From AI history and use cases to practical implementation: A brief recap of Yalantis’ offline AI and ML event

On June 13, 2023, Yalantis hosted a knowledge-sharing event in Warsaw, Poland, to discuss the latest AI and ML technologies. More than 70 attendees listened to four top-notch speakers from Yalantis. Let’s look at a quick overview of each presentation.

Denys Doronin, our Chief Technology Officer, covered a brief history of AI and ML evolution and how each type of business can benefit from implementing AI and ML. Given a limited number of resources, small businesses can benefit from launching a niche AI solution to win the market. Midsize businesses may already have many interconnected systems and lots of data sets, and they can use AI/ML for scaling. Large enterprises, in turn, can use AI/ML to improve their operations at the departmental level.

In his interactive presentation, Serhii Zhuravel, our Director of Engineering, explained that ML comprises algorithms fed with structured data to perform tasks that aren’t rule-based with much higher accuracy than humans. Serhii also pointed out that when working on ML projects, we first need to clearly define the problem to solve. Only then can we integrate a suitable ML model, refine it if the initial solution was incorrect, and monitor the model for consistently correct results (machine learning use case examples).

The next speaker was Maksym Moskvychev, our Head of Architecture Design Office. Maksym’s speech focused on a Yalantis ML project. With the help of ChatGPT, Yalantis built a website chatbot for prospective clients and a Slack chatbot to help the sales team quickly find relevant case studies and articles. Maksym’s team needed to define which components to develop from scratch and which existing solutions could be used. To deliver optimal products, the team used The Open Group Architecture Framework (TOGAF) approach and architectural tradeoff analysis.

Denys Hukov, our Program and Delivery Manager, discussed the benefits and opportunities of adopting AI and ML in the IoT domain. Key benefits range from processing large data sets that numerous IoT devices generate in real time to efficiently detecting operational anomalies and enhancing predictive maintenance. Denys also covered a few success stories of IoT companies implementing AI, such as the Polish company Bin-e, which offers smart AI-based waste bins; and Google’s Waymo Via project, which provides self-driving trucks.

Stay tuned for more upcoming online and offline events from the Yalantis team on technology and business topics. You can learn about new events on our company’s social media pages, including on LinkedIn.