Proof of Impact Transistor (https://transistor.fm) https://feeds.transistor.fm/proof-of-impact Real stories. Measurable business outcomes. Conversations with business and technology leaders about the transformations, decisions, and partnerships that deliver meaningful results. Through real-world experiences and lessons learned, the podcast explores how enterprises turn ambition and technology into business impact. Adastra Corporation a1a3e09d-913a-5885-ad54-6235fe22ab35 yes en Wed, 14 Oct 2026 10:39:54 -0700 Wed, 14 Oct 2026 10:40:15 -0700 https://img.transistorcdn.com/h7fk5OanoYJp5Z3f_RHbbeJDNvpHV_wOQOtJXMm5Tcs/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iMWI4/MzAzYjhjYmQ4YjMy/Njc0OGViMzI4YzAz/ODZmNi5wbmc.jpg Proof of Impact episodic Adastra Real stories. Measurable business outcomes. Conversations with business and technology leaders about the transformations, decisions, and partnerships that deliver meaningful results. Through real-world experiences and lessons learned, the podcast explores how enterprises turn ambition and technology into business impact. Real stories. Adastra No No “The Best Airlines Will Use AI to Build Trust, Not Just Revenue,” Says Shingai George, Aviation Expert 27 27 “The Best Airlines Will Use AI to Build Trust, Not Just Revenue,” Says Shingai George, Aviation Expert full 87c2c8b2-2823-4029-bf24-995a1f121201 https://share.transistor.fm/s/f9ae682d Shingai George, Aviation Consultant specializing in data analytics, AI, and sustainability, shares how modern data platforms, AI-driven decision-making, and shared data ecosystems are helping the aviation industry adapt to a new era of geopolitical volatility, regulatory pressure, and sustainability demands. He explains how airlines are moving beyond decades of cost-and-efficiency optimization toward resilience as a competitive advantage, and how AI is reshaping everything from flight planning and predictive maintenance to passenger experience and emissions management. He also explores why the future of airline success lies in shifting from short-term yield to long-term customer value, using AI to build loyalty and trust, not just revenue. Drawing on experience across customer service, flight operations, route development, flight safety, MRO, and sustainability, he highlights why aviation, one of the world’s most interconnected industries, must move from fragmented optimization toward network-wide intelligence. 

This episode will answer:  

  • How can airlines build resilience into flight planning, fuel forecasting, and operational decisions when geopolitical shocks can reroute entire networks overnight? 
  • What role does AI play in transforming the passenger journey from reactive service to predictive engagement, without crossing the line between personalization and perceived unfairness? 
  • How can the industry responsibly share data across airlines, airports, and regulators, and why is federated data sharing key to the future of air traffic management, sustainability, and network resilience? 
]]> Shingai George, Aviation Consultant specializing in data analytics, AI, and sustainability, shares how modern data platforms, AI-driven decision-making, and shared data ecosystems are helping the aviation industry adapt to a new era of geopolitical volatility, regulatory pressure, and sustainability demands. He explains how airlines are moving beyond decades of cost-and-efficiency optimization toward resilience as a competitive advantage, and how AI is reshaping everything from flight planning and predictive maintenance to passenger experience and emissions management. He also explores why the future of airline success lies in shifting from short-term yield to long-term customer value, using AI to build loyalty and trust, not just revenue. Drawing on experience across customer service, flight operations, route development, flight safety, MRO, and sustainability, he highlights why aviation, one of the world’s most interconnected industries, must move from fragmented optimization toward network-wide intelligence. 

This episode will answer:  

  • How can airlines build resilience into flight planning, fuel forecasting, and operational decisions when geopolitical shocks can reroute entire networks overnight? 
  • What role does AI play in transforming the passenger journey from reactive service to predictive engagement, without crossing the line between personalization and perceived unfairness? 
  • How can the industry responsibly share data across airlines, airports, and regulators, and why is federated data sharing key to the future of air traffic management, sustainability, and network resilience? 
]]> Thu, 16 Jul 2026 03:00:00 -0700 Adastra Adastra 1521 Shingai George, Aviation Consultant specializing in data analytics, AI, and sustainability, shares how modern data platforms, AI-driven decision-making, and shared data ecosystems are helping the aviation industry adapt to a new era of geopolitical volatility, regulatory pressure, and sustainability demands. He explains how airlines are moving beyond decades of cost-and-efficiency optimization toward resilience as a competitive advantage, and how AI is reshaping everything from flight planning and predictive maintenance to passenger experience and emissions management. He also explores why the future of airline success lies in shifting from short-term yield to long-term customer value, using AI to build loyalty and trust, not just revenue. Drawing on experience across customer service, flight operations, route development, flight safety, MRO, and sustainability, he highlights why aviation, one of the world’s most interconnected industries, must move from fragmented optimization toward network-wide intelligence. 

This episode will answer:  

  • How can airlines build resilience into flight planning, fuel forecasting, and operational decisions when geopolitical shocks can reroute entire networks overnight? 
  • What role does AI play in transforming the passenger journey from reactive service to predictive engagement, without crossing the line between personalization and perceived unfairness? 
  • How can the industry responsibly share data across airlines, airports, and regulators, and why is federated data sharing key to the future of air traffic management, sustainability, and network resilience? 
]]> No "Context is King," Says Chris Peart, Snowflake 26 26 "Context is King," Says Chris Peart, Snowflake full 6197c009-41c9-4cb3-b6da-3b572df025bc https://share.transistor.fm/s/7ddd7f5d 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 workers immediate answers instead of waiting weeks for engineering teams.

