How to Hire an Offshore Outsourcing Software Development Company

Outsourcing software development offers a range of benefits to businesses of any size. The main advantage of this method is flexibility as outsourcing gives you access to a huge pool of talent. However, as much as it could help you, entrusting your product development to offshore specialists could also cause problems. The secret to success here is to hire a reliable outsourcing development company you can trust. This guide will help you with this by pointing out the most important factors to consider when choosing this service.

Benefits of outsourcing software development.

Advantages of Outsourcing Software Development

Before we get into the ‘how’, you need to understand whether outsourcing is the right choice for your business in general. An in-house team means you have more control of the workflow at every level. However, building your own team is guaranteed to be more expensive.

Meanwhile, outsourcing offers the following benefits:

  • Access to versatile tech talent
    When outsourcing software development you have access to all talent worldwide. Therefore, you can definitely find the exact combination of skills and tech expertise required to build your ideal product. For example, you can build an AI development team containing experts who specialize in AI training combined with expert developers who can build the system to their specifications.
  • Shorter time-to-market
    As you aren’t limited in tech expertise and don’t need to spend time recruiting and talent on your own, the product development journey will be shorter. Even if you need to recruit additional experts during the development process, the Devtorium IT recruiting service will do this for you. Therefore, you get to release your product faster and with minimal disruptions.
  • Easy scalability
    Having complete control of an in-house team also reduces its flexibility for scaling. However, when you are outsourcing software development, scaling won’t be an issue. Note that this is true both for up and downscaling. The size of your team will always correspond to your current needs and budget.
  • Quick team expansion
    Note that you don’t have to outsource the entire development project. In fact, you can often achieve better results by choosing IT outstaffing services. In this case, you will enhance your in-house team with additional tech expertise by recruiting offshore specialists. This is a great option for scalability and increasing your product functionality by hiring experts in highly specific areas.
Tips on how to find an offshore software development company.

How to Hire an Outsourcing Software Development Company: Step-by-Step

  1. Outline your requirements
    First of all, you need to have a clear idea of what you want to achieve with your product. In order to choose an outsourcing software development company you need to understand what sort of technical expertise you require. Note that you don’t have to create a complete plan of technical features for the product. However, it will be best to research your prospective competitors and make a list of features you want to have. This way, you will be able to narrow down the pool of outsourcing candidates. For example, you can look for someone with expertise in fintech development, or creating insurance platforms, etc.
  2. Research offshore outsourcing companies
    You can use reputable platforms, such as Clutch, to collect information about various offshore outsourcing companies. A reliable provider will have all the essential information on their website. There you can learn about the services they offer and take a look at the case studies portfolio to get some idea of the company’s expertise.
  3. Conduct an interview and get a proposal
    The next step is to contact the company and set up a meeting where you can discuss your project. You can arrange a free meeting with the Devtorium team anytime. During this meeting, we will collect your requirements and talk about details in order to understand how we can bring your ideas to life. Then, we will provide you with some estimates and a proposal. When ‘shopping’ for a 
  4. Start collaboration with the outsourcing software development company
    Once we settle on the proposal, we can start collaborating to meet your goals and deadlines. Devtorium Project Managers will establish the lines of communication and set up the workflow to ensure that the project stays within the budget and delivery times outlined in the contract.
Best countries for outsourcing software development.

Best Destinations for IT Outsourcing Today

The first task that lies before you when looking for an outsourcing software development company is to choose a country. This shouldn’t be too difficult as there are reports that allow you to understand where exactly the IT outsourcing industry is the strongest. Moreover, you can find out average rates and see which destinations offer the best cost-to-value ratio for the client.

  • Ukraine
    Despite the war currently going on in the country, Ukraine remains the top IT outsourcing destination in Eastern Europe. The revenue generated by this industry has been steadily growing over the last decade and russia’s invasion didn’t impede this growth. According to Statista, the IT outsourcing industry is set to generate $1.7 billion in revenue in 2023 and double that within the next five years.
  • Poland
    Poland has the largest workforce of development professionals in Europe (about 500 000). About 40% of these professionals work in the IT outsourcing industry. Polish software development vendors provide highly skilled labor at a reasonable rate.
  • India
    India is one of the most popular software development outsourcing destinations due to the affordability and abundance of developers. The country has a huge pool of STEM graduates with about 2.5 million added every year.
  • Brazil
    Brazil is the top IT outsourcing destination in Latin America. It’s particularly appealing to US businesses because there are very few issues with time zones. The country heavily supports the IT outsourcing industry through favorable legislation and promotion of technical professions within its education system.

Hiring an outsourcing software development company can be a game-changer for your business. So, don’t hesitate, and take the first step right now!

What Is the Best Website Building Platform for Small Business?

The biggest challenge in choosing the best website building platform for small business today is that there are just too many of them. No doubt, when you visit the websites of different builders, you’ll see claims that they are the best and an impressive list of features used to prove it. Indeed, the truth of the matter is that many of these platforms are excellent. So, a business owner who is not an experienced tech professional working with websites might get confused fast.

Today, we’d like to bring some clarity to this issue. Devtorium has built dozens of websites for various industries, ranging from travel to eCommerce to derivatives trading. This experience gives our developers a perspective that enables them to help every client choose a website building platform best suited to their unique needs.

Below is a list compiled by our web development experts who share their top 5 website builders. These platforms are flexible and affordable, which makes them a great fit for small businesses.

Best website building platform for small business: WordPress, WIX, Shopify, Bubble, Webflow.

