How to Build Effective Machine Learning Solutions in 3 Steps
Michał Hakenberg
Data / AI
Data is a key resource for any organization—you don’t have to be a large enterprise to generate hundreds of gigabytes per month. But for it to provide a sound foundation for strategic decision-making and innovations, a proper strategy is essential.
Working with or simply processing data involves several key stages—from sourcing and storing through standardizing and validating to mining and analyzing. It also involves translating analytical results into business processes, monitoring accuracy, and optimizing data. The overarching stage of the whole process that enables you to use data effectively is ensuring its security and compliance with regulations.
Building a data-driven organization requires technology, knowledge, and experience. With the support of OChK experts, you will understand every step of the process, and you will also learn which data is worth working with and how to ensure that your strategy brings the greatest benefits. Finally, depending on your objective, we will jointly build and choose appropriate solutions based on Big Data and advanced AI algorithms.
Who is it for?
Regardless of the industry you operate in and the size of your organization, you probably already have data from which you can draw valuable conclusions.
Use Big Data and AI tools if you want to:
automatically collect and analyze huge, distributed data sets,
manage and secure them better, thus meeting the requirements for their protection,
identify hidden patterns and predict future trends, which can translate into the right decisions,
discover how to generate additional revenues and savings,
better understand the market and your customers, and also improve internal processes.
Types of solutions
We work with tools available in Google Cloud and Microsoft Azure, or we combine the advantages of both public cloud and on-premise infrastructure for building hybrid solutions.
Data Lakehouse
Data lakehouse is an integrated platform that combines the features of a data warehouse and a data lake. It addresses the limitations of traditional data warehouses and the growing demand for analyzing data in different formats, enabling the storage of both structured and unstructured data in a single environment.
Data lakehouse solutions allow you to gain a comprehensive picture of the organization's operations, supporting data analytics in various areas—from traditional reporting to training AI models. They also reduce infrastructure costs, simplify data architecture, and enable advanced real-time analysis on huge volumes of data.
MLOps
MLOps (Machine Learning Operations) are key to scaling and maintaining AI/ML solutions in production environments. Built from the need to manage the lifecycle of machine learning models, the MLOps platform combines DevOps practices with machine learning, enabling the construction of diverse analytical models as well as their effective deployment and lifecycle monitoring.
Use the MLOps platform to give your organization greater control over the process of deploying and improving models, as well as minimizing the risk of production errors. This, in turn, will translate into better business results and increased operational efficiency.
Business Intelligence
Business Intelligence (BI) has been a key element of a data management strategy for years. Modern BI tools have evolved to integrate advanced technologies such as AI and Big Data, enabling even deeper data exploration through visualization and reporting.
Business Intelligence solutions offer your company a wide range of capabilities, including easier data interpretation and identification of key trends.
The key benefit is, above all, precise reporting that supports strategic decision-making.
GenAI
Generative AI has dominated the market since the emergence of ChatGPT, introducing new opportunities in the area of analytics and task automation. Solutions built on its basis, e.g., chatbots, generate content based on existing data, enabling the creation of texts and graphics, information synthesis, anomaly detection, document analysis, sentiment or trend prediction.
GenAI is the foundation for scalable AI solutions, enabling the transformation of raw data into valuable business insights. It streamlines processes, increases operational efficiency, and reduces operating costs through the automation of business processes.
Building a data-driven organization in practice
Read more on our blog
Billing model
Individual valuation based on the scale of the project and the technologies used.