He also digs into the agentic future and the cultural shift required to win with AI: why "nobody sells anybody anything" and customers buy outcomes, why Canadian enterprises are falling behind global peers by being too cautious, and how the next frontier is autonomous agents negotiating with other agents across organizational boundaries.

The episode answers:

  • Why is your data, not the model you choose, the true competitive differentiator in the agentic era?
  • What does a governed context layer look like, and why is it the foundation for agents you can trust?
  • Why are Canadian enterprises falling behind global peers on AI, and what does it take to start swinging?
]]> 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 workers immediate answers instead of waiting weeks for engineering teams.

He also digs into the agentic future and the cultural shift required to win with AI: why "nobody sells anybody anything" and customers buy outcomes, why Canadian enterprises are falling behind global peers by being too cautious, and how the next frontier is autonomous agents negotiating with other agents across organizational boundaries.

The episode answers:

  • Why is your data, not the model you choose, the true competitive differentiator in the agentic era?
  • What does a governed context layer look like, and why is it the foundation for agents you can trust?
  • Why are Canadian enterprises falling behind global peers on AI, and what does it take to start swinging?
]]> Tue, 16 Jun 2026 03:00:00 -0700 Adastra Adastra 1806 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 workers immediate answers instead of waiting weeks for engineering teams.

He also digs into the agentic future and the cultural shift required to win with AI: why "nobody sells anybody anything" and customers buy outcomes, why Canadian enterprises are falling behind global peers by being too cautious, and how the next frontier is autonomous agents negotiating with other agents across organizational boundaries.

The episode answers:

  • Why is your data, not the model you choose, the true competitive differentiator in the agentic era?
  • What does a governed context layer look like, and why is it the foundation for agents you can trust?
  • Why are Canadian enterprises falling behind global peers on AI, and what does it take to start swinging?
]]> No “The technology is good enough. The real hurdle now is people, fear, and change management,” says Shannon Bell, CIO, OpenText 25 25 “The technology is good enough. The real hurdle now is people, fear, and change management,” says Shannon Bell, CIO, OpenText full 35ff2c48-81ba-4fef-9484-b8b276d5ff9c https://share.transistor.fm/s/62bb40e6 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 fragmented processes into scalable value. 

Crucially, she digs into change management and the future of jobs: why fear of displacement is often higher than the reality, how to position AI as a copilot rather than a competitor, and what it means to give 22,000+ employees an AI development goal so they can actively shape how their roles evolve. She also shows where agentic AI is ready now, such as search and summarize, root cause analysis, and software delivery, and why success depends on clear roles, governed data, and using HR and SRE teams as early champions to build an “AI fabric” across the enterprise. 

  • What does it really take to make AI an assistant, not a threat, for your workforce? 
  • How can you start small on messy, real-world systems and still build toward an AI ready data estate? 
  • Which foundations, guardrails, and operating model let you decentralize AI innovation without losing control?  
]]> 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 fragmented processes into scalable value. 

Crucially, she digs into change management and the future of jobs: why fear of displacement is often higher than the reality, how to position AI as a copilot rather than a competitor, and what it means to give 22,000+ employees an AI development goal so they can actively shape how their roles evolve. She also shows where agentic AI is ready now, such as search and summarize, root cause analysis, and software delivery, and why success depends on clear roles, governed data, and using HR and SRE teams as early champions to build an “AI fabric” across the enterprise. 

  • What does it really take to make AI an assistant, not a threat, for your workforce? 
  • How can you start small on messy, real-world systems and still build toward an AI ready data estate? 
  • Which foundations, guardrails, and operating model let you decentralize AI innovation without losing control?  
]]> Thu, 14 May 2026 03:00:00 -0700 Adastra Adastra 2330 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 fragmented processes into scalable value. 

Crucially, she digs into change management and the future of jobs: why fear of displacement is often higher than the reality, how to position AI as a copilot rather than a competitor, and what it means to give 22,000+ employees an AI development goal so they can actively shape how their roles evolve. She also shows where agentic AI is ready now, such as search and summarize, root cause analysis, and software delivery, and why success depends on clear roles, governed data, and using HR and SRE teams as early champions to build an “AI fabric” across the enterprise. 