Best Website Building Platform for Small Business: Top 5

WordPress (+ WooCommerce)

WordPress is the number one website-building platform today. Over 43% of all websites on the internet run on WP. Despite the complex customization system, WordPress is the most flexible website builder you can find. If you wish to be in charge of the site and want to add unique functionalities and features, this is the choice for you. In fact, the Devtorium website is built on WordPress, so you can see exactly what our developers can do with this platform.

Moreover, small businesses specializing in online sales can easily create a WordPress store using a specialized plugin, WooCommerce. It’s one of the best eCommerce platforms today, and it allows you to run a store easily.

WordPress benefits:

  • WP is a powerful content management system (CMS) that is free to use. You must pay only for a hosting company and domain names.
  • WordPress is an open-source platform. Therefore, you can create a site with unique functionalities even with a small budget.
  • This platform has a vast library of add-ons and plugins (over 60,000). Having unlimited access to various extensions (free and premium) makes this builder the most flexible for adding features and designs.
  • There are thousands of themes and templates (free and premium). Therefore, you can create a beautiful site even without hiring a UI/UX designer.

AI capabilities:

WordPress offers multiple AI plugins that can diversify and boost website performance. They can perform various functions, including content creation, virtual assistance, security, and more.

Bubble

Bubble is our favorite no-code platform. Users created 2.3M+ apps on it, and the platform raised $10.3 billion in funding. Bubble has a robust and, most importantly, scalable infrastructure. Therefore, it’s perfect for entrepreneurs building MVPs and also serves as a great website building platform for small business.

Bubble benefits:

  • Bubble.io is one of the most scalable no-code platforms. It’s easy to update and maintain your Bubble website. 
  • The drag-and-drop design saves you time and money. You can design custom web apps from scratch without the limitations of preset templates. 
  • The platform handles hosting, so there are no hard limits on the number of users or data storage.
  • Bubble web development is compatible with all browsers and operating systems.

AI capabilities:

You can integrate AI in Bubble.io and optimize the website how way you want. It’s compatible with top trending technologies, including OpenAI and ChatGPT.

Webflow

Webflow is a no-code development platform that’s already used by 200,000+ organizations and businesses. Moreover, Webflow highly customizable. This website building platform for small business is a good option for design-oriented customers who wish to style the site precisely the way they want.

Webflow benefits:

  • Due to advanced design features, you can create complex rich animations, parallax scrolling, and a variety of micro-interactions. 
  • Webflow comes with a built-in Content Management System (CMS). Therefore, you can effectively manage and modify all your content with this tool.
  • The platform offers an extensive list of SEO tools and optimization options.
  • Webflow has a huge library of integrations, including app integration and automation, content marketing solutions, analytics, and targeting tools.

AI capability:

Webflow was planning to develop an integrated AI feature that would assist platform users. However, as of now, they only allow for the integration of third-party AI tools. You can learn more about Webflow’s plans for AI development from their blog.

Tips for choosing the best website building platform.

Shopify

Shopify is a website building platform for small business that specializes in online sales. As eCommerce goes, it’s hard to find a more comprehensive solution. Devtorium developers worked with Shopify extensively and they are very happy with the platform’s functionality, stability, and security. This all-in-one platform powers 10% of total US eCommerce sites. As Shopify offers unlimited storage and no product limit, you can scale from small to big online stores. This website builder works best for businesses that want to launch an online store really fast.

Shopify benefits:

  • The platform’s advanced functionality enables you to manage your online store easily. Shopify offers everything from marketing and payment tools to secure transactions and shipping options support.
  • You can use Shopify to sell online or in-person. The platform supports multiple outlets, including web, mobile, social media, online marketplaces, pop-ups, in-person events, retail locations, and brick-and-mortar stores.
  • Shopify is completely cloud-based and hosted. Therefore, you don’t have to worry about issues like web hosting, security, caching, etc.
  • Shopify has a 24/7 support team. It’s one of the few eCommerce platforms offering 24-hour customer service via email, live chat, and phone.

AI capabilities:

Shopify recently introduced a new AI tool called Shopify Magic. This proprietary solution helps users generate product descriptions for their shops. However, bear in mind that Shopify Magic’s suggestions may not be 100% on target. It’s a common weakness of all AI content generators.

Wix

Wix is a website building platform powering over 10.8 million sites. It has quite a few limitations in site management and design. However, this platform is well-suited for small businesses, consultants, bloggers, and entrepreneurs.

Wix benefits:

  • Wix provides access to its own web hosting and domain names (free and paid).
  • There is a built-in SEO tool. Therefore, you can improve the site’s ranking effectively.
  • Wix considers website safety and security. For example, all their websites have an SSL certificate and are automatically backed up.
  • Wix offers 24/7 customer support services for all paid plans.

AI capabilities:

Wix has artificial design intelligence (Wix ADI) that can assist you in designing a beautiful website. However, this feature is only available for some types of projects (portfolios, yoga sites, etc.). If your project fits the AI’s requirements, it will create images and content. In addition, it will connect your social media, create a contact form, or pick a suitable design for your audience.

Bottom Line: How to Pick the Best Website Building Platform?

The process of choosing the best platform and building a website using it can be rather straightforward and easy. As a business owner, you just need to take the following steps:

  1. Make a list of the things you want your website to have and do. It will be easier if you do some extra research. For example, you can look at what your competitors’ sites are like. Also, you can add some ideas of the things you enjoyed on various pages while browsing the Internet.
  2. Contact the Devtorium team and arrange a free consultation at a time convenient for you.
  3. Share your list of requirements with us. Devtorium developers, analysts, and designers will quickly come up with suggestions and estimates. Next, we’ll provide an offer with different options that will highlight different perks of specific platforms that you can benefit from while staying within budget.
  4. Pick the offer that you like most, and our dev team will do the rest. You’ll have your website up and running in no time!

