulation. It’s because abusing AI tech could lead to tragedies, especially in countries that aren’t liberal democracies.

Keep reading to learn what AI can do to help heal our planet and why we must keep it under control.

Using AI for Sustainability and the UN SDG Program

A giant blob of seaweed moving to the shores of Florida right now is only one of the many natural disasters in action. All of them are red flags waving at the planet’s populace, stating that we need to do something to improve the health of the planet. One of the main initiatives currently working on those objectives is the SDG Program.

SDG stands for Sustainable Development Goals defined by the UN. Those are the goals humanity is working towards to ensure the long-term survival and well-being of our world as a whole. They go far beyond managing climate change, including dramatically important matters like conquering world hunger, inequality, and increasing education quality.

Using AI for sustainability can help achieve over a hundred of those top goals faster and more efficiently. Applying this technology is currently most beneficial in matters concerning climate change and the overall health of our environment.

In turn, this can benefit businesses and economies because we live in a highly interconnected world. For example, according to PwC research commissioned by Microsoft, using AI for various environmental purposes can contribute about $5.2 trillion to the global economy by 2030. That’s not even counting the long-term benefits the entire planet’s population will experience from having a healthier environment.

Using AI for sustainability worldwide could help reduce greenhouse gas emissions by 4% in 2030, which equals the annual emissions of Australia, Japan, and Canada combined!

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Companies Using AI for Sustainability

Many top companies already use AI for energy management and other practices to reduce their carbon footprint. Top examples of this include:

IBM
IBM is applying AI in many of its processes to boost overall business productivity. Regarding increasing sustainability, one of the most valuable contributions comes from using AI for weather forecasting. Artificial intelligence allows for raising the accuracy of predictions by about 30%. As a result, IBM can help renewable energy companies increase their efficiency, especially in resource management and energy production.
Google
It’s no secret that Google takes sustainability projects very seriously. Running power-hungry data centers, the company must do its best to boost energy efficiency. AI helps Google reduce cooling costs by 40%, and that’s only one of its applications.
Carbon Tracker
Carbon Tracker is a think-tank focused on finding ways to improve the climate situation on the planet. One of its projects is using AI for tracking emissions. They can track CO2 based on satellite imagery and use this data to identify coal plants with the lowest footprint. Then, they use the data to help attract investment to these specific plants.
Xcel Energy
It might be surprising to hear that a company that burns coal and has a high emissions level uses AI for sustainability. However, even businesses that are considered non-eco-friendly work on minimizing their impact. Xcel Energy is using AI to increase its efficiency by about 20%.

However, you don’t have to be a huge enterprise that racks up millions in revenue to start using AI for sustainability. You can use this technology to improve your business practices and processes in many ways. Consider the following ways to implement AI:

Precision agriculture
Energy management within office buildings
Analytics for better resource planning
Minimizing energy and water waste
Environmental monitoring
Sustainable supply chains

Why Using AI Might Hamper Sustainability and Cause Global Problems

Using AI for sustainability can help accomplish great things. Some of the most prominent among them are:

Clean power
Sustainable production and consumption
Clean transport
Smart homes and cities
Early warning about possible disasters
Resilient infrastructure
Pollution prevention
Clean oceans
Disease control
Clean water supply
Resource management
Sustainable resource use

These and many other things can be possible if people work together and wisely manage their resources. AI can be a great help by taking out biases and calculating the best strategies for increasing sustainability and equality.

That said, this power can be used for evil as easily as it can be used for good. Therefore, it’s imperative to develop specialized regulatory bodies and strategies to monitor the applications of AI.

One of the most concerning matters is the use of this technology by authoritarian and totalitarian political regimes. Some non-democratic governments are already using AI for tracking purposes. There is a huge risk that they will abuse this technology further in order to maintain power and control of their territories and promote their corruption schemes.

A lack of transparency and competent regulation when it comes to using AI for sustainability or any other purpose can result in tragedies. It will definitely lead to multiple safety risks, including some with possible global consequences. It will also make it impossible to maintain clear ethical standards.

Therefore, any large-scale use of AI should be preceded by the development of proper regulation. Currently, technology is growing and spreading much faster than appropriate political and regulatory protocols. This should be concerning for all of us.

Bottom Line: The Future of AI and Its Impact on the World

Even the most basic AI chatbot can do incredible things today. Therefore, the future of AI technology is certainly bright. It will continue developing and growing fast because it’s the top investment opportunity right now.

However, that growth can lead to unimaginable consequences without proper regulation. So, the question isn’t how we can use AI for sustainability but how to ensure that sustainability is all it’s used for.

Is Bubble the Best No-Code Development Platform?

Posted on March 15, 2023August 30, 2023 by mkoftielieva

No-code development can’t replace professional developers yet. However, it’s certainly getting better at creating software. Some of the best no-code development platforms can already create efficient and reasonably complex apps. Bubble.io stands out among these services due to its reliability and versatility. We know this because one of the Devtorium teams is using Bubble to develop an ERP solution for our company.

According to forecasts, the global no-code/low-code development platform market will reach $187 billion by 2030. If things continue as they are now, Bubble will be among the top platforms there. So, if you are wondering whether to choose it for your own MVP development, keep reading. Our team compiled a list of the platform’s pros and cons based on their experiences.

Benefits of Using No-Code Development Platforms for Small & Medium Business

No-code and low-code development platforms have been around for a while. Initially, they were very limited and mostly served as aids for developers. In essence, even today, no-code development is often used to cut down the software engineer’s work hours and involvement in a project. However, this tech can’t replace the professional entirely. That’s because an expert must manage it.

That said, no-code development offers small and medium businesses a great opportunity. These platforms enable SMBs to create affordable customized software to boost their business’ productivity and speed up inner processes.

Moreover, using a no-code development platform is a fantastic way to build your MVP. If you have an idea, this type of solution will allow you to make it presentable to attract investors.

However, in order to make the most out of your no-code development project, you must understand the capabilities and limitations of the platform you choose. In this article, we’ll analyze Bubble, one of the leaders among the best no-code development platforms today.

Bubble No-Code Development Platform: Pros & Cons

Advantages of Using Bubble

Every Devtorium developer who used or even researched Bubble says its main advantage is that the platform allows you to write your own logic. Quite often, it’s a massive issue with no-code platforms because they only let you develop solutions based on built-in plans.

However, Bubble allows developers the maximum level of flexibility. So, you can use this platform to create almost any type of solution. For example, this includes marketplaces, SaaS, dashboards, or even your very own social network.