  • What does it really take to make AI an assistant, not a threat, for your workforce? 
  • How can you start small on messy, real-world systems and still build toward an AI ready data estate? 
  • Which foundations, guardrails, and operating model let you decentralize AI innovation without losing control?  
]]> No "Start with Business Challenges, Not Solutions," Says Justin Rister, Microsoft 24 24 "Start with Business Challenges, Not Solutions," Says Justin Rister, Microsoft full 7e1f52c0-184f-40e3-8ef1-800f6ec91495 https://share.transistor.fm/s/1f1de846 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 mean to be a strategic partner instead of a product pusher?  
  • How do you remove bottlenecks by letting business users access insights directly? 
  • Why should leaders think big, start small, and scale fast? 
]]> 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 mean to be a strategic partner instead of a product pusher?  
  • How do you remove bottlenecks by letting business users access insights directly? 
  • Why should leaders think big, start small, and scale fast? 
]]> Thu, 30 Apr 2026 03:00:00 -0700 Adastra Adastra 1304 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 mean to be a strategic partner instead of a product pusher?  
  • How do you remove bottlenecks by letting business users access insights directly? 
  • Why should leaders think big, start small, and scale fast? 
]]> No "31,000 customers have adopted Fabric in the last two and a half years," says Tamer Farag, Microsoft 23 23 "31,000 customers have adopted Fabric in the last two and a half years," says Tamer Farag, Microsoft full a795f581-2a72-4f48-8653-64e5f00c1497 https://share.transistor.fm/s/dec116ae 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 it take to connect AI to your data without a massive migration project?  
  • How is Fabric enabling customers to move from static reports to asking questions directly to their data? 
  • Which trends, from real-time intelligence to chat with your data, are driving customer demand in 2026? 
]]> 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 it take to connect AI to your data without a massive migration project?  
  • How is Fabric enabling customers to move from static reports to asking questions directly to their data? 
  • Which trends, from real-time intelligence to chat with your data, are driving customer demand in 2026? 
]]> Tue, 28 Apr 2026 03:00:00 -0700 Adastra Adastra 1118 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 it take to connect AI to your data without a massive migration project?  
  • How is Fabric enabling customers to move from static reports to asking questions directly to their data? 
  • Which trends, from real-time intelligence to chat with your data, are driving customer demand in 2026? 
]]> No Risk in AI-Developed Cancer Drugs with Jon Steffey, Tolmar 22 22 Risk in AI-Developed Cancer Drugs with Jon Steffey, Tolmar full a88bef82-b269-4ef4-9cda-261ee76ae9a0 https://share.transistor.fm/s/8fa2cb5e Thu, 16 Apr 2026 03:00:00 -0700 Adastra Adastra 1286 No "Helpful, not creepy: personalization that earns trust," says Kevin McCurdy, Global CPG Partner Lead, AWS 21 21 "Helpful, not creepy: personalization that earns trust," says Kevin McCurdy, Global CPG Partner Lead, AWS full 1125ea1a-555b-438e-9142-4cf1c5353ffd https://share.transistor.fm/s/9e8f1edb 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 auto-generates seller scripts, plus quick-win assistants, cost controls, and an enterprise AI program with clear budgets, ownership, and accountability across product, employee, and customer use cases. 

  • What does it take to move from quick wins with Amazon Q to custom, domain-aware agents on Bedrock that scale across the enterprise? 
  • When is “good enough” data enough to start, and how can AI assistants surface gaps while improving data quality over time? 
  • Which operating model and risk-based guardrails help leaders control cost and compliance while accelerating adoption? 
]]> 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 auto-generates seller scripts, plus quick-win assistants, cost controls, and an enterprise AI program with clear budgets, ownership, and accountability across product, employee, and customer use cases. 

  • What does it take to move from quick wins with Amazon Q to custom, domain-aware agents on Bedrock that scale across the enterprise? 
  • When is “good enough” data enough to start, and how can AI assistants surface gaps while improving data quality over time? 
  • Which operating model and risk-based guardrails help leaders control cost and compliance while accelerating adoption? 
]]> Tue, 10 Mar 2026 03:00:00 -0700 Adastra Adastra 1495 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 auto-generates seller scripts, plus quick-win assistants, cost controls, and an enterprise AI program with clear budgets, ownership, and accountability across product, employee, and customer use cases. 

  • What does it take to move from quick wins with Amazon Q to custom, domain-aware agents on Bedrock that scale across the enterprise? 
  • When is “good enough” data enough to start, and how can AI assistants surface gaps while improving data quality over time? 
  • Which operating model and risk-based guardrails help leaders control cost and compliance while accelerating adoption? 
]]> No “Good enough to start, governed enough to scale," says Rehan Shah, AWS 20 20 “Good enough to start, governed enough to scale," says Rehan Shah, AWS full 86a02d53-0692-490a-bbbc-75255c707619 https://share.transistor.fm/s/8549152d 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 manufacturing data and Breakthru Beverage moving hundreds of servers, plus quick AI helpers like a Sales Coach and a Legal Assistant. He also shares how to keep costs in check and set up a company-wide AI program with clear budgets and accountability. 

  • What does it take to move from quick wins with Amazon Q to custom agents on Bedrock that scale across the enterprise?  
  • When is “good enough” data enough to start, and how can AI assistants surface gaps while improving data quality over time?  
  • Which operating model and risk-based guardrails help leaders control cost and compliance while accelerating adoption? 
]]> 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 manufacturing data and Breakthru Beverage moving hundreds of servers, plus quick AI helpers like a Sales Coach and a Legal Assistant. He also shares how to keep costs in check and set up a company-wide AI program with clear budgets and accountability. 

  • What does it take to move from quick wins with Amazon Q to custom agents on Bedrock that scale across the enterprise?  
  • When is “good enough” data enough to start, and how can AI assistants surface gaps while improving data quality over time?  
  • Which operating model and risk-based guardrails help leaders control cost and compliance while accelerating adoption? 
]]> Thu, 26 Feb 2026 03:00:00 -0800 Adastra Adastra 1005 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 manufacturing data and Breakthru Beverage moving hundreds of servers, plus quick AI helpers like a Sales Coach and a Legal Assistant. He also shares how to keep costs in check and set up a company-wide AI program with clear budgets and accountability. 