How to Use Generative AI in Real-Life Business

Generative AI is the buzzword of today. Everyone must have tried using at least one of the available solutions by now. ChatGPT alone has over 100 million users, and Midjourney isn’t too far behind. However, if you are a business owner looking to boost your services or workflow with tech innovation, your main question should be, ‘how to use generative AI in my business?’

We are here to answer this question today. Devtorium offers a wide range of AI software development services, and our solution engineers have expertise with different types of AI frameworks. According to our experts, the only limitation when implementing AI into business is your creativity. Generative AI uses are indeed quite specific. However, using your imagination, you can make these instruments help with many everyday tasks.

How to use generative AI for business.

Step 1: Choose the Type of Generative AI Applications You Need

Generative AI is a technology that trains using specific datasets, and, based on that training, it learns to generate various types of other datasets. Simply put, developers input massive databases that the AI processes and learns. Then, it creates different types of content based on the information it consumed.

It’s also important to note that generative AI applications are today’s top tech trend. They’ve been on a steep rise since 2020 and, according to Gartner, reached the ‘Peak of Inflated Expectations’ in 2022. ChatGPT made this technology truly mainstream as it introduced AI to the mass market. Every person with a computer and internet access could use ChatGPT and get some answers from it. This showed people without connections to software development that AI technology is real and that generative AI uses are endless.

The quick popularization of other AI tools pushed this technology forward faster because, as mentioned before, it learns when it works with data. Therefore, AI improves with every task it completes.

When you consider how to use generative AI in your business, you need to start by researching the types of these tools. The most basic way to separate generative AI into types is by the kind of output content they produce. However, remember that some AI solutions are highly complex and can generate various content.

  • Text generation
  • Code generation
  • Video generation
  • Image generation
  • Sound generation
  • Research and explanation

The last type refers to generative AI uses in research where such tools can process, simplify, and summarize complex texts. For example, you can use Elicit or Enago Read for these purposes. Other popular generative AI apps are ChatGPT, DALL-E, Bard, DALL-E, and Midjourney, which create different content based on user-given prompts or dialogue.

Generative AI tools and their types.

Step 2: Generative AI Application in Real-Life Situations

Types of these tools seemingly make it obvious how to use generative AI. However, are you sure you’ve thought of all the ways this can be implemented in business?

Here’s a list of some ideas for you to consider:

  • Text content creation can be used to make marketing materials, blog posts, advertisements, and even work emails for some situations. For example, if you don’t have a talent for creative writing, generative AI tools like ChatGPT can help you write proposals, congratulatory emails, and even feedback.
  • You can use generative AI to edit texts as well. The tool can help you improve grammar and style or make some translations. However, it’s admittedly not perfect in translations, so be careful with how you use that output.
  • When you need to make guides or other helpful documentation for your customers, you can use AI generators to simplify technical texts. So, you’ll create posts and papers that are easy even for non-professionals to understand.
  • Image and video generators can also be used in marketing. You can create everything from a brand logo to a complete set of marketing materials used in ads, banners, blog posts, and even website designs.
  • In other generative AI uses, 3D models can be implemented in manufacturing and used to aid business planning.
  • Architects can use generative AI applications to create and analyze existing designs.
  • If needed, you can use Midjourney and similar tools to create illustrations for your content.
  • Sound generation can be applied to create tunes for social media or for your personal artwork, as well as advertisements and presentations.
  • Text generators, like GPT-4, are part of responsive chatbots and other automated reply solutions. For example, you can program these tools to send automatic email replies.
  • Sound generation solutions can work with speech in different ways. One of them is speech-to-text, which will allow you to create records of lectures or important meetings.
AI applications in customer service.

AI Uses for Onboarding and Customer Service

Currently, the main areas of generative AI applications are employee onboarding and customer service. That’s because a chatbot is the most popular AI instrument used in business today. However, generative AI uses allow you to expand on those implementations, further boosting their efficiency.

Some ideas on how to use generative AI in onboarding and customer service include:

  • Creating educational courses using video and speech generation technologies.
  • Personalizing customer journey experiences.
  • Creating a support service for navigating the company or website.
  • Creating a service to collect and process complaints, using AI capabilities to allow the tool to resolve some common issues.
  • Developing a content recommendation system for customers to help boost sales.
How to use generative AI to boost your business.

Bottom Line: Who Needs Generative AI Apps Today?

This is only a short list of the most basic AI uses one can come up with today. If you are serious about improving your business’ productivity with this technology, you should book a free consultation and discuss your case with our AI solution developers.

AI applications are so versatile that they can benefit any business today. All you need is a bit of creativity and a lot of technical expertise. We have both and can help you achieve the best results with custom AI solution development services. These can be tailored to your budget and needs. Most importantly, they can grow with your business, offering continuous improvement and optimization.

What Are Devtorium AI Software Development Services?

Innovation is our everything, and AI software development services offered by Devtorium reflect that. We aim to ensure that our clients have access to cutting-edge technology. Together with you, we can create tech solutions that will give your business a competitive advantage even in this age of hi-tech races. Our software engineers, who specialize in artificial intelligence solution development, can use a variety of AI tools to ensure your business stays ahead.

In this post we’ll explain exactly what kind of AI solution development services Devtorium offers. Moreover, we’ll give you concrete examples of how these technologies can be implemented to give any business a boost.

Devtorium AI Software Development Services: Technologies We Use

Artificial Intelligence technologies used today can be roughly divided into three groups:

  • AI/Deep Learning/Machine Learning
  • Reinforcement Learning
  • Generative Networks

It’s vital to understand that when creating AI software solutions, developers usually have to use all these technologies. The solution architect working on your project will analyze the requirements and suggest a combination of technologies to fit your needs best. AI software is highly complex and usually takes both software developers and data scientists to create.