Our devs believe Bubble is an excellent platform to test your ideas. You can use it for developing an app fast and evaluating how all the features you want to include fit together. You can also use it to have a focus group test the app. This way, you’ll be able to assess and improve your app development plans. In addition, you can see the audience’s response to it.

Aside from the flexibility, Bubble offers a wide range of functionalities you can integrate into your app. This no-code development platform is extremely versatile and has a vast plugin marketplace. Therefore, there is hardly a feature you can’t find. Therefore you should be able to create precisely the type of software you want.

Moreover, there is a thriving Bubble community, and the platform’s support service works exceptionally well. So you’ll be able to find advice or discuss any questions you have.

Bubble No-Code Platform Limitations

Even the best no-code development platforms aren’t perfect. So you need to consider their limitations before settling on a no-code platform for your project. In fact, your long-term plans are the foremost thing to consider when using Bubble. For example, if the platform doesn’t have the capability for features you want to add in the future, reconsider using it at all.

Of course, no-code development platforms evolve and release new features and functionalities regularly. However, betting the future of your own project on this chance is probably a mistake.

That said, you must remember that the features you might like at the idea stage aren’t what your target audience needs and wants. So from this point of view, creating a high-quality MVP with Bubble might pay off because you’ll be able to collect relevant feedback. But bear in mind that you might need to move to a different platform or even build your native app from scratch again using different technology.

In addition, we discovered that Bubble is flexible for functional design but not for UI/UX design. It’s a fundamental fact to keep in mind when you try to bring your idea to life using Bubble. You’ll be disappointed if you believe you can create a functional app and upgrade the design later, you’ll be disappointed.

Bubble no-code development platform is somewhat limiting in UI/UX design adjustments. It means you have room to create an attractive UI design as you start developing, but you can’t change it much after creating the app. So the solution is to have your design on hand when you start working with this no-code development platform.

Bottom Line: How to Choose the Best No-Code Development Platform

If you think about no-code development, Bubble is definitely one of the best options today. Our developers tested it extensively and were very impressed. However, you need to remember that all these platforms have limitations. The most important among them is processing power.

Simply put, no-code is suitable for small and medium projects. However, enterprise-level businesses won’t be satisfied with the results.

You need to consider your specific needs and plans to choose the best among no-code platforms. Research what each option can deliver and pick the one that meets your needs best. Don’t forget to consider the price because these solutions won’t be free if you want to have a decent amount of processing power.

AI Content Writer Marquètte: Marketing Templates

Posted on March 10, 2023August 30, 2023 by mkoftielieva

ChatGPT changed how people see an AI content writer and AI in general. At Devtorium, we consider this a fantastic development because it helps popularize AI-powered solutions. Our own AI content generator Marquètte keeps progressing as well. This tool can become an invaluable helper for marketers and content writers.

In this post, we will show you how to use Marquètte to generate a wide range of texts in a few clicks. To see ideas on how to implement AI content writing software in your marketing strategies, check out this article.

What AI Content Writer Marquètte Can Do for You

As an AI content writer, Marquètte generates texts on different topics. However, the issue with the majority of AI chatbots and content writers openly available today is that they create generalized texts. Therefore, you’ll need to spend a lot of time editing them for marketing use.

Devtorium solves this problem with our Templates functionality. Designed with the help of our data science team, these templates generate highly specific texts targeted to different purposes. A set of marketing content templates allows you to create ads, emails, and product descriptions that will show your product in the best light.

Writing a few dozen marketing texts about the same product or service will finally be easy!

Every piece of content generated by an AI writer is unique, and each will focus on making your offer sound as appealing as possible.

Keep reading to see examples of how AI content writing software can market your products or services to any audience.

Marquètte AI Content Writer: Marketing Templates

Product Description

Struggle with creating an attractive product description that highlights the top attributes of your product or service in the best way? Marquètte can create as many of those as you need, so you’ll be set up with a unique description for every platform and ad campaign you plan to run.

Take a look at an example generated by an AI content writer. The product in the task was ‘herbal tea blend’. You can also add attributes you want AI to focus on. In this case, we listed some adjectives: soothing, relaxing, calming.

Welcome to the world of relaxation and harmony that comes with our soothing herbal tea blend! This blend is specifically designed to bring free-flowing energy, inner-calm, and increased relaxation. It contains lavender, which helps soothe the mind and instill a sense of restfulness. Our calming herbal tea blend provides many calming benefits for those who seek a better quality of sleep. The effects of this blend become even stronger with consistent use. So why wait? Make today the day you start to make peace with yourself and your environment as this soothing blend does its work!

Marketing Email

No matter how the market changes, email marketing remains the tool with the highest ROI. You can bump those numbers further by having Marquètte generate emails for you. Check out how the AI content writer does it below.

This time, we decided to check how AI can deal with fun and entertaining ads, so we requested a marketing email for a rubber duck that’s safe for babies to play with.

Safety & Fun for Little Ones: Yellow Rubber Duck!

Introducing our fantastic rubber duck—made from soft and durable resin, this fun duckling is the perfect companion for bathing time!

Sporting a stylish yellow hue, our product adds a cheery environment to your tub. Our duck can also provide peace of mind, as it is perfectly safe for infants. No need to worry about any toxins—this product is certified non-toxic and 100% family-friendly.

No more fretting over whether your child is exposed to unsafe materials!

Make bath-time fun and entertaining with our amazing rubber duck. Trust us, your little one and you will be thrilled to get a chance to make a splash with this delightful bath toy.

We hope you love it as much as we do!

Regards,

The Rubber Duck Team

SWOT Outline

This template is more of an aid for a content writer tasked with creating content about specific companies. AI will generate a list of strengths, weaknesses and opportunities for a specific business. However, bear in mind that AI may not have the latest data, so this information might not be current.

Here’s an example of such an analysis for Nestle.

Strengths:

Global presence

Strong brand recognition

Innovation

Diverse product portfolio

Strong financial performance

Weaknesses:

High reliance on mature markets

High cost structure

Lack of focus on emerging markets

Opportunities:

Growth in emerging markets

Expansion of product portfolio

Partnerships and acquisitions

Focus on health and wellness

Threats:

Competition from other food and beverage companies

Increasing cost of raw materials

Regulatory changes

Changing consumer preferences

Short Social Media Post

Every marketer running a few dozen Facebook ads campaigns knows how hard it might be to write a few variations of product ads that are under 100 words long.

Well, Marquètte can do it in a few moments. This template will generate short sentences that can be used for social media ads with your gorgeous visual media. For example, here’s a text generated for a fantasy novels sale:

Enchanting Stories Await

Get lost in a world of adventure with our fantastic selection of fantasy novels! Shop our spring book sale now!

