{"id":8437,"date":"2026-11-04T12:09:25","date_gmt":"2026-11-04T11:09:25","guid":{"rendered":"https:\/\/www.netica.si\/?p=8437"},"modified":"2026-11-08T15:11:11","modified_gmt":"2026-11-08T14:11:11","slug":"netica-at-automa-2026-advancing-trustworthy-ai-in-pharma","status":"publish","type":"post","link":"https:\/\/www.netica.si\/si\/netica-at-automa-2026-advancing-trustworthy-ai-in-pharma\/","title":{"rendered":"Netica at AUTOMA+ 2026: Advancing Trustworthy AI in Pharma"},"content":{"rendered":"

\n

Netica at AUTOMA+ 2026: Advancing Trustworthy AI in Pharma<\/h1>\n

Netica joins the Pharmaceutical Automation and Digitalization Congress in Zurich, where Ga\u0161per D. Romih, PhD, will address a critical challenge: maintaining the quality of AI-generated outputs as the underlying knowledge evolves.<\/strong><\/p>\n

\"Ga\u0161per<\/a>

Ga\u0161per D. Romih, PhD, will present \u201cQuality Beyond Generation: Auditing AI Outputs as Knowledge Changes\u201d at AUTOMA+ 2026 in Zurich on 17 November.<\/p><\/div>\n

Where pharma innovation meets operational reality<\/h2>\n

On 16\u201317 November 2026, AUTOMA+<\/strong><\/a> brings together pharmaceutical industry leaders, technology specialists, and digital transformation experts in Zurich, Switzerland.<\/p>\n

The congress explores how automation, artificial intelligence, advanced analytics, and digital technologies are transforming pharmaceutical operations, from research and laboratory processes to manufacturing, quality, and supply chains.<\/p>\n

Beyond technological innovation, a central challenge is turning promising digital solutions into reliable, scalable applications that work within highly regulated environments. <\/strong>This is where Netica brings a relevant perspective.<\/p>\n

Why Netica is part of the conversation<\/h2>\n

With experience in data integration, quality, governance, and enterprise solutions across highly regulated sectors such as pharmaceuticals and financial services, Netica understands that successful digital transformation requires more than connecting systems or deploying new technologies.<\/p>\n

Data must be reliable, traceable, properly governed, and suitable for its intended use. These principles become even more important as organizations introduce AI into business-critical workflows. While pharmaceutical and financial regulations differ, both environments demand strong controls, accountability, and confidence in the information supporting decisions, especially when the input data changes for whatever reason.<\/p>\n

At Netica, we turn fragmented enterprise data into trusted, reusable data products and support their quality throughout their lifecycle.<\/p>\n

Quality Beyond Generation: <\/strong>Ga\u0161per’s session<\/h2>\n

At AUTOMA+ 2026, Ga\u0161per D. Romih, PhD, Head of Development at Netica<\/strong>, will address one of the hottest topics in the go-to AI-ready era: Quality Beyond Generation: Auditing AI Outputs as Knowledge Changes.\u00a0 <\/strong><\/p>\n

AI-generated reports may be evaluated when they are first produced. But what happens when the source records, supporting evidence, or business knowledge behind those reports change? Ga\u0161per’s session will explore why output quality cannot be a one-time check and how evidence traceability, change awareness, and ongoing assessment can help organizations identify AI-generated outputs that may need review.<\/p>\n

Why this matters? The topic reflects a broader challenge for regulated industries: moving from generating AI outputs to managing their reliability over time.<\/strong><\/p>\n

Visit Ga\u0161per’s session @ AUTOMA+ 2026<\/h2>\n

17 November 2026 | 12:50\u201313:10<\/strong>
\nM\u00f6venpick Hotel Z\u00fcrich Regensdorf, Switzerland<\/strong><\/h4>\n

Let’s meet at Automa+, Booth No. 6.<\/h2>\n

Connect on LinkedIn: Igor Smirnov<\/a> and Ga\u0161per D. Romih<\/a><\/p>\n

\"The<\/a>

AUTOMA+ 2026 is a premier pharmaceutical congress focused on the digital transformation of the industry.<\/p><\/div>\n<\/div><\/div><\/div><\/div><\/div>

<\/div><\/div><\/div><\/div>
<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/p>","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[107],"tags":[191,196,144,182,194,192,193,195,67],"class_list":["post-8437","post","type-post","status-publish","format-standard","hentry","category-news","tag-191","tag-ai-audit","tag-automa","tag-data-quality","tag-data-trust","tag-gasper-d-romih","tag-igor-smirnov","tag-knowledge-changes","tag-netica"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.netica.si\/si\/wp-json\/wp\/v2\/posts\/8437","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.netica.si\/si\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.netica.si\/si\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.netica.si\/si\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.netica.si\/si\/wp-json\/wp\/v2\/comments?post=8437"}],"version-history":[{"count":10,"href":"https:\/\/www.netica.si\/si\/wp-json\/wp\/v2\/posts\/8437\/revisions"}],"predecessor-version":[{"id":8451,"href":"https:\/\/www.netica.si\/si\/wp-json\/wp\/v2\/posts\/8437\/revisions\/8451"}],"wp:attachment":[{"href":"https:\/\/www.netica.si\/si\/wp-json\/wp\/v2\/media?parent=8437"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.netica.si\/si\/wp-json\/wp\/v2\/categories?post=8437"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.netica.si\/si\/wp-json\/wp\/v2\/tags?post=8437"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}