  • What does it take to move from quick wins with Amazon Q to custom agents on Bedrock that scale across the enterprise?  
  • When is “good enough” data enough to start, and how can AI assistants surface gaps while improving data quality over time?  
  • Which operating model and risk-based guardrails help leaders control cost and compliance while accelerating adoption? 
]]> No “Think of it as a three-layer cake: platform, data, AI,” says Glenn Remoreras, CIO, Breakthru Beverage Group 19 19 “Think of it as a three-layer cake: platform, data, AI,” says Glenn Remoreras, CIO, Breakthru Beverage Group full f8a024b8-88d4-48a1-8870-11727528a697 https://share.transistor.fm/s/3d0c3039 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 foundation that learns fast and scales AI beyond hype? 
  • When is “good enough” data enough, and how can AI expose and fix the gaps?  
  • Which operating model and governance enable adoption without slowing delivery? 
]]> 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 foundation that learns fast and scales AI beyond hype? 
  • When is “good enough” data enough, and how can AI expose and fix the gaps?  
  • Which operating model and governance enable adoption without slowing delivery? 
]]> Thu, 05 Feb 2026 03:00:00 -0800 Adastra Adastra 2859 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 foundation that learns fast and scales AI beyond hype? 
  • When is “good enough” data enough, and how can AI expose and fix the gaps?  
  • Which operating model and governance enable adoption without slowing delivery? 
]]> No "The car is becoming a smartphone on wheels, an extension of your living room," says Chris-Markus Kratz, AWS Global Director of Automotive and Manufacturing 18 18 "The car is becoming a smartphone on wheels, an extension of your living room," says Chris-Markus Kratz, AWS Global Director of Automotive and Manufacturing full 17c1374e-1082-4366-ad5b-5c135b960e4e https://share.transistor.fm/s/eb3d9543  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 production. Kratz shares lessons from Amazon’s own “shop floor” in its fulfillment centers, why the cloud is ready for OT, and why critical thinking and change management matter as much as technology. He also covers autonomy at scale, the equalizing effect of AI for SMBs and OEMs alike, and the “better together” role of SIs like Adastra. 

  • How do OEMs and suppliers work backwards from outcomes to deploy GenAI in real production? 
  • What makes the factory floor ready for cloud and AI, and how do you ensure resilience? 
  • How does mainframe modernization unlock microservices and accelerate transformation? 
  • Which ecosystem partnerships and governance practices deliver value without slowing execution? 
  • Is AI the great equalizer across company sizes, and how should leaders manage the cultural shift?  
]]>  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 production. Kratz shares lessons from Amazon’s own “shop floor” in its fulfillment centers, why the cloud is ready for OT, and why critical thinking and change management matter as much as technology. He also covers autonomy at scale, the equalizing effect of AI for SMBs and OEMs alike, and the “better together” role of SIs like Adastra. 

  • How do OEMs and suppliers work backwards from outcomes to deploy GenAI in real production? 
  • What makes the factory floor ready for cloud and AI, and how do you ensure resilience? 
  • How does mainframe modernization unlock microservices and accelerate transformation? 
  • Which ecosystem partnerships and governance practices deliver value without slowing execution? 
  • Is AI the great equalizer across company sizes, and how should leaders manage the cultural shift?  
]]> Thu, 05 Feb 2026 03:00:00 -0800 Adastra Adastra 1888  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 production. Kratz shares lessons from Amazon’s own “shop floor” in its fulfillment centers, why the cloud is ready for OT, and why critical thinking and change management matter as much as technology. He also covers autonomy at scale, the equalizing effect of AI for SMBs and OEMs alike, and the “better together” role of SIs like Adastra. 

  • How do OEMs and suppliers work backwards from outcomes to deploy GenAI in real production? 
  • What makes the factory floor ready for cloud and AI, and how do you ensure resilience? 
  • How does mainframe modernization unlock microservices and accelerate transformation? 
  • Which ecosystem partnerships and governance practices deliver value without slowing execution? 
  • Is AI the great equalizer across company sizes, and how should leaders manage the cultural shift?  
]]> No AI makes no sense without customer impact. Implementing it just for the sake of technology is a dead end (Jan Vacek, DHL) 17 17 AI makes no sense without customer impact. Implementing it just for the sake of technology is a dead end (Jan Vacek, DHL) full 761e541b-3c35-49ca-beaf-866958d36d52 https://share.transistor.fm/s/de282586 Logistics is one of the industries where AI has enormous potential–but also high demands for security, integration, and real customer impact. “We don’t implement AI because it’s a trend. Every solution must improve the service for the customer,” says Jan Vacek from DHL in a new episode of the Adastra podcast. 

In the episode, he explains how DHL approaches AI adoption at the enterprise level–from a strong emphasis on data security to building an internal AI community across hundreds of employees. A small central team plays a key role in evaluating new tools, while an open approach allows individual teams to actively use AI in their own projects.

]]> Logistics is one of the industries where AI has enormous potential–but also high demands for security, integration, and real customer impact. “We don’t implement AI because it’s a trend. Every solution must improve the service for the customer,” says Jan Vacek from DHL in a new episode of the Adastra podcast. 

In the episode, he explains how DHL approaches AI adoption at the enterprise level–from a strong emphasis on data security to building an internal AI community across hundreds of employees. A small central team plays a key role in evaluating new tools, while an open approach allows individual teams to actively use AI in their own projects.

]]> Tue, 13 Jan 2026 03:00:00 -0800 Adastra Adastra 2009 Logistics is one of the industries where AI has enormous potential–but also high demands for security, integration, and real customer impact. “We don’t implement AI because it’s a trend. Every solution must improve the service for the customer,” says Jan Vacek from DHL in a new episode of the Adastra podcast. 

In the episode, he explains how DHL approaches AI adoption at the enterprise level–from a strong emphasis on data security to building an internal AI community across hundreds of employees. A small central team plays a key role in evaluating new tools, while an open approach allows individual teams to actively use AI in their own projects.

]]> No "It’s not about replacing people—it’s about empowering people," says Kevin Harmer, Chief Cloud Officer at Adastra 16 16 "It’s not about replacing people—it’s about empowering people," says Kevin Harmer, Chief Cloud Officer at Adastra full 9f7a84ed-0aed-43c7-9104-231959960eb2 https://share.transistor.fm/s/a0302cdd Kevin Harmer, Adastra’s Chief Cloud Officer, demystifies Agentic AI and a three‑horizon path—from insights and augmentation to enterprise automation—guided by managed autonomy, human‑in‑the‑loop controls, and confidence thresholds. He shows how to move beyond Copilot to an enterprise agent framework and catalog (e.g., reusable KYC) via a three‑step program: strategy and process mining, a lighthouse proof, and a governed platform for scale. Results include 200,000 hours saved in invoice automation, revenue‑cycle agents that cut costs and speed payments, and “Happier Trucks” that reduce empty space and boost revenue, plus guidance on trusted automation, “good enough” data, and governance that builds trust without slowing execution.

