{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6846e583cca944a48e6715d3/6adb3786d735b999b072ccfe?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"CPHI Milan 2026 Newsbeat: AI's $30m Yield Boost In Pharma Manufacturing - Pep Gubau","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/6846e583cca944a48e6715d3/1792751432360-2fb790a9-2fce-4622-8ccd-1f19a1c7a0b7.jpeg?height=200","description":"<p>For Pep Gubau, AI is ready for pharma manufacturing, and the results are already measurable: one of Aizon&#39;s early adopters, a plasma derivatives manufacturer, raised its yield by 4% in three months, worth $30 million. This year CPHI gave AI a dedicated zone of its own.</p><p><br></p><p>On Newsbeat, live at CPHI Milan 2026, Ruby Collier spoke to Pep Gubau, CEO and Founder of Aizon, about where AI is delivering results in pharma manufacturing.</p><p><br></p><p>In this episode, Pep covers:</p><p><br></p><p>(00:31) What a dedicated AI zone at CPHI means to a company that has focused on AI for pharma manufacturing for more than 12 years, and the interest now coming from manufacturers.</p><p><br></p><p>(02:20) Why the manufacturing floor needs deterministic machine learning rather than large language models, and how digital capacity raises yield and avoids deviations.</p><p><br></p><p>(04:32) Where language models are useful, where machine learning belongs in GMP, and why, for the first time in his 40 years in pharma, he sees regulators such as the FDA and EMA ahead of the industry.</p><p><br></p><p>(07:23) Two results: a 4% yield increase worth $30 million in three months for a plasma derivatives manufacturer, and a CDMO that brought its deviation batches down to zero with predictive analytics.</p><p><br></p><p>Watch the full episode to hear why Pep sees change management as the real work in adopting AI, and showing value as the way to win people over.</p><p><br></p><p>Register your interest for CPHI Frankfurt 2027 here: https://www.cphi.com/europe/register-attend/?utm_source=partner&amp;utm_medium=referral&amp;utm_campaign=hln27cpw-cl-arto</p><p><br></p><p>Follow ARTO</p><p><br></p><p>LinkedIn: https://www.linkedin.com/company/artotalent/</p><p>Spotify: https://open.spotify.com/show/0kEcRZOiJChOoN1KF2n1ng</p><p>Instagram: https://www.instagram.com/arto.talent</p><p>TikTok: https://www.tiktok.com/@artotalent</p><p>Apple Podcasts: https://podcasts.apple.com/us/podcast/leading-beyond-the-lab/id1783115575</p><p>Website: https://arto-talent.com/</p><p>Youtube: https://www.youtube.com/@artotalent</p><p><br></p><p>Pep Gubau</p><p>LinkedIn: https://www.linkedin.com/in/jgubau/</p><p><br></p><p>Ruby Collier</p><p>LinkedIn: https://www.linkedin.com/in/ruby-collier/</p><p><br></p><p>Timestamps:</p><p>00:00 Introduction</p><p>02:07 How AI is changing pharma manufacturing</p><p>04:19 Hype versus reality</p><p>07:09 Results so far and what comes next</p><p>10:27 Closing thoughts</p><p><br></p><p>#Newsbeat #ARTOTalent #CPHI #CPHIMilan #AIinPharma #PharmaManufacturing #MachineLearning #GMP</p>","author_name":"ARTO Talent"}