AI & ML or Artificial Intelligence and Machine Learning

Artificial intelligence is a field of computer science that deals with the creation of computer systems and programs capable of making decisions in the likeness of a human. Machine learning, on the other hand, is a branch of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance.

What is Artificial Intelligence and Machine Learning?

Artificial intelligence (AI) is a branch of computer science that deals with the creation of computer programs and systems capable of performing tasks that typically require human thinking and intelligence. AI is powered by algorithms and mathematical models that allow computers to learn, understand, infer, plan and make decisions.

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AI can analyze content on websites and suggest optimizations that will improve visibility in search results. This helps in creating more user-friendly and search engine-friendly content. It also helps in analyzing huge amounts of data, which is crucial in understanding user behavior and effective SEO strategy decision making. ML is a subfield of AI that focuses on creating algorithms and models that enable computers to learn from data. Machines learn to recognize patterns and make decisions based on the analysis of training data.

The main advantages of using AI & ML

Automation of Tasks and Processes

One of the main advantages of AI and ML in IT projects is the ability to automate many tasks and processes. AI algorithms can be used to solve repetitive tasks such as data analysis, software testing or asset management, saving time and human resources.

Effective Data Analysis

AI and ML are invaluable in analyzing big data, which is a common challenge in IT projects. Using advanced algorithms, you can identify patterns, trends and dependencies in your data, which allows you to better understand problems and make more accurate decisions.

Predictive Decision Support

With machine learning algorithms, predictive models can be developed to help predict future events and trends. In IT projects, this can mean better resource management, project planning or identifying potential problems in advance.

Cybersecurity and Threat Detection

AI and ML are effective in detecting anomalies and threats in information systems. They can monitor network traffic, analyze logs and identify irregularities, which helps protect IT projects from hacker attacks and security incidents.

Personalization and Customer Service

In IT projects, especially in the development of software or online platforms, AI and ML can adapt content and interactions to the individual needs of users. This increases the satisfaction of customers and users and affects the efficiency of projects.

Automated Software Testing and Verification

AI and ML can be used to automatically test and verify software. They build models that are able to predict errors and code issues, allowing for faster detection and fixing of defects. This speeds up the processes of implementing new features and updates in an IT project.

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  • If you only know the need or problem to be addressed by the software, are you able to help?

    Our primary goal is not so much to provide software, but to actually address the needs and solve problems of our customers. Before we start creating a vision of the software's functionality together, we will conduct a deep analysis to reveal the needs. We will then prioritize them based on business values. We will also look for paths to optimize the operation of your business processes, not only from the perspective of the software itself.

  • I am afraid of problems when creating software resulting from my lack of substantive knowledge about this process. Is it right?

    For us, the key value in working with non-technology-savvy clients is to bring them as close to technology as possible. That's why we devote a lot of time and attention to carefully explaining each stage of the software development process. We also provide advice so that design decisions are fully conscious and based on understandable values.

  • I don't know how to manage the budget for software development. What to do?

    Many clients are afraid of disclosing the budget at the early stage of the project, believing that it will negatively affect the valuation of the project. This is the most common mistake and cause of frustration in the software development process. Really defining the budget allows you to look at functional needs from many perspectives. Being aware of the limited budget, we can look for more economical solutions that may not be fully satisfactory, but at this stage they will address the needs and will be sufficient. As the business value of the entire project increases, these areas may be developed, but this does not have to happen immediately. There are several proven solutions that allow for controlled budget management - we will present them and help you with this task as soon as we get to know each other.

  • Will software development using the agile methodology cause delays, blurred goals and increased costs?

    This is one of the most common concerns that arises at the early stage of talks about implementing a new project. In short: no. An agile approach to a project does not preclude setting clear goals and points on the timeline that are to be achieved. However, frequent and small design iterations allow you to obtain the desired functionalities faster with a reduced budget. The combination of lean development with continuous validation of requirements and assumptions perfectly verifies the previous needs analysis. In fact, the analysis progresses with the development of the project and naturally optimizes its scope by limiting unnecessary steps.

  • How do I know if you are technologically capable of working on my project?

    If our portfolio is not enough of an argument, we will be happy to present technological possibilities and talk about the challenges we have encountered over the years of working on other projects and how we found solutions to seemingly unsolvable problems.

  • What should our communication look like during the project?

    In communication with clients, we focus primarily on honesty, openness and transparency. This allows you to avoid understatements while building lasting, mutual trust.

  • How can we manage the project schedule so that it doesn't stretch over time?

    We look at each project on two scales - micro and macro. On a macro scale, we define milestones for modules and functional areas that we want to achieve in specific order and points on the project timeline. On a micro scale, we manage tasks in iterations no longer than 2 weeks, so we have full control over the implementation stage and can dynamically respond to emerging threats by e.g. increasing internal resources.

  • What if my users don't want to use the software we created together, or don't do it as intended?

    Implementation is not the last stage of the software development cycle at aveneo. We help with user training and training. We are the best partner for this because we know all the design assumptions and full mechanics of the delivered solution. This will guarantee satisfaction and understanding of the solution, and will also allow you to collect conclusions from users regarding potential optimizations and new functionalities.

  • How to reconcile the many different roles of software users without internal contradictions?

    For large projects, it is difficult to bring all stakeholders together at every meeting. It is completely natural for different departments to have mutually exclusive expectations. Our role is to collect all the needs and design a solution that will take into account all business processes and reconcile those that stand in opposition to each other into a coherent and logical whole.

  • I have serious concerns about whether the project will ultimately succeed. How to deal with it?

    This is completely normal! Every investment carries some risk. Depending on the source of the concern, additional levels of security should be implemented. For our part, we will try to find tools that will help you get rid of stress and guarantee the success of the project. For example, if concerns concern the functional scope, we suggest identifying the most valuable functionalities and building a small section of the software, and then validating the assumptions and checking in a real environment whether the solution is satisfactory.