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Artificial Intelligence (AI).  

Create intelligent solutions that will propel your business’s development.

 

AI experts in an office

At DAC.digital, we believe in the power of artificial intelligence and the ability it brings to different aspects of everyday life and business. Artificial intelligence research and progress has gained momentum in recent years. As an artificial intelligence software development company, we are ready to help you take your business to the next level by using different research areas in this branch of computer science.

Our Areas of Expertise in Artificial Intelligence Development.

Optimization is one of the applications of AI where the benefits are immediately visible and measurable. Our team of experts with vast experience in working with emerging technologies can help you with a tailored optimization solution.

Explore these AI solutions below for inspiration, or if you have other idea, we’re here to help you bring it to life:

Multi-vehicle routing in  transportation sector

Planning for a fleet of vehicles is a process that maximises the revenue from the available resources but has to consider numerous constraints like the maximal permissible amount of working hours of drivers, different fuel and fees among countries, as well as the potential to take an additional parcel when the truck is not fully loaded. Automating this planning can benefit the company, ensuring both short- and long-term benefits.

Price optimisation in travelling sector

Travel agencies often have to find the golden mean between their margin and the client’s willingness to pay. An algorithm that considers historical data and the data retrieved in real time about the available offers could be used to maximise the margin dynamically, assuring at the same time that it won’t be lower than a certain threshold.

Energy demand-side load balancing

The interconnection of various energy consumers in a common grid raises the problem of limited energy efficiency of the providers, varying energy prices, and the limited storage capacity of local magazines. Therefore, an appropriate load balancing should be implemented to manage the demand-side energy allocation.

Planning And Scheduling.

Automated planning and scheduling processes can be beneficial for a range of projects. Good planning and scheduling systems can contribute to different business aspects, such as: improving efficiency, enhancing decision-making processes by deductive reasoning and other methods, real-time adaptability, resource optimisation, upscaling and downscaling, data-driven insights. You can use different types of planning and scheduling algorithms to achieve different results.

artificial intelligence experts
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There are several compelling reasons why investing in AI development is highly beneficial. Firstly, increased automation can significantly speed up and optimize processes, such as decision-making or assembly, while concurrently reducing operational costs. Furthermore, AI methods have the potential to enhance the accuracy and precision of specific tasks currently performed by human operators. Lastly, the ongoing development of AI methods yields unforeseen outcomes, and early adoption and research investment in this domain could mitigate the risk of falling behind competitors and gaining a competitive edge through novel intellectual property. quote icon

Marek Tatara, PhD
Marek Tatara, PhD Head of Science

Computer Vision.

Computer Vision is a branch of deep tech that adapts AI for multiple tasks and project stages. Here are exemplary technological problems in which we can help you:

Conversational AI

It’s widely used in chatbots on websites and as separate applications. Conversational AI can generate real-time responses and understand the user’s needs, based on keywords and static answers. One of the most prominent users of this type of AI involves customer care and social media management. Conversational AI can find its use in the following:

Human-like chatbots for customer care: can help handle complaints, provide general information about the company and status reports and integrate with external systems.

Salesbots: those bots can generate an offer for the client based on the project history and describe past projects in the desired category.

Virtual assistants: can help in everyday matters like ordering food or deliveries, making reservations and purchases, etc.

Real-time interpreting and translations: it can translate the textual information exchanged between different users in real-time, prepare text summarisation and reformulation if needed (e.g. summarise the main outcomes of the meeting; what was the main topic of a call).

AI chatbot

Speech AI

Speech AI enhances communication, enabling voice-controlled devices, real-time language translation, and accessibility for individuals with disabilities, fostering efficiency, convenience, and inclusivity in various applications.. It can be used for:

Speech enhancement:

could help you sound more professional and be more understandable. At the same time, it could also be used to understand better what the client is saying, especially when the sound quality could be better, or the client’s pronunciation is slightly lacking and difficult to understand.

