Just a few years ago, corporate data systems were more like a “darkroom” – a place to store mandatory data for regulators and reporting. Today, companies are moving to the cloud and completely rethinking how they work with data. “The difference between the past and today is like night and day. Data has become the new gold, and its value is now front and center,” says Adam Wojtkowski, Country Manager for Eastern Europe at Snowflake, in the latest episode of Adastra’s podcast.
In the conversation, he explains how fierce competition in banking, retail, and e-commerce is forcing companies to build entirely new business models on top of data. According to him, Snowflake has been successful because, as a cloud-native platform, “it just works” – simply, quickly, and without complex migrations. This allows customers to focus on business value and cut the time to insights from months to days.
All content for Data: Hell or Heaven? (Adastra Podcast) is the property of Adastra and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Just a few years ago, corporate data systems were more like a “darkroom” – a place to store mandatory data for regulators and reporting. Today, companies are moving to the cloud and completely rethinking how they work with data. “The difference between the past and today is like night and day. Data has become the new gold, and its value is now front and center,” says Adam Wojtkowski, Country Manager for Eastern Europe at Snowflake, in the latest episode of Adastra’s podcast.
In the conversation, he explains how fierce competition in banking, retail, and e-commerce is forcing companies to build entirely new business models on top of data. According to him, Snowflake has been successful because, as a cloud-native platform, “it just works” – simply, quickly, and without complex migrations. This allows customers to focus on business value and cut the time to insights from months to days.
Just a few years ago, corporate data systems were more like a “darkroom” – a place to store mandatory data for regulators and reporting. Today, companies are moving to the cloud and completely rethinking how they work with data. “The difference between the past and today is like night and day. Data has become the new gold, and its value is now front and center,” says Adam Wojtkowski, Country Manager for Eastern Europe at Snowflake, in the latest episode of Adastra’s podcast.
In the conversation, he explains how fierce competition in banking, retail, and e-commerce is forcing companies to build entirely new business models on top of data. According to him, Snowflake has been successful because, as a cloud-native platform, “it just works” – simply, quickly, and without complex migrations. This allows customers to focus on business value and cut the time to insights from months to days.
Just a few years ago, companies built data warehouses primarily for reporting. Today, the situation is different: data has become a strategic asset and the key to unlocking AI. “Many organizations are only beginning the journey to make their data truly AI-ready. And this is exactly where Fabric plays a crucial role,” says Lars Andersen, Senior Program Manager at Microsoft and one of Europe’s leading experts on Fabric, in the new episode of Adastra’s podcast.
He explains how Microsoft Fabric brings together analytical tools in one SaaS platform, enabling organizations to work with data for BI, SQL, and machine learning all in one place.
He also highlights new features: real-time intelligence, enabling instant reactions instead of waiting for nightly batch loads, and data agents—tools for building intelligent agents directly on top of your own data.
„Většinu rozhodnutí, které dnes dělám jako předseda představenstva, by AI technicky zvládla,“ říká Vladimír Bezděk, šéf AVANT investiční společnosti a ekonomický poradce prezidenta Petra Pavla. V podcastu Adastry mluví o tom, jaké využití umělé inteligence už dnes testují v AVANTu — a kde se zatím AI neobejde bez člověka.
A few highlights from the conversation:
Target: Reduce Scope 1 and 2 emissions by 40%, and Scope 3 by 20% by 2030 (compared to 2022).
Together with Adastra, KUKA built a tool to collect over 200 ESG data points from all global sites.
ESG data is now used not only for compliance, but also to answer customer requests, enable internal reporting, and drive process improvements.
The biggest challenge? Explaining to teams in the field why ESG data matters—and how to collect or estimate it.
Co se v podcastu dozvíte?
Proč firmy tápou v přehršli AI nástrojů a jak jim Everbot pomáhá vybrat ten správný — bez technického zázemí.
Jak se AI podílela na vzniku multimilionového byznysu s malováním podle čísel.
Proč je datový sklad klíčový pro úspěšné nasazení AI, ať už v marketingu nebo celé firmě.
Jak se AI postupně mění z nástroje pro nadšence v každodenního parťáka, který zvládne i komplexní pracovní úkoly na pár kliknutí.
Proč se s AI musí naučit pracovat každý — jinak mu ujede vlak.
Just a few years ago, corporate data systems were more like a “darkroom” – a place to store mandatory data for regulators and reporting. Today, companies are moving to the cloud and completely rethinking how they work with data. “The difference between the past and today is like night and day. Data has become the new gold, and its value is now front and center,” says Adam Wojtkowski, Country Manager for Eastern Europe at Snowflake, in the latest episode of Adastra’s podcast.
In the conversation, he explains how fierce competition in banking, retail, and e-commerce is forcing companies to build entirely new business models on top of data. According to him, Snowflake has been successful because, as a cloud-native platform, “it just works” – simply, quickly, and without complex migrations. This allows customers to focus on business value and cut the time to insights from months to days.
