/Automate retail data onboarding, quality checks, and business access with AI agents
Webinar "AI-Powered Retail Pipelines" starts in:
* This content is available free via the registration form with marketing communications, or through paid access without marketing messages. More information here.
/Automate retail data onboarding, quality checks, and business access with AI agents
Webinar "AI-Powered Retail Pipelines" starts in:
* This content is available free via the registration form with marketing communications, or through paid access without marketing messages. More information here.
/Understand how AI agents transform retail data operations - reducing onboarding time, improving data quality, and giving business users direct access to insights.
Join us for a live demonstration using real retail data.
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/Three persistent gaps, none of them about data
Retail organizations continue to invest heavily in data platforms, yet many still face persistent challenges: slow onboarding of new data sources, recurring data quality issues, and limited access to insights for business users.
These challenges are not the result of insufficient data, but of operational complexity across the data pipeline.
In this webinar, we will present a practical approach to addressing these issues using AI agents that automate key stages of the data lifecycle, from ingestion to consumption.
/Three modules
All live, all on real retail data
The session is based on live scenarios, not theoretical concepts. All use cases will be presented on real retail datasets. We will demonstrate:
01
Rapid data onboarding
integrating new data sources in minutes rather than days.
02
Automated data quality management
continuously detecting and resolving data issues without manual intervention.
03
Direct business access to data
enabling users to query data pipelines using natural language, without SQL.
/Three modules
All live, all on real retail data
The session is based on live scenarios, not theoretical concepts. All use cases will be presented on real retail datasets. We will demonstrate:
01
Rapid data onboarding
integrating new data sources in minutes rather than days.
02
Automated data quality management
continuously detecting and resolving data issues without manual intervention.
03
Direct business access to data
enabling users to query data pipelines using natural language, without SQL.
/Outcomes that compound in every quarter
Adopting AI-driven data pipelines can directly address common operational and strategic challenges:
-
Reduced time-to-insight across business functions.
-
Scalable data operations without proportional cost increases.
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Improved consistency and reliability of data.
-
Increased accessibility of data for non-technical users.
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Reduced pressure on data engineering teams, freeing capacity for higher-value work
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/Built for the people accountable for the data their business runs on
/Built for the people accountable for the data their business runs on
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/Meet Our Speaker
Bartosz Chojnacki
AI Practice Leader, DS Stream
Leader of the AI Practice at DS Stream, where he helps retail and FMCG organizations build data platforms powered by AI agents. He specializes in translating complex data challenges into practical, production-ready solutions.
Bartosz is also a certified AI trainer and course creator, and is currently advancing his leadership expertise through the Stanford LEAD Program at Stanford Graduate School of Business.
/Meet Our Speaker
Bartosz Chojnacki
AI Practice Leader, DS Stream
Leader of the AI Practice at DS Stream, where he helps retail and FMCG organizations build data platforms powered by AI agents. He specializes in translating complex data challenges into practical, production-ready solutions.
Bartosz is also a certified AI trainer and course creator, and is currently advancing his leadership expertise through the Stanford LEAD Program at Stanford Graduate School of Business.
/Many data platforms still rely on manual processes for onboarding, validation, and data access. As a result, teams face delays, higher operational overhead, and continued dependence on technical resources.
In this session, we will demonstrate a different operating model. AI agents work across the data pipeline to automate ingestion, continuously monitor data quality, and enable direct interaction with data through natural language.
This reduces operational friction while keeping data accurate, accessible, and aligned with business needs, without adding unnecessary complexity. All capabilities will be demonstrated live on real retail data.
/Remove the bottlenecks. Accelerate the decisions
Explore how to remove bottlenecks from your data operations and enable faster, more reliable decision-making.
DATE
June 10, 2026 | 15:00 CEST
LENGTH
45 min
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