]]> Kevin Harmer, Adastra’s Chief Cloud Officer, demystifies Agentic AI and a three‑horizon path—from insights and augmentation to enterprise automation—guided by managed autonomy, human‑in‑the‑loop controls, and confidence thresholds. He shows how to move beyond Copilot to an enterprise agent framework and catalog (e.g., reusable KYC) via a three‑step program: strategy and process mining, a lighthouse proof, and a governed platform for scale. Results include 200,000 hours saved in invoice automation, revenue‑cycle agents that cut costs and speed payments, and “Happier Trucks” that reduce empty space and boost revenue, plus guidance on trusted automation, “good enough” data, and governance that builds trust without slowing execution.

]]> Mon, 12 Jan 2026 03:00:00 -0800 Adastra Adastra 1835 Kevin Harmer, Adastra’s Chief Cloud Officer, demystifies Agentic AI and a three‑horizon path—from insights and augmentation to enterprise automation—guided by managed autonomy, human‑in‑the‑loop controls, and confidence thresholds. He shows how to move beyond Copilot to an enterprise agent framework and catalog (e.g., reusable KYC) via a three‑step program: strategy and process mining, a lighthouse proof, and a governed platform for scale. Results include 200,000 hours saved in invoice automation, revenue‑cycle agents that cut costs and speed payments, and “Happier Trucks” that reduce empty space and boost revenue, plus guidance on trusted automation, “good enough” data, and governance that builds trust without slowing execution.

]]> No Don’t wait for perfect data—start, then improve (Sam Wong, Mark Anthony Group) 15 15 Don’t wait for perfect data—start, then improve (Sam Wong, Mark Anthony Group) full 4a0d5a94-1db0-4da5-ab6a-dfe2e7838e0e https://share.transistor.fm/s/e9ac59e1 Sam Wong, Senior Director of Data and AI at the Mark Anthony Group, explains how a business-first AI incubation program can turn experiments into production value. He outlines a five-part framework, the importance of executive and business sponsorship, partnering with a vendor ecosystem, and prioritizing use cases by value versus effort. Wong discusses why you shouldn’t wait for perfect data, how AI projects catalyze data governance and quality, and how a blended federated/centralized operating model scales delivery in a mid‑market company. He also tackles change management and job-loss fears, positioning GenAI as augmented intelligence.

]]> Sam Wong, Senior Director of Data and AI at the Mark Anthony Group, explains how a business-first AI incubation program can turn experiments into production value. He outlines a five-part framework, the importance of executive and business sponsorship, partnering with a vendor ecosystem, and prioritizing use cases by value versus effort. Wong discusses why you shouldn’t wait for perfect data, how AI projects catalyze data governance and quality, and how a blended federated/centralized operating model scales delivery in a mid‑market company. He also tackles change management and job-loss fears, positioning GenAI as augmented intelligence.

]]> Wed, 07 Jan 2026 03:00:00 -0800 Adastra Adastra 1692 Sam Wong, Senior Director of Data and AI at the Mark Anthony Group, explains how a business-first AI incubation program can turn experiments into production value. He outlines a five-part framework, the importance of executive and business sponsorship, partnering with a vendor ecosystem, and prioritizing use cases by value versus effort. Wong discusses why you shouldn’t wait for perfect data, how AI projects catalyze data governance and quality, and how a blended federated/centralized operating model scales delivery in a mid‑market company. He also tackles change management and job-loss fears, positioning GenAI as augmented intelligence.

]]> No Gorillas with Digital Wallets: How AI Helps Understand the Needs of Other Species (Jonathan Ledgard, Tehanu) 14 14 Gorillas with Digital Wallets: How AI Helps Understand the Needs of Other Species (Jonathan Ledgard, Tehanu) full 2d5c1a4b-a051-4127-97a0-9b322df95a81 https://share.transistor.fm/s/ccbc2506 Humans express their interests through money. Can animals do the same? And can artificial intelligence truly recognize what animals need? Jonathan Ledgard, writer, former foreign correspondent for The Economist, and founder of the technology start-up Tehanu, believes they can.

In the new episode of Adastra’s podcast, he explains how his team uses sensors and AI to explore the concept of “interspecies money” – a system in which non-human beings could have their own digital identity, wallet, and the ability to express their interests, which humans then help fulfill.

The concept of interspecies money envisions that animals with verified digital identities could have an associated digital wallet. Funds would flow into these wallets through micro-payments from institutions or corporations that impact nature.

The system would then distribute these funds to human agents, people in local communities who perform specific conservation tasks, e.g. protecting territories.

]]> Humans express their interests through money. Can animals do the same? And can artificial intelligence truly recognize what animals need? Jonathan Ledgard, writer, former foreign correspondent for The Economist, and founder of the technology start-up Tehanu, believes they can.

In the new episode of Adastra’s podcast, he explains how his team uses sensors and AI to explore the concept of “interspecies money” – a system in which non-human beings could have their own digital identity, wallet, and the ability to express their interests, which humans then help fulfill.

The concept of interspecies money envisions that animals with verified digital identities could have an associated digital wallet. Funds would flow into these wallets through micro-payments from institutions or corporations that impact nature.