Data Science services are an integral part of any AI software development. Artificial intelligence literally runs on data. Therefore, working with different types of databases and optimizing these processes, for example, through vector embeddings, is crucial for producing solutions that can learn and improve as they evolve. Devtorium AI software development services create self-educating systems that will grow with your business and adapt to its changing needs.

How AI software development services can be implemented in real life.

AI Software Development Technologies: Areas of Implementation

Computer vision

  • Object Detection
  • Segmentation
  • OCR (Optical Character Recognition)
  • Human Pose Detection
  • Face Detection

Computer vision is one of the AI software development services we encounter daily. It’s combined with other types of AI tech to produce solutions that surround us everywhere, for example:

  • Auto-pilots for vehicles
  • Security systems (FaceID, fingertip scanners, building security footage analysis, etc.)
  • AR applications used for eCommerce and gaming
  • Scanning and transcribing text via a photo (try this feature in GoogleTranslate)
  • Advanced search through images, videos, and large documents

Large Language Models (LLM)

  • Text generation
  • Searching
  • Analytics
  • Summarising

The most well-known example of an LLM is ChatGPT. Pretty much everyone who is even a little tech-savvy today used this platform at least once. Its most popular features are text generative and writing code. However, it can do much more than that. For example, an LLM can create text summaries, descriptions of images, and different versions of the same content. It can ‘give advice’. However, the system is pretty straightforward in the sense that its advice is content generated based on your inquiry.

Note that these AI solutions can process literary texts, code, and any other kind of textual data. A part of Devtorium AI software development services is creating and ‘training’ LLMs to automatically deliver the type of service you need.

Role of data science in AI software development services.

Big Data

  • Statistic/Data Analytics
  • Data Transformation

Our world is data, and AI-powered data science solutions can make it work for you in every way possible. Devtorium’s team of data scientists is experienced in creating solutions that can extract and process data from various sources. Some of their projects included:

  • Deriving relevant information from digital reports and massive databases. Then, processing this data and visualizing multiple reports for eCommerce businesses to help the client make educated decisions.
  • Processing data from multiple sources and creating a predictive analytics model to forecast trends and market changes.
  • Transform data from one format to another for future processing and analysis. For example, one of our projects included collating handwritten notes from medical specialists, adding medical records data, prescriptions, and medical test results. The data was transformed, processed, and analyzed to provide necessary insights for an AI-powered healthcare solution.
  • Another project Devtorium completed entailed collecting data from fitness trackers, medical records, prescriptions, notes, and trainer comments as a part of an interactive athletes’ training tracking app.

Robotics & Automation Engineering

Implementation of robotics technologies at manufacturing lines is nothing new today. However, recent advancements in artificial intelligence solutions take this type of service to the next level. As a part of Devtorium AI software development services, our engineers can do much more than simply program the machines to do specific actions automatically.

We are now able to ‘teach’ robots the basics of behavior and program them to learn. As a result, you get automation that improves with every iteration. So, instead of a mindless drone, you get a helper that can increase overall business productivity and significantly reduce the risk of errors.

Bottom Line: Should You Invest in AI Software Development Services?

Answering the question of whether your business needs an AI-powered solution is easy. Just decide for yourself if you want your business to stay competitive on the market. Today implementing AI in various business processes is not about getting head through groundbreaking innovation. Already this technology is becoming so popular and widespread that not using it is sure to put you hopelessly behind.

If you want to not only retain a competitive edge but actually move forward, taking over a bigger portion of the market, contact us today. Devtorium’s team of AI software engineers will work with you to develop a strategy that can help your company succeed.

How Vector Databases Can Enhance Custom AI Solutions

Enhancing your workflow with custom AI solutions is the biggest tech trend today. However, as it’s still a relatively new technology, we face some challenges in handling large amounts of data. Vector databases can solve many of these issues and enable AI to process data faster and more accurately. Today, Devtorium AI specialists will share their knowledge of how vector embeddings and databases work and the best options available now.

What are vector databases and how they work with custom AI solutions.

Why Custom AI Solutions Need Vector Databases

First of all, we need to understand what exactly vector databases are and how custom AI solutions use them. These databases are designed to provide various AI models, for example, conversational AI, with a more efficient way to use data. 

Let’s start with vector embeddings, a type of data representation used by generative AI, Natural Language Models, and semantic search. In very simple words, it works like this:

  • AI generates vector embeddings infusing them with various attributes and features.
  • Features of embeddings represent patterns, relationships, and structures of data. They are what enables AI to “understand” content and context.
  • Traditional scalar-based databases aren’t the best fit for working with these embeddings because they can’t keep up with their complexity.
  • Vector databases are designed to work with vector embeddings. Therefore, they offer the highest levels of productivity and flexibility.
  • Using these databases allows AI to develop long-term memory and execute more complex tasks.

The picture below shows a basic representation of how a vector database works with vector embeddings. Notice how the database identifies similar embeddings associated with original content. This allows it to be faster and more productive in handling data.

How custom AI solutions refere to vector databases through embeddings.

How Does a Vector Database Work?

To understand why exactly vector databases are better for custom AI solutions, you need to know how they differ from other options. Traditional scalar databases store data in rows and columns. That’s pretty straightforward, secure, and efficient, but these rows and columns can be hard for AI to navigate. Even with immense processing power, identifying and reaching the needed data takes a lot of time.