Informative SMM Post

We understand that the majority of marketers and content writers have to create multiple informative SMM posts to keep the channel audience engaged. A template for this type of content is currently in the works. We are planning to release it in the next few weeks.

For now, here’s a sneak peek of how an AI content writer will generate posts like this. The request for this task was ‘tips for choosing the best e-wallet service’.

When choosing an e-wallet service, it is important to consider a few key factors. First, make sure to research the security measures of the service you are considering. Look for features such as two-factor authentication, encryption, and fraud protection. Additionally, consider the fees associated with the service. Many services have different fees for different types of transactions, so make sure to read the fine print and understand all the costs associated with the service.

Another important factor to consider is the range of services offered by the e-wallet provider. Many services offer different features such as the ability to send and receive money, store loyalty cards, and access discounts. Additionally, look for services that are compatible with your current banking and payment methods, such as Apple Pay or PayPal. Finally, make sure to read customer reviews to get an idea of how reliable and user-friendly the service is. Taking the time to research and compare different e-wallet services can help you find the best one for your needs.

Bottom Line: Who Can Benefit from Using an AI Content Writer?

AI content generation is a trending topic today. Any business can find a way to include it in processes, especially involving marketing. With the help of Marquètte templates, you can start generating ads and other marketing content right now. Give it a try during a free trial and see what you can achieve!

If you want to take a look at long-form content created by AI, see the blog post completely generated by Marquètte.

Types of User Interfaces: Tips for Hiring a UI Design Company

Posted on March 3, 2023August 30, 2023 by mkoftielieva

If you plan to create any kind of app or software product in general, you will need to work with a UI design company. Of course, it may not be called this exact way because designers usually work with UI and UX simultaneously. Moreover, a custom software development company will most likely have a design team. Therefore, you’ll just dive into the most interesting question immediately. And that question is, what kind of user interface do you want to have?

Technology is evolving, and we’ve now moved on from the point where graphical interfaces were your only option. Keep reading to learn what alternatives you have now. Also, remember that consumers are hunting for the best UI/UX experience today. Therefore, investing in a creative and well-optimized interface is sure to help you get ahead even in a highly competitive market.

Before You Hire a UI Design Company: What Is UI?

Before we start listing trending UI types, let’s see if you understand what UI is and the difference between UI and UX design services. In essence, UI includes everything the user interacts with to navigate information within the device. For example, for a computer program, this will include:

Desktop appearances
Computer mouse
Keyboard
Clickable buttons
Text entry fields
Texts
Sliders
Screen layouts
Transitions between screens
Interface animations

So, if you thought that a UI/UX designer only thinks about making your app look pretty, you’ve severely underestimated the work they have to put in when creating a friendly user interface. Moreover, you also need to consider that UI development goes beyond design. A lot of technical work is involved in making your app genuinely user-friendly and attractive.

Meanwhile, UX design is an integral part of this process because it ensures that the user interface is easy and intuitive to interact with.

For a very long time, software products only relied on graphical user interfaces due to technological limitations. However, now you have the freedom to use top-notch tech to make your solutions more interactive. In addition, IoT and smart assistants, like Alexa or Siri, have become the norm today. According to TechJury, about 64 billion IoT devices will be in use worldwide by 2025. So, developing a more advanced UI type is guaranteed to be a good investment.

Types of User Interfaces: Things to Discuss With Your UI Design Company

Graphical User Interface (GUI)

Graphical user interfaces are the most popular and some of the simplest available today. You interact with them daily by clicking on any icon, whether with a mouse or your finger on a touchscreen. These interfaces are best used for multitasking (when the user runs several apps at a time) or for complex programs.

GUIs are the standard go-to that every UI design company will focus on first. In the majority of cases, any other tech additions will be built upon after completing the graphical component of your solution.

The main advantages of a GUI include the following:

Attractive design
Very user-friendly
Easy to use and navigate
Absence of challenging commands
Understandable for people without a background in tech

However, GUIs are not perfect. First of all, they can be slow and require a lot of RAM to run (for advanced versions). In some cases, the user might require extensive additional hardware to run some graphical interfaces. For example, think of last-gen video games.

Voice-Controlled Interfaces are taking over the world! Missing out on this now might make it impossible to remain competitive

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Voice-Controlled Interface (VUI)

How often do you talk to Alexa? Or Siri? Or how reliant are you on your Google Assistant? If you use any of those, you’ve probably noticed that they become an integral part of your daily life so easily that you don’t even see it. However, removing them now will make everything so much harder, right?

Voice-controlled user interfaces are not a big part of a regular UI design company’s services. Therefore, you’ll need to search for specialized developers to launch a product like that. Moreover, creating such software from scratch will require a significant investment. However, you can definitely consider integrating functionality that will connect your software product to one or all of the existing voice interfaces.

Voice-controlled interfaces are becoming more popular, and this trend will undoubtedly grow. They enable users to interact with their devices more efficiently, which is necessary in the hectic modern world. In addition, the teaching capabilities of VUI solutions are unparalleled.

Benefits of VUIs include:

Anyone can use them easily, no matter their level of tech proficiency
Easy integration with multiple devices
Translations make them available globally
Enables easy human-like interaction with your tech

However, before you plan to create a VUI for your product, remember that the number of commands that can be integrated with it now is small. This technology is still developing, so tech issues and limitations might exist. Also, while translations are excellent, there are only a few of those now.

Natural Language Interface

Natural Language Processing (NLP) and Natural Language Understanding (NLU) technologies have been evolving for a while. They are an inseparable part of the AI development process. Devtorium is a company experienced in working with this technology as we’ve designed and launched an AI-powered platform Marquètte. Natural Language Interfaces (NLI) are designed for this tech as they enable the user to communicate with computers using human language.

After ChatGPT had gone viral, interest in NLI increased greatly. Many businesses are now looking for ways to integrate this tech into their product. So, if you plan on creating any type of software, you definitely should consider expanding beyond a regular UI design company’s services. In essence, a chatbot of some kind is a must-have for business right now.

The main benefits of an NLI include:

Incredibly varied and numerous application possibilities
Great level of personalization for user-tech communication
Ability to create a realistic interaction, especially with voice generators
Can enhance existing software products
Context-sensitive responses that are getting more precise

The only significant drawback of VUIs is that they are now challenging to program. However, this technology is evolving rapidly, so we are sure to see fast growth in AI. The hardware needed to run this tech is also expensive. So, resources will also be an issue, unless you rely entirely on third-party products.