The system would then distribute these funds to human agents, people in local communities who perform specific conservation tasks, e.g. protecting territories.

]]> Tue, 14 Oct 2025 03:00:00 -0700 Adastra Adastra 1663 Humans express their interests through money. Can animals do the same? And can artificial intelligence truly recognize what animals need? Jonathan Ledgard, writer, former foreign correspondent for The Economist, and founder of the technology start-up Tehanu, believes they can.

In the new episode of Adastra’s podcast, he explains how his team uses sensors and AI to explore the concept of “interspecies money” – a system in which non-human beings could have their own digital identity, wallet, and the ability to express their interests, which humans then help fulfill.

The concept of interspecies money envisions that animals with verified digital identities could have an associated digital wallet. Funds would flow into these wallets through micro-payments from institutions or corporations that impact nature.

The system would then distribute these funds to human agents, people in local communities who perform specific conservation tasks, e.g. protecting territories.

]]> No The Future of Data Platforms? SaaS and AI, says Adam Wojtkowski from Snowflake 13 13 The Future of Data Platforms? SaaS and AI, says Adam Wojtkowski from Snowflake full c60d9b3c-083a-4c42-b242-437f111b2506 https://share.transistor.fm/s/4afdbc4d 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.

]]> Mon, 15 Sep 2025 03:00:00 -0700 Adastra Adastra 2644 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.

]]> No Fabric unifies data work: one version for reporting, SQL, and AI (Lars Andersen, Microsoft) 12 12 Fabric unifies data work: one version for reporting, SQL, and AI (Lars Andersen, Microsoft) full 12977606-2705-4bbb-b0c1-d529d1785906 https://share.transistor.fm/s/adef50a4 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.

]]> 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.

]]> Wed, 10 Sep 2025 03:00:00 -0700 Adastra Adastra 1922 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.

]]> No AI-Ready Data Starts with Observability, Not Governance, says Elton Martins, former data leader at the NFL and Genius Sports 11 11 AI-Ready Data Starts with Observability, Not Governance, says Elton Martins, former data leader at the NFL and Genius Sports full 8be4aba7-a200-4dfc-a9e1-b02c56fb33ce https://share.transistor.fm/s/20e91a7b Elton Martins, former data leader at the NFL and Genius Sports, joins Mark Kohout to explore the rising discipline of data observability. From detecting silent failures in data pipelines to enabling AI-ready data ecosystems, Elton shares real-world lessons from scaling data platforms across industries – and explains how observability empowers teams to build trust in their data—before it powers analytics, AI, and decision-making.

  • 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

]]> Elton Martins, former data leader at the NFL and Genius Sports, joins Mark Kohout to explore the rising discipline of data observability. From detecting silent failures in data pipelines to enabling AI-ready data ecosystems, Elton shares real-world lessons from scaling data platforms across industries – and explains how observability empowers teams to build trust in their data—before it powers analytics, AI, and decision-making.

  • 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

]]> Mon, 08 Sep 2025 03:00:00 -0700 Adastra Adastra 1833 Elton Martins, former data leader at the NFL and Genius Sports, joins Mark Kohout to explore the rising discipline of data observability. From detecting silent failures in data pipelines to enabling AI-ready data ecosystems, Elton shares real-world lessons from scaling data platforms across industries – and explains how observability empowers teams to build trust in their data—before it powers analytics, AI, and decision-making.

  • 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

]]> No Thanks to data governance, our analysts spend 50% less time on analysis, Says Pavlína Vajgarová from Česká spořitelna 10 10 Thanks to data governance, our analysts spend 50% less time on analysis, Says Pavlína Vajgarová from Česká spořitelna full fadff081-3886-4866-bde1-e68f6892a1d2 https://share.transistor.fm/s/00cb4b86 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 — from an Excel sheet of business terms to a dedicated data governance team and a full organizational rollout. 

]]> 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 — from an Excel sheet of business terms to a dedicated data governance team and a full organizational rollout. 

]]> Mon, 14 Jul 2025 03:00:00 -0700 Adastra Adastra 1964 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 — from an Excel sheet of business terms to a dedicated data governance team and a full organizational rollout. 

]]> No We Manage Sustainability Like Finance – With Accurate Data and Clear Impact, Says Kerstin Heinrich, KUKA 9 9 We Manage Sustainability Like Finance – With Accurate Data and Clear Impact, Says Kerstin Heinrich, KUKA full 2e8c28a1-7183-4238-8555-f5dba02198af https://share.transistor.fm/s/4e5377e3 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 compliance formality. It’s becoming a new standard—much like financial accounting. KUKA implemented Microsoft Sustainability Manager, built a custom data collector, and developed detailed guidelines for data governance and estimations. 

]]> 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 compliance formality. It’s becoming a new standard—much like financial accounting. KUKA implemented Microsoft Sustainability Manager, built a custom data collector, and developed detailed guidelines for data governance and estimations. 

]]> Wed, 14 May 2025 03:00:00 -0700 Adastra Adastra 1488 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 compliance formality. It’s becoming a new standard—much like financial accounting. KUKA implemented Microsoft Sustainability Manager, built a custom data collector, and developed detailed guidelines for data governance and estimations. 

]]> No "IoT now spans the entire supply chain, delivering insights into product and customer lifecycles," says Petr Blabla, Adastra 8 8 "IoT now spans the entire supply chain, delivering insights into product and customer lifecycles," says Petr Blabla, Adastra full da54aa68-07a4-4cf1-bded-7f5f63832117 https://share.transistor.fm/s/246a0448 The rise of the Internet of Things (IoT) is transforming how businesses collect and utilize real-time data, driving efficiency, sustainability, and innovation. Yet, implementing IoT solutions comes with its own challenges—from navigating complex data management issues to ensuring seamless integration with existing infrastructure. How can companies leverage IoT to solve real-world problems while balancing technical and operational hurdles? Joining us to discuss the evolving IoT landscape is Petr Blabla, Head of IoT Solutions at Adastra, a leading provider of innovative technology solutions helping businesses harness the power of real-time data for smarter decision-making. 