Real-time meeting captioning: it could be implemented in conference rooms to take notes from a meeting and provide textual information to people remotely connected to a conference room, especially when the sound quality is poor.

Expressive voice bots for customer care: automated customer care is often repellent due to a strongly mechanical-sounding voice, and customers try to reach a human being. On the other hand, human-made recordings have limited capabilities in terms of cases which can be served. Therefore, a human-sounding voice bot could remedy the abovementioned issues, ensure a lower rejection rate at the beginning of the conversation, and efficiently unburden human operators.

Generative AI

It can produce realistic and seemingly original content. From short texts, poetry and books to artworks and other types of content. It can be helpful to create bulk items for companies that require a lot of graphic design or written content. It can be ideal for writing news articles, blog posts, and stories. Uses for generative AI include the following:

Automated multilanguage translations: a tool that can take a textual input and translate it automatically into multiple languages. This can be used to prepare human-like translations of entire websites, documents, or conversations with others, opening new business opportunities and reducing overall costs and timelines related to translations.

Personal design assistant: it can take as input text or sketch and propose designs that align with the provided guidelines. Can prepare alternative designs, fill in the missing parts of the image or remove specific objects from images.

Taking notes: extracting crucial information from long texts related to a specific subject as bullet points can serve as a time-saver and minimises the risk of overlooking important detail from emails, descriptions of products or meeting transcriptions.

Optimisation techniques

The choice of an optimisation method depends on the specific AI model, dataset, and optimisation goals. Here are some things you can achieve with artificial intelligence optimisation methods:
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Improved efficiency:

streamlining processes and resource allocation that improves efficiency in industries like manufacturing, logistics, and supply chain management, leading to reduction of waste and operational costs.

Enhanced performance:

enhancin the performance of machine learning algorithms and deep learning models, resulting in improved accuracy and faster convergence during training.

Opimised decision-making:

aiding in making informed decisions by helping to identify the best course of action in complex scenarios, such as financial portfolio management, asset allocation, and route planning.

Traffic management:

managing traffic flow, reducing congestion, and improving transportation infrastructure for shorter commute times and reduced fuel consumption.

Space exploration:

assisting in mission planning, trajectory optimization, and resource allocation for space exploration missions to improve the efficiency of space programs.

artificial inteligence project planning
Marcin Połulich
Marcin Połulich General Manager DAC.ai

Let’s Discuss Your Idea Further.

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Team of AI experts at work

Does OpenAI Take The Responsibility For ChatGPT Abuse?

Are you curious about the level of responsibility that OpenAI bears for ChatGPT misuse? Are you concerned about generative AI technology’s potential security and business consequences? Look no further!

Industries Where AI-powered Solutions Are Used

Medtech, Healthtech, Sport icon

MedTech, healthcare and sports

Marketing icon

Martech

Space & defense icon

Space

  • Satellite data analysis and processing
  • Edge computing
Robotics icon

Robotics

  • Autonomous vehicles and factories
Manufacturing icon

Manufacturing optimisation

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In my opinion, in the upcoming years there will be a switch to locally run models without the need to communicate by API to external ‘huge trained model provider’ like OpenAI. Every commercial and academic entity would like to host their own multipurpose models (probably on some kind of VPC (Virtual Private Cloud)) optionally entangled with local edge devices to do analytics. This will be motivated by mainly security aspects and would need advancements in model training and inference optimization process. quote icon

Michał Affek
Michał Affek Embedded Machine Learning Researcher

Our Team of Experts.

As a leading service provider of emerging technologies and artificial intelligence development company, DAC.digital’s team of experts is at the forefront of AI technology development and its business application. We follow a meticulous and systematic approach that makes the journey fruitful and productive for both parties.

Our clients interested in AI solutions can benefit from free discovery workshops conducted by our in-house experts. They also help identify and aid in creating appropriate solutions and roadmaps for achieving your technical goals.