Meanwhile, vector databases are different in their methods of data optimization and querying. Instead of querying a row with a perfect value match, vector databases use a similarity metric. Therefore, they are searching for a vector most similar to your query. To achieve this, they use a variety of algorithms combined into ANN (Approximate Nearest Neighbor) search. To optimize the search, these algorithms use:

  • Hashing
  • Quantization
  • Graph-based search

Boosting custom AI solutions: vector database pipeline.

The vector database pipeline (shown above) allows searching for information extremely fast. However, due to using ANN, the results you get are approximate. So, when working with this type of database, you need to understand that accuracy and speed are interdependent. It means that to get greater accuracy of results, you must lose speed.

That said, a good vector database, when used by custom AI solutions, should work so well that you get ultra-fast and ultra-accurate results.

Here’s how it goes step-by-step:

  1. Indexing
    The database indexes vectors using PQ, HNSW, LSH, and some other algorithms. It’s a mapping step that helps speed up the search.
  2. Querying
    The database compares indexed queries to the indexed vectors within the dataset to identify ‘nearest neighbors’.
  3. Post processing
    When needed, the database will retrieve the nearest neighbors and process them to achieve the final result with the highest accuracy.

How vector databases benefit custom AI solutions in real life.

Top Vector Databases for Custom AI Solutions Available Today

Devtorium’s software engineers working with custom AI solutions researched vector databases available today and selected the ones they consider the most efficient and promising.

  • Chroma DB
    It’s an open-source embedding database. Chroma lets developers add state and memory to their AI-enabled apps. It comes with everything a developer needs to store, embed, and query data, including built-in filtering, automatic clustering, and query relevance. It has both Python and typescript APIs, native support for OpenAI, and auto support for LangChain.
  • Pinecone
    This vector database makes it easy to build high-performance search apps. Pinecone finds and retrieves vectors, handles large amounts of data, detects irregularities and patterns in datasets, works well with the text, and can identify unusual behavior in time-series data.
  • Weaviate
    It’s an open-source vector database that allows you to store data objects and vector embeddings from various ML models. It scales seamlessly into billions of data objects. Weaviate offers semantic search, flexible schemas, time series analysis, and integration with deep learning frameworks.

How to Use Vector Databases in AI Solutions for Business

If you feel a little lost in all these technicalities and want to know exactly why you should consider using vector databases in custom AI solutions, see how they apply in real life.

  • Recommendation systems
    Providing personalized suggestions on your website certainly increases sales.
  • Searching for images and text
    Converting text and images into vectors makes finding similar ones easier. That’s especially useful in eCommerce, where customers can search for items using descriptions or photos. 
  • Natural language processing
    Representing words and sentences as vectors makes it easier for AI to understand and interpret human language. You can use this in document clustering and semantic search to increase accuracy. 
  • Fraud detection
    Vector databases can be applied to find data patterns that point to fraud. For example, a specific set of transactions with similar vector representations might alert your security system.

In the nearest future, a successful business will be one that effectively harnesses the potential of AI. At Devtorioum, we know multiple ways to boost the power of custom AI solutions. If you plan on gaining an advantage over competitors using one of these, contact us for a free consultation!

Introduction to AI Prompt Engineering for Midjourney

AI tools blew up the internet and changed our world almost overnight. However, one thing that most users learn just as fast is that AI prompt engineering is a challenging task. You can ask ChatGPT almost anything, and it will understand and offer some answers. But if you want to make AI generate a specific type of complicated text, you’re in for a struggle. It’s even harder when generating images, even with an AI platform as advanced and ‘experienced’ as Midjourney.

Devtorium teams are actively exploring the capabilities of artificial intelligence technologies. As part of this project, our UI/UX designers tested Midjourney thoroughly to understand the limits of this AI service and find the best ways to apply it in their work. Today, they share some insights about AI prompt engineering that they managed to get while studying AI-powered image generation platforms.

Before AI Prompt Engineering: How to Start Using Midjourney

Using Midjourney is quite simple, but it’s not as straightforward as simply downloading an app and entering a prompt. First of all, you need to have a Discord account. Once you set that up, you’re going to use Discord to access Midjourney. Start by joining its channel.

Midjourney takes care of its users by offering a very detailed and easy-to-understand set of docs. There you’ll find step-by-step instructions on how to:

  • Set up and use a Discord account
  • Join the Midjourney community
  • Generate images using commands
  • Learn various commands and parameters
  • Subscribe and manage your subscription
  • Upscale generated images

If you are having any issues, the community of Midjourney users is vast and quite friendly. Therefore, you should be able to get answers to any question fast.

At the moment, a monthly subscription to Midjourney costs $10 for a Basic Plan, $30 for Standard, and $60 for Pro. You can cut the cost when buying an annual subscription. Also, remember that the platform subscription will run out faster depending on the number of images you generate. Therefore, mastering the art of AI prompt generation will actually save you money as you’ll get accurate images faster.

Basics of AI prompt engineering: Midjourney interface.

AI Prompt Engineering Tips for Midjourney 

Now that you’ve set everything up, it’s time to generate images. So, you enter the command /imagine and enter your prompt. That’s where the fun starts because the prompt’s detail level and word order define the image you get. Note that the order of words and modifiers in the description matters quite a bit. So, if you want to be understood by AI, you must learn to speak its language.

That said, regardless of how advanced or well-structured your prompt is, you will always get an image. Moreover, the prompt structure isn’t fixed. It means that even if you switch some parts around, you’ll be able to get a beautiful and accurate image. However, as the Devtorium design team discovered, some structures just work better.

Here’s what they suggest using as a standard reference:

[Scene description]. [Modifiers], [Artist or style inspiration], [Technical specifications]

Now, let’s look at those parts and how to make the most out of this formula.