#ChatGPT has gone viral. Can you afford to NOT have a chatbot for your business today?

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Final Things to Consider Before Hiring a UI Design Company

In this article, we focused only on UI types that someone interested in developing an innovative software product can use to boost their business plan. However, many other types are used daily, for example, the command line interface that developers often use or menu-based interfaces you interact with when using ATM machines and the like.

There are also advanced technologies that never managed to become popular for some reason, like gesture-based interfaces. Those holographic screens looked so cool in sci-fi movies and when Tony Stark was using them, but current tech doesn’t allow making them a viable option.

That said, we live in times when tech is evolving lightning fast. So, investing in cutting-edge interfaces is a smart move. You might not even notice how they turn from cutting-edge to an everyday staple feature. Therefore, it’s best to be ahead!

In order to do this, you should focus on hiring not merely a UI design company but experienced developers that can help you create a versatile solution. In this case, you’ll be able to develop a product with several interfaces to ensure a wider reach. Expand your target audience to stand out from your competitors.

Do you want to learn how to do this within your current budget? Set up a meeting with our team!

How to Choose a Tech Stack for AI-Driven SaaS Development

Posted on February 23, 2023March 2, 2023 by mkoftielieva

AI-driven SaaS development is one of the best investments ever because this tech trend is scorching hot. According to SpendDesk research, an average public SaaS company is now worth around $27 billion. Moreover, it’s estimated that 85% of all business applications will be SaaS-based by 2025. Undoubtedly, in a couple more years, software as a service will replace all other types.

If you need more motivation to invest in SaaS platform development, consider the following numbers:

Gartner estimates that cloud spending will amount to 45% of all enterprise IT spending by 2026.
The SaaS industry value is over $172 billion and constantly growing, says Exploding Topics.
Private European investment in SaaS is growing by 3.2, year over year, claims Paddle. However, the US remains the leader among SaaS companies and investors.

This list could go on, but there is only one conclusion, SaaS development services are gold right now. So, it pays to get onto that train as soon as possible.

If you decide to use this incredible opportunity and create a SaaS product, you need to look for a company with a tech stack for it. In case this is your first time, here are a few tips on choosing a tech stack for AI-driven SaaS development. We’ll also suggest the best technologies for these projects.

What to Consider When Choosing a Tech Stack for AI-Driven SaaS Development?

First of all, you must understand what drives the choice of a tech stack for any software development project. Five crucial factors will dictate your decision regarding technologies.

Scalability.
Modern technology changes extremely fast, and your project will grow fast as well if it’s successful. Therefore, you must choose systems that allow continuous evolution and growth and integrate new features with minimal disruption.
Time-to-market.
How fast can you release the product on the market? The answer is always as quickly as possible’. Even if it’s not the final version, the product should start making money and pay for itself early. In addition, launching an MVP will provide you with invaluable user feedback. Use it to make improvements in later product versions. However, remember that it will grow and change constantly.
Learning curve.
It might happen that you need to change developers after launching your product. Therefore, you should consider the learning curve of the technology used for it. Think about how much time the new team will need to understand the project and start doing their job. Moreover, the tech stack will determine how hard it is for you even to find a new team. So, it’s always best to use widespread technologies.
Code maintainability.
Think long-term and consider how your code can be maintained over time. For this, you need to consider whether the programming language you choose has an active community with strong support. In addition, make sure that code isn’t overly complicated. Again, this will become necessary if you need to change your AI-driven SaaS development company.
Support.
Future product support is another thing to take into account when planning long-term. Overall, it’s best to choose technologies that have existed for a while and remain strong.

AI-Driven SaaS Development Tech Stack: Best Back-End Choices

The basis of your entire AI SaaS product starts with back-end development. It’s the foundation of your application, so you must ensure it’s as strong as possible. Therefore, no matter how innovative your AI-driven SaaS development idea is, it’s best to build the foundation on time-tested reliable technologies.

The best SaaS development choices for back-end tech include:

.NET (C#)
Node.js
PHP
Python

Each choice will enable you to create a reliable and adaptable application. Moreover, these technologies are quite popular. Therefore, you shouldn’t have any issues changing developers or adding new people to your team as the product grows.

Speaking of growth, all these technologies allow for efficient scalability. So you’ll be able to improve and add new features fast.

There is no single best choice among these programming languages. This particular decision should be based on your product’s functionality and budget. Discuss this matter with experienced developers as they can advise on which choice will benefit the project most.

Best Front-End Technologies for SaaS Platform Development

JavaScript reigns supreme when it comes to AI-driven SaaS development. It’s hard to believe, but less than five years ago, about 95% of all websites used JavaScript. Therefore, there is no better choice for your SaaS development in the front-end department. In fact, one of the top back-end options we mentioned above is Node.js, a JavaScript runtime environment for back-end development.

In regards to the front-end department, the best choices are all JavaSript frameworks:

React
Angular
Vue.js

You’ll need to get expert opinions and think long-term when choosing between them. It’s essential to have some idea of the changes you wish to implement to expand the product in the future. These technologies vary in flexibility, and adding specific features down the line might be more challenging for some of them. So, plan your moves ahead and think big. Even if you never implement the changes you plan at the beginning, you’ll be sure there is room for them.

Remember that rewriting your product in a new language later can be prohibitively expensive. Moreover, it might take you off the market for a while.

Start Your AI-Driven SaaS Development Project Right Now!

As you can see, the whole process of choosing a tech stack for AI-driven SaaS development seems a straightforward process. The best choices are indeed few, and they are well-known. It means you can easily research every programming language and framework to learn its strengths and weaknesses.

However, making the actual choice isn’t that easy. This decision can have a massive impact on your project’s success. Therefore, you must consider it very carefully.

It would be best to consult an experienced SaaS development company first. Find people you can trust and explain your ideas to them. If your research led you to something, share this with the developers. For example, you can say why you think .NET is the best choice compared to Node.js. Then, let experienced developers share their ‘insider knowledge’ of the framework. These negotiations should result in you making the best possible choice for your future project.

Want to see how this works? Schedule a free consultation with our team right now!

Devtorium has years of experience in SaaS products for various industries. Moreover, we’ve recently launched our own AI-powered SaaS platform, Marquètte, used for content generation. As a result, we can analyze your idea and devise several plans to bring it to life, considering your budget and long-term goals.