Marek Tatara, PhD

Head of Science

Assistant Professor at Gdańsk University of Technology, AI/ML Expert at M5 Technology, Member of the Polish Society For Measurement, Automatic Control And Robotics. works on the company’s research agenda and works on the implementation of both EU-funded and commercial R&D projects from the field of Computer Vision, Machine Learning and Embedded Systems.

Stanisław Raczyński, PhD

Head of Research

A distinguished professional with an impressive track record of 17 years in ML/AI and audio DSP research and 23 years of engineering experience. He has actively contributed to various applied research projects, demonstrating his expertise in signal processing, natural language processing, machine learning, and robotics.

Jan
Glinko

Machine Learning Researcher

Graduated from the Faculty of Electronics, Telecommunications, and Informatics at the Gdansk University of Technology. He is interested in applying synthetic datasets for learning deep neural networks and in learning algorithms to reduce the amount of data required for effective network training.

Cezary
Polak

Machine Learning Researcher

Graduated from the Faculty of Electronics, Telecommunications, and Informatics at the Gdansk University of Technology. He is interested in using deep learning in biomedical engineering and generating synthetic data such as photos and texts

Artur
Skrzynecki

Machine Learning Researcher

Graduated from the Faculty of Electronics, Telecommunications, and Informatics at the Gdansk University of Technology. His areas of interest mainly focus on computer vision tasks, including biomedical data processing and deep neural network training and evaluation. Apart from that, he also enjoys web development topics

Krzysztof Wołk, PhD

NLP Scientist/Technical Project Coordinator

Natural Language Processing Expert with PhD in the field of Artificial Intelligence. Experienced in AI related project management. Constantly developing. Very interested in dialog systems, human computer interaction, multimedia and signal processing.

Michał Affek

Embedded Machine Learning Researcher

Currently enrolled in an industrial PhD programme at the Gdansk University of Technology. His main interests are remote sensing (processing done specifically on satellites), machine learning algorithms for edge devices, and parallel computing.

Michał Ostyk

Computer Vision Engineer

A Computer Vision Engineer with experience in agriculture, fast food, sports analytics, and healthcare. He loves researching SOTA and converting it into an MVP in Pytorch. However, he recently delved deeper into MLops.

Interesting figures and statistics about AI.

The global market size of AI, currently in 2022, is estimated to be USD 387.45 billion, and it is expected to grow by USD 1,394.30 billion by 2029. Nearly 2/3rd of companies are deploying AI solutions to have a competitive edge in the market.
%

20,1

CAGR
Compound annual growth in market size till 2029
$

15,7

trillion
The potential contribution of AI to the global economy by 2030
%

72

companies
using AI believe their work becomes easier

Our Solutions.

What’s The Difference Between
AI And ML?

It’s an important question to answer. Although artificial intelligence and machine learning are sometimes used as a synonym, in reality, ML is a part of AI. Artificial intelligence is a broad concept that entails creating intelligent machines that work based on human (or animal) behaviour, physical processes and, at times, dedicated algorithms.

Machine learning, on the other hand, means applying a specific type of AI or system (AI systems) that allows the machine to learn from the provided data without explicit programming. In other words, AI does not require pre-programming. It uses algorithms that work with their intelligence. Machine learning means acquiring knowledge through data.

 

In short, AI is a broad concept, and ML narrows it down to the specific needs of specific tasks. It uses a subset of AI, for example, automatically allowing a machine to learn from past structured and unstructured data.

Although some predictions say that artificial intelligence could function independently, it will require human intelligence to function and progress in the foreseeable future.

 

Indulge Yourself in the latest insights.

We’re professionals who are also endlessly curious tech enthusiasts. See our recent blog posts related to research and the use of AI about the trends and artificial intelligence for software engineering.

Trust us to guide you through your next AI project.

Are you working on a research project and would need some automation? Or maybe you’ve already done the research and are looking for a team of experts to aid in creating that perfect solution. We’re here to help. Please tell us what you need, and we’ll see how we can help you achieve your goals and clarify the process.

Let’s connect!

Send us an e-mail: [email protected]