Learn more about our IoT solutions: https://adastracorp.com/internet-of-things/

]]> The rise of the Internet of Things (IoT) is transforming how businesses collect and utilize real-time data, driving efficiency, sustainability, and innovation. Yet, implementing IoT solutions comes with its own challenges—from navigating complex data management issues to ensuring seamless integration with existing infrastructure. How can companies leverage IoT to solve real-world problems while balancing technical and operational hurdles? Joining us to discuss the evolving IoT landscape is Petr Blabla, Head of IoT Solutions at Adastra, a leading provider of innovative technology solutions helping businesses harness the power of real-time data for smarter decision-making. 

Learn more about our IoT solutions: https://adastracorp.com/internet-of-things/

]]> Mon, 10 Feb 2025 03:00:00 -0800 Adastra Adastra 1324 The rise of the Internet of Things (IoT) is transforming how businesses collect and utilize real-time data, driving efficiency, sustainability, and innovation. Yet, implementing IoT solutions comes with its own challenges—from navigating complex data management issues to ensuring seamless integration with existing infrastructure. How can companies leverage IoT to solve real-world problems while balancing technical and operational hurdles? Joining us to discuss the evolving IoT landscape is Petr Blabla, Head of IoT Solutions at Adastra, a leading provider of innovative technology solutions helping businesses harness the power of real-time data for smarter decision-making. 

Learn more about our IoT solutions: https://adastracorp.com/internet-of-things/

]]> No Cloud Stefan Lautenschlager (NETZSCH): First, Not Cloud Only—Moving to the Cloud was a Clear Strategic Decision for Us 7 7 Cloud Stefan Lautenschlager (NETZSCH): First, Not Cloud Only—Moving to the Cloud was a Clear Strategic Decision for Us full 08063202-82b2-40d7-b4f0-7392d6ce1235 https://share.transistor.fm/s/16f85bb6 Cloud migration and advanced analytics are redefining how businesses leverage data, enabling shifts from traditional product sales to innovative service models. However, moving to the cloud brings its own set of challenges—cultural, technical, and strategic. How can companies navigate this transformation while ensuring data quality and maximizing ROI? Joining us to share insights is Stefan Lautenschlager, Head of Business Intelligence and Analytics at NETZSCH, a mid-sized German manufacturing company embracing the cloud to unlock new opportunities. 

]]> Cloud migration and advanced analytics are redefining how businesses leverage data, enabling shifts from traditional product sales to innovative service models. However, moving to the cloud brings its own set of challenges—cultural, technical, and strategic. How can companies navigate this transformation while ensuring data quality and maximizing ROI? Joining us to share insights is Stefan Lautenschlager, Head of Business Intelligence and Analytics at NETZSCH, a mid-sized German manufacturing company embracing the cloud to unlock new opportunities. 

]]> Mon, 27 Jan 2025 03:00:00 -0800 Adastra Adastra 1873 Cloud migration and advanced analytics are redefining how businesses leverage data, enabling shifts from traditional product sales to innovative service models. However, moving to the cloud brings its own set of challenges—cultural, technical, and strategic. How can companies navigate this transformation while ensuring data quality and maximizing ROI? Joining us to share insights is Stefan Lautenschlager, Head of Business Intelligence and Analytics at NETZSCH, a mid-sized German manufacturing company embracing the cloud to unlock new opportunities. 

]]> No AI's integration into MDM shifts the focus of data teams towards more strategic issues, says Petr Žáček, Ataccama 6 6 AI's integration into MDM shifts the focus of data teams towards more strategic issues, says Petr Žáček, Ataccama full 3051b0e5-c051-447f-bbbd-c0259b21cefc https://share.transistor.fm/s/f903ca8f Master Data Management (MDM) and Artificial Intelligence (AI) are transforming the way businesses manage and utilize their data, promising unprecedented efficiency and insights. But integrating AI into MDM is not without its challenges. How can companies ensure data quality and maintain ownership in this new landscape? Our guest today is Petr Žáček, Director of Product Management at Ataccama, who will shed light on the evolving role of AI in MDM and its implications for businesses. 

]]> Master Data Management (MDM) and Artificial Intelligence (AI) are transforming the way businesses manage and utilize their data, promising unprecedented efficiency and insights. But integrating AI into MDM is not without its challenges. How can companies ensure data quality and maintain ownership in this new landscape? Our guest today is Petr Žáček, Director of Product Management at Ataccama, who will shed light on the evolving role of AI in MDM and its implications for businesses. 

]]> Mon, 06 Jan 2025 03:00:00 -0800 Adastra Adastra 2087 Master Data Management (MDM) and Artificial Intelligence (AI) are transforming the way businesses manage and utilize their data, promising unprecedented efficiency and insights. But integrating AI into MDM is not without its challenges. How can companies ensure data quality and maintain ownership in this new landscape? Our guest today is Petr Žáček, Director of Product Management at Ataccama, who will shed light on the evolving role of AI in MDM and its implications for businesses. 