AI Chatbot Development: What a Chatbot Can Do

Posted on February 16, 2023March 2, 2023 by mkoftielieva

As you must know, GPT Chat has recently gone way beyond viral and unlocked new levels of popularity, so AI chatbot development has become the hottest trend. So, if you want to get on this trend before it’s too late, you need to hurry, as new AI-powered services are popping up overnight. In fact, even Devtorium launched an AI content generator, Marquètte.

All this means two things:

You need to invest in chatbot development as soon as possible to launch your product before the competition gets too intense.
Devtorium developers have a lot of experience in AI-powered software development, which we can put to good use to realize your ideas.

So, you know why invest in chatbot development services and who can do it for you. Therefore, the main question is, what kind of custom chatbot service do you want to launch?

AI chatbot development goes well beyond simple chatbots we are used to relying on as shopping assistants. This technology advances fast, and this kind of tool can complete many versatile and complex tasks now. In this article, we’ll share some ideas on what a chatbot can do today. Use it for inspiration or research when working on your AI-powered business plan.

AI Chatbot Development Ideas for Business: What Chatbots Can Do

Chatbot Development for Customer Support

The most common use of chatbots today is, of course, creating visual assistants to make customer support more affordable. According to Gartner research, chatbots will become the primary customer service provider over the next five years. Moreover, about 74% of internet users prefer interacting with a chatbot when looking for answers to simple questions. Other studies also show that AI-powered assistants can reach the level of experienced sales professionals. Therefore, they can help your business quite effectively.

Additionally, chatbots can perform a wide range of tasks in their customer service role.

Answering questions.
The best use of a chatbot is to give customers 24/7 support that can answer the most common questions. There might be some advanced issues that a machine can’t handle, but those can be rerouted to your human experts.
Processing customer inquiries.
AI chatbot development can create an assistant that will integrate into the process of your interaction with the customers. AI can collect data and process it transferring inquiries to different business departments or even answering some of them automatically.
Finding, inventory checking, and recommending products.
A great help for eCommerce businesses are chatbots that can lead the customer when they want to find a product fast. The AI can then check the inventory in real-time and recommend a replacement or additional products.
Processing return and exchange requests.
AI chatbot development allows you to automate the return/exchange process completely, thus reducing the risk of human error. You’ll get a boost in customer experience and satisfaction out of it.
Tracking order shipments.
Allow your customers to track their orders with an AI assistant.
Collecting and processing feedback.
Chatbot development can produce a solution that will collect feedback more effectively through personalized requests. Moreover, it can immediately process the data.

AI Chatbot Development for Marketing

There are many ways to use AI-powered platforms for marketing. The main purpose of these tools is to cut costs and increase the efficiency of information processing and analysis. In addition, you can teach your AI assistant to cross-sell, upsell, and downsell, to increase business revenue. Some ideas for marketing chatbot development include:

Lead generation.
There can’t be too many ways to generate leads. So if you have a chance to use a chatbot for it, do this!
Second-net lead generation.
What did we just say about ‘never too many lead generation routes’? If you aren’t using a chatbot as a primary lead gen contact, set it up as the second-net step so it can engage customers who ignored the initial lead generation form.
Pricing explanation.
Pricing pages can be complicated for many users, especially if the service has a multiple-tier subscription system. Adding a chatbot at this stage will combine marketing, support, and sales efforts into a solution that will guide the customer to the subscription that suits them best.
Unobtrusive and engaging product promotion.
AI chatbot development allows you to create an assistant that will be a witty and fun conversation partner for your customers. As an added feature, it can also promote your products as an organic part of the conversation instead of a self-promotion advertisement.
Powering up funnel marketing.
You can include a chatbot to assist you and increase customer engagement at every level of your marketing funnel.
Assistance with quizzes, promotions, and contests.
Chatbots can help you implement and process data collected by many popular marketing tools, like quizzes and contests. They can also help run promotions by engaging customers.

AI Chatbot Development for Sales

Now, let’s be honest, a chatbot is not yet able to sell something as well as an experienced human sales professional. Moreover, the majority of people prefer interacting with humans, especially when discussing more complex topics. However, AI chatbot development can facilitate your sales process as a whole by assisting at several stages.

Offering product demos and showcasing them.
A chatbot can help increase conversions and boost page visitor engagement by offering and running an attractive showcase of the product. It can be personalized for different target audience segments for better conversion chances.
AI-powered personal shopping assistant.
The popularity of personal shoppers speaks for itself. AI can handle this task extremely well, especially with its capabilities for data processing and personalization. It may not sell directly, but it will help customers choose products, as well as cross-sell.
Providing quotes and estimates.
Integrating AI chatbot development with your databases and business tools can create a bot capable of giving precise quotes and promoting your products at the same time. It’s a great opportunity for growth and conversion.
Connecting sales and customer support.
Offering sales assistance, product promotion, and customer support in one place is a sure win with the customers. Create a chatbot that will help your visitors in every way and switch automatically to guide the user to conversion. AI is advanced enough to do it. You just need a custom product development team that can unlock its potential for you.

Bottom Line: Chatbot Development Is for Everyone

The simple truth is that every business today can benefit from investing in a chatbot development company. The potential in this industry is limitless. You can use the bot to assist your own business from within or to engage your customers. The only limits here are your imagination and current technology level. However, the latter is growing fast.

We’ll stop here today. However, in the future, expect to see more articles about applying chatbots in different industries, including healthcare and fintech.

How to Hire a Fintech Software Company

Posted on January 25, 2023February 8, 2023 by mkoftielieva

Are you looking to hire a fintech software company to develop an innovative solution for your business? With so many companies offering different services and packages, it can take time to determine which is the right fit for your needs. In this blog post, we will provide you with the necessary steps to help you find the perfect software company for your project. We will discuss every step, from researching potential companies to negotiating terms and signing a contract.

How does this intro sound to you?

As you know, Devtorium has been working on an AI-powered platform Marquètte, an online content generator that can help copywriters and marketers everywhere. We’re proud to announce our latest update, Content Templates. They are blueprints that allow users to generate specific types of texts optimized for various purposes. At the moment, our primary focus is marketing texts, including:

Product descriptions
SMM posts/ads
Blog posts
Quora answers

However, we are expanding our templates library. We already have several options useful for students, such as an online essay generator or a template that can provide you with complex mathematical formulas.

Of course, AI is not as good a writer as a talented and experienced human. However, it’s learning with every iteration, so the quality of the content it can generate constantly increases. Check it out for yourself by reading the post below. Find out how to hire fintech software developers in the words of artificial intelligence.

