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Trusted Data. Real Impact.

PwC Poland Cloud & Digital hub

In today’s rapidly evolving AI landscape, it’s data strategy and governance that determine the true success of AI initiatives. Only high-quality, well-governed data can build trust, enable scaling, and unlock new business opportunities. On this page, you’ll find a series of videos where PwC experts demonstrate how a practical approach to data and a culture of experimentation translate into real business value. Discover how to connect strategy, people, and technology so that AI becomes a true engine of growth for your organization. Over the next few weeks, new content will continue to appear regularly — both video episodes and expert articles — to help you stay up to date and inspired.

Data with direction, AI with purpose, so business can be done better

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Identifying business value

Capturing business use cases

Enabling Strategic Initiative

Building solid data foundations

Identifying business value

In this short Point of View Paweł sets the scene by raising the question - How can solid data foundations enable GenAI to drive business value?

79%

of executives see AI as critical to their success

AI is critical but the consensus is that it fail without good quality data because AI is only as powerful as the data and structure that support it. Source: Gartner, 2023.

Ernest explains how do start the implementation of a new technology like Gen AI and how do you make sure it truly delivers the business value.

30%

Gartner predicts that 30% of all Generative AI projects will be dropped after the proof-of-concept stage by the end of 2025.

Capturing business use cases

Michael elaborates on the importance of driving business value as the foremost objective in theadoption of a new technology.

47%

CIOs are struggling to meet ROI

To drive business value, the adoption of AI as a strategic initiative should ultimately focus on specific business use cases that deliver tangible benefits, such as increasing market share, increasing revenue, and reducing costs, to name a few. Source: PwC UK 2024.

Natalia emphasizes that scaling GenAI beyond proof of concept starts with quality data, strong governance, and cross-functional teams - aligning strategy, roles, and metadata to close the AI trust gap.

33%

Our latest report shows nearly half of C-level executives expect higher profits from AI in the next year, yet only 33% trust AI.

Michael presents a simple model showing the interaction between key business use cases, key business processes and core data components necessary to enable GenAI to drive business value

Start with a strategic review and build core data components to unlock GenAI’s full value across your business.

Wiktor explains how strategic initiatives drive real business value through practical use cases.

Software can be a company’s greatest advantage—what if you could boost development efficiency by over 10x without losing quality?

Enabling Strategic Initiative

Adam provides an example of how Strategic Initiatives drive transformation in Consumer Goods, Retail, and Manufacturing sectors.

75%

of companies we have surveyed have started investing in AI – but few have advanced into creating production applications.

A well-defined Data Strategy turns big ideas into real business value, mitigating the risk of failing to meet original transformation goals and ensuring the expected ROI from strategic initiatives.

Building solid data foundations

Alicja reflects on the foundational role of data governance in enabling AI to deliver real business value. She emphasizes that successful data migration is not just technical execution, but a strategic transformation of fragmented data into unified, AI-ready assets.

In data migration, governance ensures consistency, traceability, and usability across fragmented sources. Without it, AI models risk learning from flawed inputs. Clean, structured data — enabled by governance — is what transforms raw information into reliable, value-driving assets.

Wojciech explores how a solid data strategy and governance framework, supported by cloud technologies, enables AI to deliver tangible business value through scalable, secure, and intelligent data platforms.

Drawing on over 20 years of experience in security and cloud architecture, this highlights how data foundations—powered by Azure, GCP, and AWS—enable AI use cases such as anomaly detection, synthetic data generation, and intelligent software development, all driven by a culture of innovation and strong governance.

Mirosław demonstrates how building strong data foundations is critical for successful digital transformation and AI adoption.

80%

Nearly 80% of companies attempting to adopt Data Mesh architecture fail in the early stages due to lack of expertise, infrastructure, and data quality

Michael provides an overiew of core data components as part of the solid data foundations with a focus on Data Governance, Master Data Management and Data Quality.

50%

of Master Data Management programs fail to meet business expectations due to complexity and lack of governance.

Source: Gartner, 2023.

Mariusz shows how ‘freedom in the box’ enables secure, efficient cloud adoption—balancing compliance with speed through Landing Zones, approved services, and automation.

The way to implement data solutions without risk is to build on strong foundations, balance control with trust, and apply standards, templates, and automation—creating a safe environment where teams can innovate and deliver value.

Discover our video series

Contact us

Mariusz Chudy

Partner, PwC Poland

Tel: + 48 502 996 481

Paweł Kaczmarek

Director, PwC Poland

Tel: +48 509 287 983

Michael Norejko

Senior Manager, PwC Poland

Tel: +48 519 504 686

Mariusz Strzelecki

Senior Manager, PwC Poland

Tel: +48 519 505 634

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