Digitalisation of Poland 2035 – A Strategy to Shape the Future

The modern world positions digitalisation as a cornerstone of development. Poland aims to join the ranks of leading countries that utilise digital technologies to enhance economic competitiveness, security, and the quality of life for its citizens. The strategy outlines comprehensive actions to impact nearly every aspect of the state and society, from public administration to education and advanced technologies such as artificial intelligence (AI).

Digitalisation as a National Priority

Deputy Prime Minister and Minister of Digital Affairs Krzysztof Gawkowski has presented Poland’s digital transformation plan, set to be implemented by 2035. This is the first such comprehensive document in the country’s history, designed to improve citizens’ quality of life through extensive digitalisation efforts. The document has been submitted for public consultation, already sparking significant discussions and interest.

Key Elements of the Strategy

The Digitalisation Strategy for Poland 2035 focuses on eliminating silos through full integration of administrative systems to increase efficiency and reduce costs. Investments in ICT specialists’ skills and the strengthening of organisational structures underscore the vital role of people and organisations in the digital transformation process.

A significant aspect of the strategy is digital security, encompassing data protection, cybersecurity, and the responsible use of artificial intelligence. Simultaneously, it emphasises fair transformation, taking into account workers’ rights, environmental protection, and support for individuals whose jobs may be threatened by technological advancements. Ensuring full accessibility of e-services is a priority, with plans to make all essential public services available online, including through the mObywatel app.

Goals for 2035:

• 20 million Poles using a digital identity wallet
• Complete digitalisation of public administration, enabling 100% of matters to be handled electronically
• 85% of citizens possessing basic digital skills
• Artificial intelligence in healthcare, supporting the diagnosis of 100 different diseases
• AI adoption in business, with at least 50% of companies utilising AI technologies in daily operations

The Importance of Digitalisation for Poland’s Economy

Digitalisation plays a key role as a driver of economic growth in Poland. According to the McKinsey & Company report, “Poland as a Digital Challenger,” the digital sector has the potential to contribute an additional €78 billion (approximately PLN 338 billion) to Poland’s GDP by 2030, representing 9% of the country’s current GDP.

Moreover, companies with a high level of digitalisation tend to exhibit 20% higher productivity than their traditional counterparts. This underscores the strategic importance of investing in digital technologies for Poland’s economic future. ICT (information and communication technologies) could account for 75% of the growth in Poland’s digital economy by 2030.

Barriers and Challenges to Digitalisation

A significant challenge of the Poland 2035 Digitalisation Strategy is the low level of investment in digital technologies and artificial intelligence. Poland invests approximately ten times less in AI than Western European countries such as Germany and France.

Additionally, the shortage of ICT specialists significantly hampers the pace of digital transformation. By 2035, Poland will require 1.5 million experts in this field.

Regional disparities further impact the pace of digitalisation. Rural areas and smaller towns often lack sufficient access to broadband internet and modern technologies, hindering the development and accessibility of digital services for residents in these regions.

Solutions for Successful Digitalisation:

• Increasing public and private investments – by intensifying spending on digital infrastructure, education, and advanced technologies such as AI, 5G, and space technologies.
• Public-private collaboration – fostering partnerships for the effective implementation of digital projects and enhancing the transfer of knowledge and technology.
• Promoting innovation and technological education – supporting startups, research and development initiatives, and enhancing digital competencies across society.

How Algolytics Supports the Digitalisation Strategy

Algolytics, a leader in data analysis and business process automation, offers tailored solutions to support the digitalisation strategy:

AI Solutions – Algolytics provides a technological platform that enables the use of predictive and prescriptive analytics models, facilitating their automatic creation and effective management. These solutions support various sectors, including finance, telecommunications, e-commerce, and logistics, across key business areas such as:

• Automated credit risk assessment – The platform enables the creation and implementation of scoring models, helping banks and lending companies make faster and more accurate creditworthiness evaluations. Real-time analysis minimises financial risk and accelerates decision-making processes. Case studies from Novalend and PGE highlight the role of automation in enhancing business operations.
• Fraud detection and prevention – Data analysis models detect anomalies and patterns indicative of potential fraud. By leveraging AI and integrating diverse data sources, companies effectively minimise risks such as credit fraud and unauthorised transactions, enhancing operational security. At Minte.ai, a company automating medical claims processing, the development of a module analysing scanned medical documentation reduced claims handling costs by 50% through minimising the need for medical expertise.
• Preventing customer churn – Tools for data analysis predict customer churn and develop preventive measures. Companies can boost retention by offering dynamically tailored solutions and loyalty programmes.
• Personalisation and sales optimisation – In the e-commerce and telecommunications sectors, the platform supports customer behaviour analysis to personalise offers and provide dynamic sales recommendations (cross-sell and up-sell). This significantly increases conversion rates and customer satisfaction, as demonstrated by Rynek Pierwotny, where offer personalisation led to improved sales results.
• Customer Intelligence – Segmentation and propensity models help target marketing efforts more precisely. The solution supports lead generation and prioritisation (marketing automation, RTB), enhancing sales process efficiency.
• Data Quality & Location Intelligence – Automating processes like data cleansing, standardisation, and enrichment helps companies improve data quality essential for AI implementation. Additionally, unique spatial variables can be created for machine learning models that optimise marketing and sales strategies. Examples include Bonprix and DHL, which illustrate how spatial analytics and data quality improvements drive marketing efficiency and streamline sales processes.

Process Planning Optimisation – Comprehensive and regularly updated spatial and address databases from Algolytics enable:

• More efficient planning and implementation of infrastructure investments
• Better utilisation of public funds
• More effective risk management in preventive actions

Algolytics’ reference database integrates and harmonises diverse data sources, delivering comprehensive information crucial for analysis and decision-making. This includes data from GUS TERYT, GUGIK PRG, PESEL, GUS REGON, and many other sources, including:

• Geographical and spatial data: GUGIK NMT, OpenStreetMap (OSM), GUGIK BDOT10k, Copernicus, EIPA, IBL
• Demographic and administrative data: PNA registry, GUS BDL, Portal Emp@tia, medical registers, RSPO
• Infrastructure and security: State Fire Service, National Police Headquarters (KGP SEWIK), SEVESO, Information System for Broadband Internet Access
• Environmental and climate data: Wody Polskie, EFFIS, National Database of Greenhouse Gas Emissions, PRTR, GIOŚ
• Construction and investment data: GUNB, PIG, KB

This process is powered by proprietary geocoding and standardisation mechanisms, achieving 99% accuracy. Harmonising information from various data sources and regular updates ensures reliability and precision in advanced spatial analyses.

👉 See how precise address data helped the Institute of Territorial Development in Wrocław effectively plan regional growth.

AI solutions from Algolytics enable companies to optimise processes, improve data quality, and increase sales and marketing efficiency. The platform facilitates effective data management tailored to the needs of various industries.