On-demand conference

Data governance trends:
Turn your data into an asset

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What will you gain from this conference?

As the amount of processed data keeps increasing, companies across industries are looking into data governance to improve their data management, boost security and enhance decision-making. Watch recordings from this conference to gain data governance insights from experienced data and AI experts from Microsoft and Software Mind and learn how to use innovative solutions to turn your data into an asset. By registering, you’ll also get a special invitation to a free data health check session where you’ll receive recommendations for improving your data environment.

Explore data analytics trends

Find out how to manage data and AI solutions

Discover Microsoft Fabric use cases

Watch lectures from industry experts

Access conference presentations

What presentations will you get access to?

The new era of data warehouses: How to replace traditional solutions

 

How is Microsoft Fabric revolutionizing data warehouses? This session will explain why companies need to consider moving away from legacy systems and migrating to this modern platform. Find out how key Microsoft Fabric components work and streamline data analytics in practice. You’ll also hear about real experiences with migrating to this solution. This session is particularly recommended for data architects, business analysts and IT decision makers interested in cloud-based data management.

 

Speaker:
Aleksandra Falkus, Senior Data & AI Architect, Software Mind

Data quality management as the key to effective AI solutions

 

This presentation focuses on the direct impact of data quality on the success of AI projects. It covers the key challenges and risks resulting from using unprepared data in AI-based solutions and explains practical strategies for improving data quality. Learn how to effectively manage your data to increase return on AI investments, maximize the value of your AI initiatives and stay ahead of your competitors.

 

Speaker:
Daniel Pisarek, Data & AI Architect, Software Mind

Modern data ecosystems in the era of AI: Trends and challenges for 2025

 

Find out what a modern data ecosystem looks like in the era of AI and how it directly impacts organizations and their success. This session covers key trends and challenges related to integrating AI with existing data management systems. It involves case studies that illustrate how the right approach to data results in tangible business advantages. Explore current analytics trends that influence business strategies and learn how effective AI-enhanced data management can drive innovation in your company.

 

Speakers:
Radosław Łebkowski, Cloud Solutions Architect, Data & AI, Microsoft

Panel discussion: Predictive analytics driven by standardized data – New opportunities for growing companies

 

In this panel, data analytics and cloud computing experts will discuss the transformation of traditional data warehouses, while sharing their experiences and observations about platforms like Databricks, Microsoft Fabric and Snowflake and their impact on business analysis. You’ll also learn more about opportunities offered by modern solutions, migration challenges and practical use cases in various industries. This discussion will help expand your knowledge about the latest data technology trends and their impact on business strategies.

 

Moderator:
Aleksandra Falkus, Senior Data & AI Architect, Software Mind

 

Speakers:
Ali Adil, Partner Solution Sales Data & AI, Microsoft
Estera Kot, Principal Product Manager, Microsoft
Damian Mazurek, Chief Innovation Officer, Software Mind
Piotr Szymczak, Cloud AI Engineer, Software Mind
Doug Gray, Data Science Director, Walmart Global Tech

 

Speakers

Ali Adil

Partner Solution Sales Data & AI at Microsoft

With over 14 years’ experience in sales, business development and entrepreneurship, Ali works with Microsoft Global partners to align strategies for their growth and market trends, while ensuring they’re fully equipped to support their customers in their cloud and innovation journeys. His professional interests revolve around innovation, data and AI, with a focus on data and AI governance and correctly applying AI to make the future brighter. Ali also helps startups and ISVs to grow their business and technology with Microsoft and guide their roadmaps towards geo expansion.

Aleksandra Falkus

Senior Data & AI Architect at Software Mind

Experienced in Microsoft Azure and Google Cloud platforms, Aleksandra is a highly skilled Data & AI Architect with a strong background in designing and implementing data governance strategies and AI solutions. Currently working at Software Mind, she has held roles at companies like Endava and Microsoft, where she excelled in cloud migration, data architecture and data visualization. Her extensive expertise in BigQuery, Microsoft Purview, Looker, Synapse and Power BI, supported by multiple certifications, including Azure Data Engineer Associate and Google Professional Data Engineer, enables Aleksandra to effectively boost cloud and data engineering projects.

