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!
Jay Subramanian - GM of Core Storage Platforms at Hitachi Vantara - Beyond Complexity in IT
CIONET
50 minutes 51 seconds
9 months ago
Jay Subramanian - GM of Core Storage Platforms at Hitachi Vantara - Beyond Complexity in IT
Listen to the full #LeadershipDeepDive interview with Jay Subramanian, GM of Core Storage Platforms at Hitachi Vantara, who will be our panellist at CIONEXT | Mastering Complexity on the 19th of February! It’s high time to register 👉 www.cionext.com/20 and join us for the discussion on:
✔️ The Future of Mission-Critical Apps (and why it starts with the data)
✔️ The Power of Super Adaptability (diving into scalable data platforms)
✔️ Balancing Security and Rapid Innovation (how platforms bring the best of all worlds)
In this episode, Hendrik Deckers speaks with Jay Subramanian about fostering innovation and tackling key IT challenges, including hybrid cloud environments, diverse applications, and distributed workforces in an era of exponential data growth.
Jay emphasizes that while hybrid cloud enhances flexibility, it demands realistic planning, clear objectives, and a strategic approach to cost and risk management. He highlights the critical role of infrastructure consolidation and resource optimization, advocating for right-sizing and flexible "as-a-service" models in environments where data volume volatility is inevitable.
How can organizations optimize resources and manage costs while maintaining flexibility in data management? Do regulations like DORA and US DoD standards enhance security, or do they hinder growth? Listen to the full interview to find out!
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!