Hiring a Fintech Software Company Step 1: Research the Market

Research potential companies to hire by Googling and reading reviews on specialized websites, like Clutch. Look for companies specializing in fintech software development with a proven track record. Ask for references and get in touch with their former clients to learn more about their experience. Finally, ensure the company you’re considering has the necessary skills and experience to deliver the desired results.

Step 2: Set Your Requirements for a Fintech Software Company

Start by creating a list of criteria for selecting a fintech software development services provider. Consider the company’s size, its experience in the fintech sector, and its portfolio. Additionally, review their customer service policies and pricing structure. Make sure to include its reputation and customer reviews in your considerations. In addition, define your project goals so you can make sure that the fintech software company has the necessary skills stack.

Step 3: Request Quotes from Fintech Software Development Companies

Reach out to potential fintech software development providers and ask for quotes. Make sure to provide them with all the necessary information about your project. Ask for a timeline of when the project will be completed. Compare quotes from different companies and choose the best fit for your needs.

Step 4: Review Fintech Development Projects Portfolios

To select the right fintech software company, compare portfolios from several vendors. Look at their past projects and read reviews from previous clients to get a better idea of their services. Then, ask questions to ensure that the vendor can meet your requirements. Once you have selected the right partner, you can begin the project.

Step 5: Ask for References and Check Fintech Software Company Reviews

Before you hire a fintech software company, ask for references from their previous clients. You should also check online reviews to see what other people say about their services. Make sure to read both positive and negative reviews to get a full picture of their expertise. Finally, ask questions so that you can be sure that the company is the right fit for your project.

Step 6: Negotiate Terms and Agree on a Project Timeline

Once you’ve chosen a fintech software company to work with, it’s important to negotiate terms and agree on a timeline for the project. Discuss the project scope, budget, and timeline in detail before signing any contracts.

Step 7: Sign a contract and begin the project

Once all details with the fintech software development provider are settled, it is time to sign the contract. Make sure all terms and conditions are clear and agreeable before signing. If you don’t have an in-house professional, consider discussing the document with a legal expert before finalizing the deal. Once the contract is signed, you can begin the project.

Bottom Line: Hire Fintech Software Developers You Can Trust

Hiring a fintech software company can be daunting, but with the proper research and criteria, you can make the process much easier. Taking the time to contact potential companies, compare quotes and review portfolios, and ask for references and reviews is essential to finding the right fit. Once you have identified the best candidate, negotiating terms and signing a contract will help ensure that your project runs smoothly and successfully. With these steps in mind, you can find the perfect fintech software company for your needs.

So, what do you say about a post generated by AI?

Does it meet your expectations?

Devtorium Software Product Development Company: 2022 Progress Report

Posted on December 29, 2022February 9, 2023 by mkoftielieva

The war in Ukraine, the worldwide COVID-induced supply chain collapse and the global economic crisis are the things that defined the year 2022. Of course, no software product development company remained unaffected by these major factors. As a result, the already competitive industry has become a cutthroat battle for new projects. Devtorium is proud to report that despite all challenges, we are closing the year with new projects, promising negotiations with prospective clients, and mastering innovative technologies.

Devtorium Software Product Development Company: Yearly Report

At Devtorium, we’ve always believed that the true strength of a business is the people. This year provided us with solid proof of that. Our teams turned the trials they faced into opportunities to show their strength of spirit and admirable work ethics. Delivery schedules became the topmost priority for every developer as they refused to get behind on their work regardless of the circumstances.

The results of this dedication and professionalism speak for themselves:

Many of our developers work from Ukraine and struggle with disruptions caused by the war. However, wartime challenges didn’t make us lose a single client. We remain firmly within project deadlines regardless of any power outages and missile strikes.
We’ve started two new projects in 2022. One is a comprehensive insuretech solution that consists of several products. It’s powered by .NET, React, and PostgreSQL technologies and is completely cloud-based (AWS). Another is a React-powered travel app focused on accessibility.
We’ve completed negotiations and will launch two new projects in January 2023. One is a large-scale ad-tech solution powered by .NET and Angular. The other is a verification software product based on Node.js and React.
We’ve launched two proprietary products developed by Devtorium teams. Our AI-powered content generation platform Marquètte is currently receiving a big upgrade with the release of the Templates feature. Now it’s even easier for copywriters to use it for creating top-quality original content. Devtorium also used the Bubble no-code platform to develop our own ERP solution. Our HR and recruiting specialists are currently testing it, and developers are improving the solution based on their feedback.

Devtorium Software Development Plans & Goals for 2023

Devtorium is always looking into the future as a software product development company. We are implementing innovative technologies in our workflows to achieve better results. Our primary focus for 2023 is AI development.

The company already has experience in creating our AI-powered platform, Marquètte. Working on this project has been both challenging and exciting. Most importantly, it gave us the experience of interacting with AI engines and a better understanding of what we can achieve with this tech.

We plan to further this work next year. At the moment, our company is in the process of negotiations for an auspicious AI project. It could result in the development of an AI-powered chatbot for foreign language learning. The team will be creating it from scratch using GODEL by Microsoft.

We are delighted to share that the company is currently negotiating with several prospective clients. Moreover, our potential projects will engage not only our outstanding developers, Business Analysts, and Project Management specialists. In addition, we have plenty of exciting work planned for our Data Science team.

Also, we keep searching for new opportunities constantly. Our sales and marketing teams are always active, looking for clients both online and offline. In January, our American management representatives will present Devtorium at a big conference in Las Vegas. ASW is one of the foremost hubs for IT service networking, so we look forward to this event’s results.

All in all, our work never stops!

Devtorium is proud of what we have accomplished this year, and we are looking at a brighter future with new opportunities.

We’d like to thank our incredible team. None of it would have been possible without you!

How Artificial Intelligence Software Development Will Transform in 2023

Posted on December 21, 2022February 9, 2023 by mkoftielieva

Artificial intelligence software development is the rockstar of 2023. In fact, we could say that it’s the fastest-growing tech in the 21st century. Things can’t be any other way because the world is rapidly spiraling into a crisis of unprecedented proportions. However, various applications of AI can slow, stop, and even reverse this descent. It’s only a matter of targeting AI-driven software development correctly.

We will see it growing in the directions listed below in the upcoming year.

Artificial Intelligence Software Development in 2023: General Outlook

AI for sustainability

According to Gartner, sustainability is the leading trend for all technological development in 2023. Therefore, it’s no surprise that we will see many applications of AI in various sustainability projects.

In this case, the uses of AI are incredibly versatile. We will use AI processing power for calculating and predicting current environmental issues, sustainability rates, and potential project success. AI will also be widely applied in solutions that aim to reduce the carbon footprint of everything from smart homes to manufacturing enterprises.