]]> No Prove Personalization’s Business Value in Money, Not Just Marketing Metrics (Rasmus Houlind, Agillic) 5 5 Prove Personalization’s Business Value in Money, Not Just Marketing Metrics (Rasmus Houlind, Agillic) full 23924727-ded0-4434-952e-866dce09ea3e https://share.transistor.fm/s/57f19aaa What is personalization? And what is it not? How can we break the silos between it and business when it comes to personalization? We discussed the topic with Erasmus Houlind, Chief Experience Officer at Agillic.

]]> What is personalization? And what is it not? How can we break the silos between it and business when it comes to personalization? We discussed the topic with Erasmus Houlind, Chief Experience Officer at Agillic.

]]> Wed, 11 Dec 2024 01:00:00 -0800 Adastra Adastra 2311 What is personalization? And what is it not? How can we break the silos between it and business when it comes to personalization? We discussed the topic with Erasmus Houlind, Chief Experience Officer at Agillic.

]]> No Data Mesh Isn’t for Everyone: It Requires the Right Mindset and Organizational Structure, says Petr Žáček, Ataccama 4 4 Data Mesh Isn’t for Everyone: It Requires the Right Mindset and Organizational Structure, says Petr Žáček, Ataccama full f0cbef22-4cea-411b-8771-fd18bfc4a513 https://share.transistor.fm/s/a4589b8d It sounds great. Each business unit owns and manages its own data, making it available for the rest of the company. This approach is essential for data mesh. But can large companies really achieve that? How realistic is it? Our guest today is Petr Žáček, Director of Product Management at Ataccama.

]]> It sounds great. Each business unit owns and manages its own data, making it available for the rest of the company. This approach is essential for data mesh. But can large companies really achieve that? How realistic is it? Our guest today is Petr Žáček, Director of Product Management at Ataccama.

]]> Tue, 19 Nov 2024 01:00:00 -0800 Adastra Adastra 1433 It sounds great. Each business unit owns and manages its own data, making it available for the rest of the company. This approach is essential for data mesh. But can large companies really achieve that? How realistic is it? Our guest today is Petr Žáček, Director of Product Management at Ataccama.

]]> No Mazánek (Raiffeisenbank): We build data products and implement data mesh to enable business to be independent from IT 3 3 Mazánek (Raiffeisenbank): We build data products and implement data mesh to enable business to be independent from IT full a36c6aaf-bea6-41a2-9326-b4160bd3626a https://share.transistor.fm/s/88775570 He wants to create a world where businesses deliver real value without relying on IT. By democratizing data and creating a data mesh, he aims to achieve this vision. Get inspired by vision of Lukáš Mazánek, Chief Data Officer of Raiffeisenbank in the Czech Republic.

]]> He wants to create a world where businesses deliver real value without relying on IT. By democratizing data and creating a data mesh, he aims to achieve this vision. Get inspired by vision of Lukáš Mazánek, Chief Data Officer of Raiffeisenbank in the Czech Republic.

]]> Thu, 08 Aug 2024 01:00:00 -0700 Adastra Adastra 2668 He wants to create a world where businesses deliver real value without relying on IT. By democratizing data and creating a data mesh, he aims to achieve this vision. Get inspired by vision of Lukáš Mazánek, Chief Data Officer of Raiffeisenbank in the Czech Republic.

]]> No Czech Republic Develops Sophisticated Ecosystem for Efficient Management and Automation of Services, Says Joe Appleton of ABSL 2 2 Czech Republic Develops Sophisticated Ecosystem for Efficient Management and Automation of Services, Says Joe Appleton of ABSL full 44d88f6a-9b75-4bd1-b1fa-8713c2c55d1e https://share.transistor.fm/s/78cce6de The Association of Business Service Leaders (ABSL) was established in the Czech Republic ten years ago and currently represents over 100 member companies. How do these business service centers adapt to changes like digital transformation and sustainability to stay competitive, innovative, and resilient? There are some questions for Joe Appleton, Managing Director of ABSL.

]]> The Association of Business Service Leaders (ABSL) was established in the Czech Republic ten years ago and currently represents over 100 member companies. How do these business service centers adapt to changes like digital transformation and sustainability to stay competitive, innovative, and resilient? There are some questions for Joe Appleton, Managing Director of ABSL.

]]> Thu, 16 May 2024 01:00:00 -0700 Adastra Adastra 1162 The Association of Business Service Leaders (ABSL) was established in the Czech Republic ten years ago and currently represents over 100 member companies. How do these business service centers adapt to changes like digital transformation and sustainability to stay competitive, innovative, and resilient? There are some questions for Joe Appleton, Managing Director of ABSL.

]]> No Peter Rizvi (Cloudera): From Legacy to Leading - Government's Journey to Cloud-Driven Innovation 1 1 Peter Rizvi (Cloudera): From Legacy to Leading - Government's Journey to Cloud-Driven Innovation full e1c01aa2-340f-4244-ab5d-3d5c5d8b92c0 https://share.transistor.fm/s/4bfd6035 Cloudera is a hybrid data platform that operates in various cloud environments as well as on-premises. It provides secure data management and cloud-native data analytics. What are the experiences with clients from the public sector? We're going to discuss this with our guest, Peter Rizvi, account executive at Cloudera.

]]> Cloudera is a hybrid data platform that operates in various cloud environments as well as on-premises. It provides secure data management and cloud-native data analytics. What are the experiences with clients from the public sector? We're going to discuss this with our guest, Peter Rizvi, account executive at Cloudera.

]]> Thu, 25 Apr 2024 00:00:00 -0700 Adastra Adastra 1734 Cloudera is a hybrid data platform that operates in various cloud environments as well as on-premises. It provides secure data management and cloud-native data analytics. What are the experiences with clients from the public sector? We're going to discuss this with our guest, Peter Rizvi, account executive at Cloudera.

]]> No