In this episode of the CIONET Podcast, Hendrik Deckers interviews Giuseppe Ficara, Senior Director and Global Head of Data and AI at Amplifon in Milano, Italy, the nominee in the Data & AI category. Register here to find out who wins this prestigious title 👉 https://www.cionet.com/events/cionet-awards-2026-part-1!
Giuseppe is leading a transformative data and AI initiative at Amplifon, a global leader in hearing care with over 20,000 employees. Giuseppe shares the story of how Amplifon moved past foundational data challenges following a complex cloud migration to spearhead a critical AI-driven phase of data governance. The company faced a deficit in internal knowledge after integrating 16 different data platforms over four years. He explains that the transformation was essential to transition Amplifon from a reactive to a proactive data governance model.
Giuseppe emphasises the dramatic results of their AI-first approach, including a 90% reduction in the effort and cost of the data governance program by leveraging AI for the 'back office' definition work and asking human stakeholders only to review the output. Their efforts also led to a 15% reduction in cloud spending for the data ecosystem by optimizing data pipelines. Throughout the conversation,
Giuseppe reveals how Amplifon prioritised the engagement of the final stakeholder to successfully build the new capability. He discusses the three core objectives: reducing technical debt, internalising knowledge, and changing the data governance approach. He further explains how setting up the AI platform and architecture has created a long-term capability for scaling AI responsibly in compliance with regulations like the AI Act.
Don’t miss the panel where Giuseppe will share more about his AI journey, powered by our trusted partner, Splunk 👉 https://www.cionet.com/events/cionet-awards-2026-part-1!
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In this episode of the CIONET Podcast, Hendrik Deckers interviews Giuseppe Ficara, Senior Director and Global Head of Data and AI at Amplifon in Milano, Italy, the nominee in the Data & AI category. Register here to find out who wins this prestigious title 👉 https://www.cionet.com/events/cionet-awards-2026-part-1!
Giuseppe is leading a transformative data and AI initiative at Amplifon, a global leader in hearing care with over 20,000 employees. Giuseppe shares the story of how Amplifon moved past foundational data challenges following a complex cloud migration to spearhead a critical AI-driven phase of data governance. The company faced a deficit in internal knowledge after integrating 16 different data platforms over four years. He explains that the transformation was essential to transition Amplifon from a reactive to a proactive data governance model.
Giuseppe emphasises the dramatic results of their AI-first approach, including a 90% reduction in the effort and cost of the data governance program by leveraging AI for the 'back office' definition work and asking human stakeholders only to review the output. Their efforts also led to a 15% reduction in cloud spending for the data ecosystem by optimizing data pipelines. Throughout the conversation,
Giuseppe reveals how Amplifon prioritised the engagement of the final stakeholder to successfully build the new capability. He discusses the three core objectives: reducing technical debt, internalising knowledge, and changing the data governance approach. He further explains how setting up the AI platform and architecture has created a long-term capability for scaling AI responsibly in compliance with regulations like the AI Act.
Don’t miss the panel where Giuseppe will share more about his AI journey, powered by our trusted partner, Splunk 👉 https://www.cionet.com/events/cionet-awards-2026-part-1!
Kalman Tiboldi - Founder at GemOne-TVH - Why Complexity Is the Real IT Challenge
CIONET
1 hour 23 minutes 1 second
5 months ago
Kalman Tiboldi - Founder at GemOne-TVH - Why Complexity Is the Real IT Challenge
This February, CIONET hosted CIONEXT | Mastering Complexity, powered by Hitachi Vantara. We’re thrilled to present a new episode of our #LeadershipDeepDive series, featuring Kalman Tiboldi, CTO and Founder at GemOne–TVH.
In this insightful conversation, Hendrik Deckers explores why mastering technological complexity is essential to future-proofing businesses. Kalman shares how TVH is transitioning away from legacy systems toward a capability-based architecture, built on a composite model that focuses internal development on core differentiating systems.
He emphasizes the importance of simplification—untangling legacy “spaghetti” architectures and removing unnecessary layers. Data, he says, must be treated as a strategic asset: governed centrally and managed via data fabric and virtualization to ensure AI readiness without duplicating datasets.
On the infrastructure side, TVH is executing a cloud-first strategy, gradually moving toward full cloud adoption while currently operating in a hybrid environment.
For Kalman, AI is not the destination, but a tool—used to improve decision-making, boost productivity, and turn static manuals into intelligent knowledge sources. Looking ahead, he envisions AI agents automating business logic and enabling autonomous enterprises, while preserving the unique role of human intuition.
Curious to learn more? Watch the full interview now!
CIONET
In this episode of the CIONET Podcast, Hendrik Deckers interviews Giuseppe Ficara, Senior Director and Global Head of Data and AI at Amplifon in Milano, Italy, the nominee in the Data & AI category. Register here to find out who wins this prestigious title 👉 https://www.cionet.com/events/cionet-awards-2026-part-1!
Giuseppe is leading a transformative data and AI initiative at Amplifon, a global leader in hearing care with over 20,000 employees. Giuseppe shares the story of how Amplifon moved past foundational data challenges following a complex cloud migration to spearhead a critical AI-driven phase of data governance. The company faced a deficit in internal knowledge after integrating 16 different data platforms over four years. He explains that the transformation was essential to transition Amplifon from a reactive to a proactive data governance model.
Giuseppe emphasises the dramatic results of their AI-first approach, including a 90% reduction in the effort and cost of the data governance program by leveraging AI for the 'back office' definition work and asking human stakeholders only to review the output. Their efforts also led to a 15% reduction in cloud spending for the data ecosystem by optimizing data pipelines. Throughout the conversation,
Giuseppe reveals how Amplifon prioritised the engagement of the final stakeholder to successfully build the new capability. He discusses the three core objectives: reducing technical debt, internalising knowledge, and changing the data governance approach. He further explains how setting up the AI platform and architecture has created a long-term capability for scaling AI responsibly in compliance with regulations like the AI Act.
Don’t miss the panel where Giuseppe will share more about his AI journey, powered by our trusted partner, Splunk 👉 https://www.cionet.com/events/cionet-awards-2026-part-1!