AI-driven software development in predictive analytics

The artificial intelligence software development sector that creates predictive analytics platforms will keep growing and improving rapidly. It’s because the pandemic and the supply chain crisis it triggered made the global economy extremely volatile.

Therefore, many businesses must rely on predictive data analytics to survive. But, unfortunately, the level of volatility isn’t going to go down soon. So, better data analytics capabilities are a must-have to help businesses deal with disruptions.

Moreover, accurate AI-powered analytics solutions are necessary to monitor businesses in real time. It’s essential to understand how adequate your company’s response to the current situation is. Leaders can use this data for risk management and crisis prevention.

AI-driven software development has unparalleled data analytics capabilities. In addition, the demand from all industries will make this the hottest trend for AI software development companies.

Artificial intelligence software development for automation

One of the most significant issues of the 21st century is the global shortage of workers in many industries. Everyone, from laborers at manufacturing plants to farmers to office workers, seems to be quitting their jobs. Moreover, finding replacements is extremely difficult and prohibitively expensive.

The solution to many labor shortage-related issues is AI automation of multiple tasks. The power of artificial intelligence can be applied everywhere, from HR recruiting research and candidate selection to robotizing manufacturing chains.

In 2023 we will see more AI-driven software development in the areas of automation that include:

Chatbots
Data processing and analysis
Menial jobs automation
Data entry and collection

It’s also important to note that automation is geared not only toward substituting for the workers who aren’t there. In addition, it’s an essential tool companies can use to improve the quality of work. Therefore, they can increase employee retention. Today’s qualified professionals don’t want to waste their work hours on mind-numbing repetitive tasks. Therefore, automation that frees your teams’ time for solving high-level problems can bring you a competitive advantage as an employer.

However, there is another side to this issue. The number of specialized workers is decreasing, but the unemployment rate is growing. This situation breeds resentment in certain groups that believe ‘machines are taking away jobs’.

Those same arguments existed during the start of the industrial revolution. As we can see, machines haven’t replaced people then. They simply moved humanity, as a whole, to a new level. It’s the same now. Humans are desperately needed in many industries. However, they need to be better educated and qualified to complete tasks that machines cannot.

Low-code/no-code artificial intelligence software development

There aren’t enough qualified software engineers in the world today. One of the solutions to this issue is the continuing rise of low-code/no-code AI platforms. Not only do they enable experienced professionals to save time. These platforms also allow non-professionals to become developers.

AI is unable to replace developers completely. Also, these platforms require multiple highly skilled and experienced devs to create and maintain. However, despite all this, these platforms can greatly help numerous companies. Right now, they are in high demand among small businesses and startups.

Low-code and no-code tools will continue getting more popular. Using this type of AI-driven software development for further business automation is a fantastic strategy for the coming year. Enterprise-level businesses, in particular, will leverage no-code development to its maximum. This way, they can boost efficiency and cut costs on development.

AI software development for content creation

According to research, about 30% of all outbound content from large companies and organizations will be AI-generated by 2025. Because the demand for content is enormous, human creators simply cannot keep up with the required speed.

Of course, there is a big part of creative content that AI can’t replace. However, machines can easily handle writing the majority of formal and marketing messages.

Note that this is relevant for all types of content, including videos, images, music, and text. You can check out one of the foremost successful projects that gained popularity in 2022, Midjourney. It’s an extraordinary visual content generator.

Another example is Marquètte, an AI content generator developed by Devtorium. It’s an AI content writer that can create many kinds of texts, from blog posts to essays. It produces original content that can greatly help marketers and copywriters save time.

Artificial intelligence software development for security

The importance of digital security is growing with every passing moment. AI has unparalleled capabilities in identifying and fixing weaknesses and abnormalities. Therefore, it’s no surprise that much of AI’s development trends will lie in the area of cybersecurity.

Solutions that help users take control of their data and protect it from invasion will be as in demand as solid firewalls. Also, solutions that run systems checks and analyses for any threats are already popular and quickly evolving.

AI-driven software development in healthcare

AI software has already transformed the healthcare industry. However, this trend will continue in 2023 and beyond. Enterprise-level systems require AI for better management, especially where complex database and finance management are concerned.

Also, there are AI-powered software solutions for individual healthcare consultations, vitals tracking, etc. All in all, due to its extreme complexity and need for connectivity, the healthcare industry is one of the most lucrative places for AI tech to grow. So, we will keep seeing more developments in this field.

Moreover, we will see a higher level of automation and robotics being applied in healthcare. Already there are successful projects on prosthetics and neurological implants. They can give hope and increase the quality of life for millions of people.

Computer vision AI development

Computer vision is one of the foremost AI-powered technologies we will see growing in 2023. It is quite widespread already, powering various solutions, from self-driving cars to the aforementioned healthcare apps.

We will see computer vision AI protocols becoming more sophisticated. Therefore, artificial intelligence software development that uses this technology will be capable of completing more tasks with a higher accuracy level.

In addition, this tech’s data analysis and response quality will improve, increasing its applications. This, like nothing else, has the potential to take artificial intelligence software development to the next level quite fast.

Bottom Line: The Time of Artificial Intelligence Software Development Has Come

We live in an era where custom software development can give any business a crucial advantage in a competitive market. The power of AI in this context is staggering. The level of automation it can provide, even at the most basic AI applications, can revolutionize entire industries.

These processes are happening already, and in 2023 the demand for AI-driven software development will only increase. We face multiple problems globally, from the supply chain crisis to the shortage of qualified labor. AI might not be able to solve these issues entirely yet. However, it certainly can help combat them and help businesses survive and prosper in these challenging conditions.

If you are interested in learning more about how AI-powered tech can help you or seek to create your own solution, contact us anytime!

What Is Conversational AI? History of Chatbots

Posted on December 14, 2022February 9, 2023 by mkoftielieva

Conversational AI is so much a part of our lives now that we take it for granted. In fact, many people won’t even recognize that they are talking to an AI when interacting with customer support. That’s actually an issue that might cause your sales to drop. We’ll discuss the reasons for it and how to avoid this while getting all chatbot benefits.

It’s vital to remember that technology has undergone a fantastic transformation over the past few decades. Understanding the history of its evolution can help make more accurate predictions about the future of AI. It’s also essential information for those who plan their investments for the upcoming years. So whether you think of it as an investor or as a business owner, putting your money on conversational AI is sure to be a win.