Radosław Łebkowski

Cloud Solutions Architect, Data & AI at Microsoft

With extensive expertise in cloud-based data analytics systems as well as Microsoft Power BI and Fabric solutions, Radosław specializes in data processing and analytics (BI, Big Data, AI & Machine Learning) and business process automation (Power Platform). In his career, he has been helping businesses choose and implement optimal reporting and analytics solutions that empower organizations to effectively utilize their employees’ potential. At Microsoft, he’s responsible for supporting the biggest Enterprise clients (including financial services, telecom, manufacturing and the public sector) in driving digital transformations, modern work environments and effective data management. With numerous cloud technology and analytics certificates, Radosław is also a regular speaker at industry conferences.

Damian Mazurek

Chief Innovation Officer at Software Mind

A certified AI and machine learning (ML) architect with over 15 years’ experience in the software industry, Damian has spent the last 7 years as an AI and ML consultant. In his current role, he oversees the technology strategy and operations, while working with clients to design and implement scalable and effective AI and ML solutions. In addition to his experience as an AI and ML consultant, Damian has extensive knowledge in cloud computing, which has enabled him to help numerous organizations leverage these technologies to improve operations and drive business growth.

Estera Kot

Principal Product Manager at Microsoft 

Dr. Estera Kot is a Principal Product Manager at Microsoft, leading innovative features and products in Microsoft Fabric, a cutting-edge big data processing platform. With a PhD in Computer Science focused on multimodal medical image processing for brain tumor diagnosis, Dr. Kot brings a unique blend of artificial intelligence expertise and practical engineering applications to the field of predictive analytics. Her 11-year career spans research, software development and management roles across various industries. She's passionate about driving ethical innovations in Big Data, Analytics and AI.

Piotr Szymczak

Cloud AI Engineer at Software Mind

A Cognitive Science graduate with over 3 years’ experience in AI and machine learning (ML), Piotr has been implementing classical machine learning and generative AI technologies to help businesses develop innovative solutions and boost their growth. His professional interests include Natural Language Processing (NLP), ML systems in production (including monitoring and evaluation) as well as the capabilities and limitations of generative AI.

Daniel Pisarek

Data & AI Architect at Software Mind

As a Cloud, Data & AI Architect, Daniel specializes in Google Cloud Platform (GCP) and Microsoft Azure, leveraging his expertise to build and optimize scalable cloud, data and AI solutions for various sectors, including financial services, telecommunications, Big Data, travel and technology. With professional certifications and cross-sector experience, Daniel is adept at navigating clients’ complex challenges, offering tailored strategies in cloud governance, data architecture, migration and infrastructure. Passionate about public cloud innovation, he continuously deepens his expertise in data and AI technologies, driving transformation and creating value in the IT industry.

Klaudia Czarnecka

Head of Cloud & AI Unit at Software Mind

An experienced leader and strategist with over a decade of experience in the IT industry, Klaudia leverages her expertise in cloud consulting and generative AI to deliver innovative, scalable solutions to clients across industries. As Head of Cloud & AI Unit, she creates and implements tailored cloud strategies, while supervising consulting projects using leading public clouds, such as Microsoft Azure, Google Cloud Platform, Amazon Web Services and Oracle Cloud Infrastructure. Klaudia’s passion for process improvement and product development enables her to drive business growth, optimize operations and build strong partnerships with clients.

Doug Gray

Data Science Director at Walmart Global Tech

A data science practitioner with extensive experience in leadership roles, Doug leads teams that increase efficiency, cost effectiveness and profit performance by leveraging data and advanced analytics. Since 2016, Doug has also taught Business Analytics & AI Strategy as an adjunct professor at Southern Methodist University in Dallas and served as an instructor in the EMBA and MS in Data Science programs. His Analytical Sciences teams have created a cumulative $3 billion USD in finance-validated business value and economic impact at companies including American Airlines, Southwest Airlines and Walmart.

About Software Mind

Operationalize data to create actionable insights

Software Mind engineers software that reimagines tomorrow. For over 25 years, our skilled development teams have been accelerating digital transformations and boosting software delivery for companies of all sizes across different industries.

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