Scene Description

That one’s relatively easy. Your first step in AI prompt engineering is to make a short description of exactly what you want to see. For example, if you want to generate an image featuring pancakes dusted with sugar and surrounded by blueberries with a white background, that’s your scene description.

The most important thing to remember here is that when generating an image, start with a general description, adding specific details after it.

When generating an image with Midjourney, always start with a general description. Then, add details to make it more specific.

Modifiers

In essence, modifiers are the specifications that explain the machine what you want to achieve. It means that they are the most crucial element during AI prompt engineering. Your selection of modifiers will define the details of your image, so be precise but not overly descriptive.

Here are some general tips specific to Midjourney modifiers:

  • Put the words in brackets () if you want the AI to pay more attention to this specific detail. You can also use double brackets (()) to highlight the most important elements that AI must pay attention to.
  • Use modifiers to describe important image details such as lighting, style, mood, or specific image elements.
  • You can use a structure modifier:1.4 to draw the attention of AI to a specific element. It means that the machine will process it with a 140% value instead of all other words with a default value of 100%.

Using Midjourney: Commands and hacks for AI prompt engineering.

Types of Modifiers for AI Prompt Engineering

  • Type of art: digital painting, watercolor, concept art, portrait, full body, etc.
  • Style: epic realistic, fantasy, intricate, vivid, harmonious, lifelike, fantastic grotesque, architectural, balanced, cinematic, hyperrealistic, sophisticated, etc.
  • Lighting: warm lights, cinematic lighting, iridescent gold, dramatic lighting, dark, etc.
  • Detail complexity: intricate detail, photorealistic, realistic, emphasis on detail, etc.
  • Background description: complex background, color background, flowering landscape, etc.
  • Character description: appearance details (hairstyle, coloring, etc.), character action or pose.
  • Visual effects: art styles (oil painting, charcoal, etc.), photography style (bokeh, Adobe Lightroom, Photolab, etc.), 3D effects (Unreal Engine, Volumetric DTX, etc.), general (medieval, muted colors, pastels, impressionism, Bauhaus cubism, etc.)
  • Technical specifications: micro-details, 4K UHD image, RAW photo, extremely detailed CG Unity 8K wallpaper, etc.

Artist or Style Inspiration

This is also a type of modifier for AI prompt engineering. However, adding this specific element will affect the image greatly, so we thought it deserves a separate mention. Simply put, you can make Midjourney generate an image that will imitate your chosen artist’s style in great detail.

AI’s database is extensive so it can do equally good similes of classical painters and contemporary digital artists.

When you select an art style for this modifier, AI will use the works of top artists in this niche as a reference.

How to Learn AI Prompt Engineering from AI

As this topic is trending today, you can find an AI prompt engineering course on almost any education platform. However, the best way to learn is to ask AI itself. It’s easy to do when generating images through Midjourney because it has a command /describe.

When you use this command, you upload an image onto the platform, and AI will describe it for you. Studying the word patterns it uses will allow you to understand the way AI thinks. So, you can use such descriptions as a reference when making your own prompts.

However, you need to remember that artificial intelligence technology is only in the early stages of development. Therefore, if you use the same prompt that AI generates through /describe, you might get some very fun results.

AI prompt engineering by AI: How AI describes an image.

AI Prompt Engineering Limitations: Why We Still Need Human Designers

AI tech available to every user today can do some incredible things. However, it doesn’t mean that designers and artists will be out of work soon. In fact, knowing how well they work with AI is now one of the qualities of a reliable UI/UX design company. This technology is developing fast, but it has quite a few limitations. Starting to work on AI prompt engineering makes them very clear.

First of all, there are quite a few things that AI doesn’t understand. Nuances of meanings and personalized speech patterns are beyond it.

Simply put, if you take two people and have them describe the same image, they might give you two very different texts. It’s because we are guided by our perception, which is defined by our own experiences. So, where one person sees a stunning mountain landscape, someone else might see a desolate clump of rocks.

AI takes all prompts quite literally, so sometimes it’s very hard to make it generate exactly the type of image you want.

Moreover, artificial intelligence struggles with the negatives. So, your number one tip for AI prompt engineering is to never use exclusions. For example, avoid saying ‘the man doesn’t have an arm’. Instead, choose ‘a one-armed man’.

This limitation in understanding human speech is also the reason why prompts must be structured. When we describe something, we are mostly driven by emotions. However, AI always uses logic and math. The order of words you choose will affect how important it considers the details you list. It’s truly that simple.

However, as Devtorium designers commented while working on AI prompt engineering for Midjourney, the model learns extremely fast. So, we might all live to see when it becomes advanced enough to understand and translate into code even the most complex human emotions and fantasies.

What Are Data Science Services?

Data rules the world today, and data science services can be a true game-changer for any business. However, few business owners realize the potential and versatility of data science as a service. It’s regrettable, especially for SMBs and startups, which can benefit tremendously from the insight derived from big data.

Today we’ll try to remedy this situation and expand on the subject of why now is the time for data analytics. We’ll start by explaining how some basic data science consulting services can help businesses thrive in competitive and volatile markets.

Data Science Services Explained

Data science services: mining, processing, and data analytics

Data Mining, Processing & Visualization

The first among data analytics consulting services is data mining. Simply put, the team will find a way to extract all the information you require from any source. This type of service is highly versatile because the type of data that businesses need to process might vary considerably. For example, in one of our cases, data scientists had to develop a method and solution to extract patient information from multiple sources, including healthcare system records and even doctors’ handwritten notes.

Then, the collected data will be translated into some universal format and processed. Depending on the volume, the team might require substantial resources to complete these tasks. Using the help of NLP (Natural Language Processing) tools is quite common when processing and analyzing data.