History of Conversational AI: First Chatbot Examples

AI technology became a trend only a few years ago. However, the first chatbot was built in 1966. Named ELIZA, this was a rather primitive program compared to our current solutions. Funnily enough, the idea of ELIZA was to simulate a psychotherapist. Its behavior followed the extremely annoying trend of turning every user’s sentence into a question.

Obviously, ELIZA’s ability to communicate was minimal. We assume that the same goes for its proficiency in therapy. However, it was an important step for chatbot technology development.

The next big chatbot project was PARRY, ‘born’ in 1972. This time, conversational AI was simulating a patient suffering from schizophrenia. It performed admirably well as some psychiatrists couldn’t identify it as a machine while ‘talking’ to it. However, PARRY’s actual ‘talking’ ability was also minimal as well.

We can see a trend here. So, when you use a voice assistant or a chatbot support service today, remember that psychiatrists were the first to work with their creation.

From those first attempts, chatbots kept evolving until the rise of the semantic Web 4.0. This technology gave machines the power to understand context, skyrocketing chatbot evolution.

40% of all user interaction with a support service is purely emotional, so your chatbot must be capable of ’emotion’ as well

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Can Users Tell a Conversational AI from a Human?

Today, conversational AI chatbots are highly advanced and can emulate human interaction well because of sentiment analysis technology. It’s a recent development, and that’s why conversational AI has made several giant leaps in recent years.

To get some idea of how important this is, you should consider that about 40% of all user interaction with a support service is purely emotional. Chatbots based on repetition couldn’t provide valuable interaction in these situations. However, machine learning and NLP changed this. Now, a chatbot in customer service is capable of identifying and processing emotions and sentiments from the user’s request. Moreover, it’s capable of replying with a degree of simulated emotion. That’s what makes conversational AI appear human.

We must mention, however, that our ability to understand whether we communicate with a human or a machine is limited. For example, the PARRY mentioned above, which was a non-advanced system that didn’t even rely on self-studying AI, could fool certified experts. Five psychiatrists interviewed the chatbot in 1979 using teletype to hide the fact that it was a machine. They were supposed to determine whether it was an AI or a real person with a psychiatric disorder. Only one expert could clearly determine the difference between an AI and a real patient.

Imagine how much harder it would be now, when every AI-powered chatbot in customer service learns and improves with every interaction.

Business Impact of Disclosed and Undisclosed Chatbots

The role of conversational AI chatbots has entirely changed with their integration into popular messaging systems. Many brands launched their chatbots to offer services through such platforms. So, today most people interact with some type of AI-powered support through:

Telegram
Viber
Whatsapp
Facebook Messenger

As you know already, conversational AI has been developing to mimic emotional human interaction. Therefore, it’s become hard for people to notice who exactly they are communicating with. Of course, some chatbot services explicitly state they are exactly that. So there is no confusion on the user’s part.

Meanwhile, there are undisclosed conversational AI chatbots. They can achieve fantastic results, especially in sales. Presumably, a chatbot can achieve the level of a specialized shopping assistant. Therefore, it can help retailers increase the number of conversions by providing more personalized top-quality service.

However, should the consumer find out they’ve been interacting with conversational AI during the process, they get upset. As a result, they buy fewer products and might even switch to a different brand.

Apparently, studies indicate that humans consider chatbots to be limited and more ‘primitive’. Therefore, when interacting with disclosed conversational AI chatbots, they use very simple language. Oftentimes, users will bring down the level of their vocabulary when interacting with a program due to their desire ‘to make the machine understand’.

However, humans don’t always do this because they think machines are too primitive to understand human language. The main driving force for this behavior is our understanding that machines are incapable of empathy. At least for the moment, it’s a complete truth. No matter how advanced conversational AI is, it will only mimic human emotion during the conversation.

Is Conversational AI ‘Alive’?

Semantic Web 4.0-level technology can identify and interpret human emotion (to some degree) when processing data. Therefore, conversational AI chatbots are capable of interacting with humans more efficiently and appear more alive. So, it’s harder for users to understand if they are dealing with a human or chatbot in customer service. In fact, chatbot help turns out to be about four times more efficient.

However, humans are creatures prone to bias. Thus, as long as we are stuck believing that machines are incapable of understanding and projecting emotion, we will be uncomfortable with them doing it.

As you can see, issues discussed in science fiction novels decades ago have become our reality today. AI chatbots aren’t ‘alive’, but they learned how to mimic humans better. Combined with the outstanding processing power of artificial intelligence, we can expect this technology to become even more helpful and ‘human-like’ soon.

A chatbot is FOUR times more efficient in customer support.

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Conversational AI Chatbots Vs. Assistants

Advancements in conversational AI technology mean that its applications are growing. Similar to how computer vision tech goes into everything from self-driving car navigation to facial recognition software, conversational AI helps create different programs.

Of course, the most numerous are AI chatbots, which provide various support and educational services. However, today this technology has become a big part of the rapidly-developing AI-powered virtual assistants industry. Leaders among them are:

Siri (Apple)
Cortana (Microsoft)
Google Assistant
Alexa (Amazon)
Watson (IBM Cloud)

The difference between conversational AI chatbots and assistants is that while both are conversational interfaces, they fulfill different roles. A chatbot in customer service will answer questions and offer suggestions based on preset parameters. This type of software follows the same pattern when used in education as well. Basically, it’s a machine that provides information based on a prompt from the user.

Meanwhile, virtual AI-powered assistants help you with everyday tasks. Their features are versatile, for example, reminders, to-do list management, search assistance, note-taking, etc. In essence, this solution is your personal secretary. In addition, these assistants can be connected to smart devices and integrated into your IoT network. So, you might be able to manage most of your house through voice commands and your smartphone. That voice command feature is powered by a version of conversational AI.

Although they apply this technology differently, chatbots and virtual assistants run on the same principles of AI tech. Moreover, we can expect both these branches of conversational AI to keep growing at an astounding pace.

Bottom Line: Who Needs Conversational AI Products Today?

To put it simply, every business, both big and small, can benefit from implementing AI chatbots in some processes. They are good for automating routine tasks, like basic consultations and surveys. You can also use them to provide higher-quality customer support. It can be a huge advantage for small businesses, in particular.

Moreover, you can use bots powered by conversational AI for education and onboarding. Therefore, big companies can implement them to increase the productivity and efficiency of their overall operations.

There is no shortage of conversational AI chatbots applications, so you should definitely consider adding them to your business arsenal. Contact the Devtorium AI team to learn how this technology can benefit your business. We can build chatbots from scratch to ensure that the solution is custom-tailored to your needs and can grow and scale up alongside your company.