One-of-a-kind Job Fairs with offers for different types/classes of specialists of Data and AI technologies.
It’s one of the largest conferences dedicated to Data and AI. Attend 5 technical presentations about Salesforcethis technology.
Meet a new company in Poland that is a leading Data and AI employer.
The best speakers of the Polish IT scene. Learn their methods for success in IT!
Which platform, when, and why — answered by someone who has lived both sides. From the inside: whitepapers, benchmarks, and years as a Databricks WW SME who introduced the platform to enterprises where it became their analytics core — and then as the Principal Product Manager at Microsoft who helped build Fabric from within, shaping its data engineering and Spark architecture and capabilities. This is the decision framework you won't find in the docs, because it hasn't been published yet.
Frontier models now write code, draft strategy, and answer customers — fast and
fluent. They already excel at the tasks themselves. IQ has been commoditised. The output is
cheap; the pace is relentless.
So why do most AI initiatives still underperform — and why are they so brutally hard to
scope, estimate, and manage? Why does shipping feel faster and exhausting at the same
time? Why are teams burning out next to tools that were supposed to save them?
A field report from inside an ongoing AI transformation — and an argument that in the age of
cheap intelligence and infinite pace, wisdom and experience aren't legacy assets. They
might be the only moat left.
Modern data platforms can produce results that look correct and still fail the business. In this session, I will show why data correctness is much more than successful pipeline runs, matching row counts, or syntactically valid SQL.
Using practical examples from modern analytics platforms, I will explain where correctness breaks in real projects: non-deterministic transformations, duplicated processing, late-arriving data, flawed merge logic, reconciliation gaps, and hidden assumptions in migration and lineage work.
This is a deeply technical session focused on engineering reality rather than marketing promises. Attendees will leave with a practical framework for designing data processes that are deterministic, testable, auditable, and trustworthy.
Dr. Estera Kot is CTO at Clouds on Mars, former Microsoft Principal Product Manager and Architect (Synapse, Microsoft Fabric), and Azure Databricks WW SME. She holds a Ph.D. in Computer Science from Warsaw University of Technology and lectures at institutions including UCLA.
Hubert has been a BI Practice Lead at Cogit since 2007. He helps clients collect data and transform it into valuable insights using Microsoft Data Platform technology. Hubert manages two UG groups: Data Community Poland (Warsaw Chapter) and the Warsaw Power BI User Group. In his free time, he teaches DataViz at two universities.
Experienced Senior Manager and Digital Transformation Leader working over a decade in various sectors with an unique blend of IT skills and experience.
Adam Klukowski is Chief AI R&D Officer at Locon (Bezpieczna Rodzina), leading company-wide AI transformation across the organisation — from customer success and call center to logistics, e-commerce, and engineering. Previously Director of Engineering at Yosh.ai (Google Cloud Partner of the Year), where he shipped LLM-powered virtual assistants for retail and contact centers. Twenty years in software and infrastructure, from Lufthansa Systems and Ensono through Applica.ai (now part of Snowflake) and GE Aviation. Google Cloud Professional Expert. Builds AI systems and the teams that survive them.
As a Consultant at Cogit, I specialize in designing and implementing comprehensive solutions in the areas of business intelligence, data warehousing, and integration processes. My career path has focused on data analytics and its strategic use in decision-making processes from the outset. Currently, I am working on projects for key business partners, responsible for the modeling and development of dedicated applications.
Soon.
Henrik or „Jarlen” as he typically goes by has been all over tech since ’06 with experience in Frontline, Sales, Security and Operations. Recently he ran a Copilot proof of concept and is currently picking apart LLMs to see what makes them tick while running small- and large-scale technical projects related to workplace technologies at BEC Financial Technologies.
Experience:
Salesforce Developer at Enxoo since Aug 2022
Responsibilities include designing cloud and mobile applications on the Salesforce platform, integrating with other systems, and project documentation.
Education:
Bachelor’s in Computer Science from Polish-Japanese Academy of Information Technology
Certifications:
OmniStudio Developer certified by Salesforce
Business Acumen – Simulation CELEMI Apples & Oranges™
Skills:
Proficiency in Apex, Visualforce, and Lightning Components development
Strong understanding of Salesforce architecture and data modeling