Data science visualization services allow the client to get the data presented in a manner they can easily use for business. For example, an eCommerce business can get detailed reports on sales dynamics during a specific period. Based on this report, the client will be able to understand exactly how people choose to spend money on their website. Therefore, they will be able to come up with more efficient offers to boost sales.

Predictive Analytics, Forecasting, Risk Management & Optimization

Big Data analytics is a type of service that can benefit any business because it’s your way to get information about the market. Therefore, it enables you to make well-informed decisions that will provide better results.

Data science services allow you to use the tremendous storage of valuable insights that is the Big Data to make accurate predictions to build your business strategy. Predictive analytics works by building NLP models that analyze specific types of situations on the market, identify patterns, and make forecasts based on them.

Data science services that involve forecasting can provide a highly accurate future development model. For a business, such prediction can help reduce risks and prepare for those that are unavailable. In addition, predictive data analytics models can be used as a strong argument for investors.

Another way to implement data science services is to have the team provide an optimization plan for your business. Then, they will use a combination of data mining, processing, analysis, and forecasting to develop a set of custom-tailored recommendations for your business.

The best thing is that such recommendations are based on actual data and existing patterns. Therefore, your company won’t waste money on changes that won’t have a positive impact in the long run. When you rely on data science services, all results are based on hard evidence, so risks are minimal.

Data science services powered by AI: predictive modeling in data analytics.

NLP, Computer Vision, AI & Machine Learning

Are you wondering how exactly data scientists do the analytics and prediction part of their work? The answer is they use AI to assist them in these processes. The exact technology they use varies based on the task. For example, a data science team can build a very primitive NLP model to ‘mine’ information matching specific parameters from a particular database.

However, they can also use the same technology on a grander scale to build a more complicated model to analyze specific patterns, like market growth trends. Then, another model will process that data and make a forecast based on those patterns accounting for additional factors.

AI technologies are developing rapidly, and so are data science services. Therefore, the scope of insights you can derive from this service increases, giving you new business opportunities.

Another exciting type of AI-based service a data science team can offer is utilizing computer vision technology. Like NLP models derive information from textual data, computer vision extracts information from the visuals. The most common application for this tech now is the facial recognition feature used by multiple gadgets. However, on a larger scope, this technology can be used to prevent crime, analyze a stream of video footage, or monitor specific areas for emergencies.

What Businesses Need Data Science Services?

Applications of AI and data science services are endless. So, regardless of size, every business can benefit from using these services on any level. Therefore, the main factors to consider are your budget and goals.

First, determine what it is that you’d like to achieve at this stage. Do you want to cut costs? Optimize business processes to increase productivity? Enter a new market? Launch an innovative startup? Expand the capabilities of your existing product? Enhance your business strategy?

Once you’ve chosen one or several objectives, book a meeting to discuss data science consulting services. A team of experts will analyze your business and request and develop a list of services that will help achieve your goals.

Contact us and set up a free meeting today!

AI Speaks About How to Use an AI Chatbot for Business

Devtorim’s AI-powered platform Marquètte is getting better at generating interesting articles you can use for blogs and even for self-education. Today we used one of the new marketing templates to have AI share ideas on using an AI chatbot for business. Check out what it had to say below.

Ideas on How to Use an AI Chatbot for Business in AI’s Own Words

In today’s digital world, businesses increasingly turn to artificial intelligence (AI) chatbots to automate customer service and enhance customer engagement. AI chatbots have the potential to save time and money while providing a more personalized customer experience. In this blog post, we’ll explore how to use an AI chatbot for business, the benefits of using an AI chatbot, examples of successful AI chatbot implementations, challenges of using an AI chatbot, best practices for deploying an AI chatbot, and how to measure the success of an AI chatbot.

AI shares its ideas on how to use an AI chatbot for business today.

How to Use an AI Chatbot to Automate Customer Service

AI chatbots can be used to automate customer service tasks such as:

  • Answering frequently asked questions
  • Providing product information
  • Helping customers with their orders

They can also be used to respond quickly to customer inquiries and provide personalized recommendations based on customer data. By using an AI chatbot, businesses can save time and money while improving customer satisfaction.

Benefits of Using an AI Chatbot for Customer Engagement

AI chatbots can help businesses to provide personalized service. For example, they can answer customer questions 24/7 and provide automated support.

In addition, AI chatbots can collect customer data and improve customer engagement through targeted messages. AI chatbots can save time and money by automating everyday customer service tasks.

Examples of Successful Uses of an AI Chatbot

AI chatbots can be used for a variety of business needs. For instance, the Bank of America uses an AI chatbot to help customers with account inquiries and transactions.

There is also Sephora, a company that leverages AI to power an in-app virtual assistant that helps shoppers find the right products.

Moreover, Domino’s Pizza has created an AI chatbot to take orders and provide personalized recommendations.

Challenges of Using an AI Chatbot for Business

Implementing an AI chatbot for a business can be a challenging process. Designing, developing, and deploying a chatbot requires a lot of time and resources.

Additionally, businesses must consider the cost of hosting and managing the chatbot and other associated expenses. Finally, it may take some time before companies realize their chatbot’s full potential.

Should you use an AI chatbot for business?

Best Practices for Deploying a Chatbot

Deploying an AI chatbot can be a great way to improve customer service. However, it’s important to ensure that the chatbot is designed to meet the customer base’s needs and that it is properly integrated into the existing customer service infrastructure.

Moreover, providing customer service agents with the necessary training to manage conversations with the AI chatbot is crucial. Finally, you also need ways to monitor customer service interactions for quality assurance purposes.

