Data: Heaven or Hell? (Adastra Podcast)

Jak se měří dopad systémové změny ve vzdělávání?  Proč je těžší pracovat s kvalitativními rozhovory než s tabulkou počtů škol a učitelů?  A jak může AI pomoci školám doporučovat vhodné formy podpory podle jejich konkrétních potřeb?

Chris Peart, Sales Leader at Snowflake Canada, shares how unified data, governed context, and agentic AI are reshaping how enterprises turn information into action. He explains why "context is king" as frontier models become commoditized, how a single AI Data Cloud across AWS, Azure, and GCP removes the brittleness of traditional architectures, and how Snowflake Cortex and Coworker give knowledge...

Shannon Bell, EVP, Chief Digital Officer and Chief Information Officer at OpenText, shares how “information first” thinking, simplicity, and agentic AI are reshaping how large enterprises work. She explains why most enterprises don’t have an AI problem but an information problem, how to go slow to go fast with AI, and how a blended workforce of humans and AI agents turns scarce skills and fragment...

Justin Rister, Senior Cloud and AI Specialist at Microsoft, explains why leaders should start with business pain points, not technology. He shares how Fabric unifies the analytics stack for teams of all skillsets, why Databricks and Fabric are a better-together story, and how an AI layer on unified data empowers business users to ask questions and get answers without waiting on IT.  What does it m...

Tamer Farag, Global Fabric Partner Lead at Microsoft, shares how the fastest-growing analytics platform in the world is helping 31,000 customers unify fragmented data estates and unlock AI value. He highlights why you don't need to move your data to govern it, how mirroring is offered free to accelerate adoption, and what makes partners like Adastra critical to scaling Fabric globally.  What does...

Jak připravit data, tak aby AI skutečně pomáhala a neškodila?   Jak funguje „chat with your data“ v praxi?   A proč bez kontextu AI odpovídá špatně, i když má správná data? Zjistěte více o řešení Power BI .

Kevin McCurdy, Global Partner Lead, Consumer Goods, AWS, shows how Gen AI, trusted data, and risk-based guardrails turn experiments into repeatable CPG value. He highlights AWS and partner capabilities (Amazon Bedrock, SageMaker, secure integrations) with real wins such as demand forecasting, planogram automation, and Adastra’s Mark Anthony Group solution that scales assortment optimization and au...

Rehan Shah, General Manager and Head of Channel and Partner Sales for US Greenfield at AWS, explains how the right mix of AI tools, trustworthy data, and strong controls turns early AI trials into real business results. He shows how AWS provides access to top models, better value, responsible AI practices, and secure ways to connect your systems. Examples include instant insights from manufacturin...

Glenn Remoreras, EVP, Chief Information Officer at Breakthru Beverage Group, shares how a cloud-first “platform, data, AI” architecture and executive-led AI readiness turn market pressures into value. He highlights migrating 300+ services to AWS, why the data layer is the most critical, risk-based guardrails, and quick-win pilots like Legal GPT and an AI Sales Coach.  What does it take to build a...

 Chris‑Markus “CMK” Kratz, AWS Global Director of Automotive and Manufacturing, explains how outcome‑first, customer‑obsessed transformation and ecosystem partnerships are reshaping the industry. He details the shift to software‑defined vehicles and the car as a proactive companion, how GenAI is collapsing mainframe refactoring from years to months, and what it takes to move beyond pilots to produ...

Jak dlouho trval vývoj a rollout řešení?  Proč byl pilot klíčový pro přijetí mezi poradci?  A jaké další procesy chtějí v Člověku v tísni digitalizovat dál – od komunikace s finančním arbitrem až po soudy? Více o řešeních  Power Platform   a kvalitě dat .

How do you set up an AI strategy in a large organization?  Why is security more important than speed?  And how do you prevent AI from turning into an uncontrolled “agent zoo”? 

Learn more about: Adastra AI

What does it take to build an incubator that learns fast and delivers real value?   When is “good enough” data enough—and how can AI expose and improve the gaps?   Which operating model and governance practices drive adoption without slowing execution?   Learn more about: GenAI , Adastra AI

How can artificial intelligence help protect biodiversity? Will we ever objectively understand what is in the “interest” of other species? And what happens when the interests of different species collide?

How does Snowflake work with AI models to keep data in a secure environment Why is going back to on-prem solutions no longer an option? And why does Wojtkowski believe SaaS and AI will dominate the future of data platforms?

What use cases are companies solving with Fabric most often? How can organizations start with smaller projects and scale them to an enterprise level? And why does Andersen believe it’s always worth building new solutions “on a blank sheet of paper”?

How can data observability organizations detect silent failures before they impact business decisions?  What’s the difference between data quality management and data observability—and why does it matter for AI readiness?  What should organizations consider when deciding to build or buy a data observability solution?  Learn more about the solution: AI-ready data

Proč je porovnávání statutů fondů ideální úkol pro umělou inteligenci — a jak AVANTu pomáhá snížit riziko chyb i právní nejistoty. Jak by AI mohla asistovat při oceňování aktiv na základě předchozích posudků a výpočtových rámců.  Proč si Bezděk myslí, že AI může porazit juniory, ale ne nahradit manažera, který dělá zásadní rozhodnutí bez dostatku dat. Jaké změny AI přináší na trh práce — a proč se...

How do you measure the success of data governance ? Where do you find both the technical and “human” profiles for the team? And why should data governance be a natural part of work — not just another extra activity?  In the podcast, Pavlína Vajgarová, Data Intelligence Lead at one of the largest Czech banks, explains how Česká spořitelna gradually transformed its approach to data over three years...

Zemědělské stroje, které se skládají z tisíců dílů. Tým plánovačů, který přestával stíhat každou změnu. A linková výroba, která měla přinést vyšší efektivitu – ale zpočátku zpomalila celý provoz. „Museli jsme si přiznat, že to sami neutáhneme. A začali jsme hledat nástroj, který by plánování zvládl rychleji a lépe než člověk,“ říká Jan Slavík, IT ředitel společnosti Bednar FMT, v podcastu Adastry....

V CETIN nepodléhají každému hype. Když přišla AI vlna, místo chatbotů a hezkých demo ukázek začali hledat konkrétní byznysové případy, kde může umělá inteligence reálně pomoct. „Nepotřebujeme víc sexy nástrojů. Potřebujeme nástroje, které fungují,“ říká Jan Štěpánovský, CIO CETIN, v novém dílu podcastu Adastry. Zjistěte více o řešení:  Data governance

Zjistěte více o řešení: Hyperautomatizace

Tracking ESG data in Excel? With over 100 sites in 50 countries, that simply wouldn’t work at KUKA. “To manage ESG effectively, it’s not enough to just collect data. We need to understand the impact – across divisions, regions, and products,” says Kerstin Heinrich, Head of Corporate Sustainability at KUKA.  In the latest Adastra podcast episode, she explains how ESG reporting is no longer just a c...