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!
Jesús Oliva, Head of Data & AI at Moeve - From Data Challenges to AI Leadership
CIONET
41 minutes 42 seconds
1 week ago
Jesús Oliva, Head of Data & AI at Moeve - From Data Challenges to AI Leadership
In this episode of the CIONET Podcast, Hendrik Deckers interviews Jesús Oliva, Head of Data & AI at Moeve, who is a nominee for the CIONET Awards 2026 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!
Jesús shares the story of how he took Moeve from foundational data challenges to leading the way in industrial AI implementation, delivering tens of millions in value. He emphasizes the importance of value over volume in AI projects and shares how his team proved that AI could drive tangible business results, including a 300% ROI from their first pilot.
Throughout the conversation, Jesús reveals how Moeve prioritized data democratization and AI accessibility to create a data-driven culture across the organization. He discusses the three pillars that guided the transformation: building robust data foundations, democratizing data access, and demonstrating tangible business value through AI.
Jesús also dives into the modular approach that underpins Moeve’s AI strategy, stressing how modularity in AI development ensures scalability and sustainability across projects. He further explains how Moeve’s responsible AI practices, coupled with their AI governance framework, have ensured the company’s AI initiatives are ethical and effective at scale.
Don’t miss the panel where Jesús will share more about his AI journey, powered by our trusted partner, Splunk 👉 https://www.cionet.com/events/cionet-awards-2026-part-1!
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!