How to Measure the Success of an AI Chatbot

Measuring the success of an AI chatbot depends on the goals you have set. For example, you can measure the number of interactions, user satisfaction and conversion rates, or time on task. Additionally, you can use surveys and feedback forms to gain insights into the user experience.

Final Thoughts: Should You Start Using an AI Chatbot for Business?

AI chatbots can be invaluable for businesses looking to automate customer service and improve customer engagement. While there are potential challenges in implementing an AI chatbot, with the right strategies and best practices in place, businesses can maximize the success of their chatbot. In addition, deploying an AI chatbot is a great way to increase customer satisfaction while reducing customer service costs.

So, those were thoughts directly from AI. What do you say? Do you agree with these opinions and ideas? Will you start using an AI chatbot for your own business?

If you are ready to take this step, set up a free meeting with our development team!

For more thoughts on AI also see:

 

Core UI Design Principles Every Client Should Know

As a client ordering any UX and UI design services, you need to understand that while personal views on aesthetics matter, designers must not rely on them alone. Professionals adhere to the core UI design principles to create a final product that’s both usable and attractive. Simply put, those principles exist to ensure that users love any solution or website you launch.

Keep reading to learn what those core principles are and some special secrets of the trade shared by Devtorium’s UX/UI design team.

Core UI Design Principles Explained

Focus on the User

The user must be the center point of all UX and UI design. It means that every step of the way designer’s first thought must be, ‘what will be most convenient for the user?’

A good interface doesn’t confuse or distract from the goal of the product. Essentially, all UI design principles focus on making the interface easy and pleasant for people to interact with. A person who opens the app for the first time must be able to find exactly what they need without any guides or additional training. Using it must feel natural, so having the user as a focus of the design is an absolute must.

Another critical factor is that the user must feel in control when using the app. Therefore, UX and UI design must be created in a way that’s easy to master fast. The user should feel confident in their ability to find and do what they need, so the interface must be intuitive.

Moreover, user-focused UI design must allow for mistakes. For example, it means that all actions must be reversible. In addition, any important steps must literally come with a warning.

Main UI design principles that make apps beautiful and functional.

Clarity

Clarity is one of the essential UI design principles today. Never forget that any interface’s purpose is to enable the user to interact with an app. Therefore, they must be able to clearly see what they need to do in order to achieve their goals.

Simply put, clarity of the interface determines whether people using your app are able to do this at all. Poorly designed UI makes it impossible for people to understand what your application does.

However, it’s also important to remember that no specific clarity standard exists. Actually, it will differ significantly depending on the purpose of the app. For example, if you are designing an eCommerce app for a large marketplace, you’ll have to include complicated catalogs with multiple categories and sub-categories. Meanwhile, a basic note-taking app will be much simpler and ‘clearer’. Therefore, as a client, you’ll need to work closely with the UI/UX design services team to create a clear and understandable interface for your target audience.

Consistency

Keep everything consistent! It’s not only one of the main UI design principles but the golden rule of design as a whole. Consistency makes your app more aesthetically pleasing and easier to use and understand. Also, it’s necessary for effective branding throughout all your channels.

In addition, you need to remember that not only your design must be consistent with the brand’s style. You also need to make it consistent with symbols and terms used in various real-life situations. For example, as an eCommerce business, you might want to stand out and make your shopping cart appear in some unique way, discarding the traditional cart or basket design and even renaming the feature.

If you are expecting the result to be that your clients will appreciate how unique your brand is, you will be bitterly disappointed. There might be a few who will genuinely appreciate it. However, most shoppers will simply leave your website fast because they couldn’t find the cart within a few seconds.

So, always remember to be clear and consistent in all your messages!

Ease opf navigation is one of core UI design principles.

Simplicity and Minimalism

Simplicity and minimalism go hand in hand with clarity as leading UI design principles today. Classics are there for a reason, and that reason is that they are recognizable, understandable, and work exceptionally well. So, use that power to create UX/UI design that truly appeals to your audience.

In our world of information overload, minimalism has become equivalent to clarity. So, whether you like the style personally or not, it’s imperative to use it for any app interface design. Otherwise, your product’s chances of success are slim.

Feedback

UX and UI design must be interactive in a way that it must provide feedback to the user. Your UI copy will be responsible for that. So, design extends beyond graphics. The quality of the UI/UX copywriter’s work is no less important for making your app easy to use and understand.

A good user interface will provide prompts and feedback for every action to help users make decisions and master the app.

Accessibility

We are building an inclusive world, so accessibility is one of the core UI design principles today. However, not everyone is the same, and it’s the designer’s job to account for all types of user differences. It’s hard work to research and create an interface that will be equally comfortable for different people.

Adaptable and flexible interfaces that the user can adjust to their preferences are the main future trend. Also, remember that accessibility requirements will differ depending on the type of user interface.

Bottom Line: Always Prioritize UI Design Principles

It’s true that design is a matter of personal taste and preference. However, if you want your software product to be successful, you must consider the main UX and UI design principles. This way, you can ensure that the app is easy to use.

Keep these principles in mind when choosing a UI design company. In fact, the designers you consider hiring must know and adhere to these principles in their work. So, be sure to discuss this during the interview.

Using AI for Sustainability: Technology for a Better Future

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.

Benefits of using AI for sustainability

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! 

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

Dangers of using AI for sustainability.

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.

Statistics of using AI for sustainability

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.

We shoule use AI for sustainability with better regulation.

cookie-image
cookie-image-mobile

Our website uses cookies

We use cookies and share information about your use of our site with our social media, advertising and analytics partners who may combine it with other information that you’ve provided them.