{"id":2362,"date":"2026-04-29T11:23:48","date_gmt":"2026-04-29T09:23:48","guid":{"rendered":"https:\/\/www.tdwi.fi\/blog\/?p=2362"},"modified":"2026-04-29T13:24:52","modified_gmt":"2026-04-29T11:24:52","slug":"20-5-2026-semantically-consistent-artificially-intelligent-enterprise-mike-ferguson","status":"publish","type":"post","link":"https:\/\/www.tdwi.fi\/blog\/20-5-2026-semantically-consistent-artificially-intelligent-enterprise-mike-ferguson\/","title":{"rendered":"20.5.2026 \u2013 Building a Semantically Consistent Artificially Intelligent Enterprise \u2013 Mike Ferguson"},"content":{"rendered":"<p id=\"top\" \/>\r\n<p>on Wednesday 20 May at 14:50 (2:50 PM) Helsinki time. Teams meeting.<\/p>\r\n\r\n\r\n\r\n<p>Keskiviikkona <strong>20.5.<\/strong> klo <strong>14:50<\/strong> (Teams lobby).\u00a0Linkki l\u00e4hetet\u00e4\u00e4n ilmoittautuneille ennen tapahtumaa. Link to be sent to registered participants before the event.<\/p>\r\n\r\n\r\n\r\n\r\n\r\n<p><strong>15:00 <\/strong>(Helsinki time) \u2013 <strong>Mike Ferguson \u2013 Building a Semantically Consistent Artificially Intelligent Enterprise \u2013<\/strong><\/p>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n<p>As the adoption of AI skyrockets, it\u2019s very easy to lose sight of what you\u2019re trying to build and how it should fit together to drive value in your business. Companies need to be able to incrementally build data products, business intelligence, machine learning models, and AI agents and bring them together to be used in the context of specific tasks in different processes across the enterprise to drive value. They also need to make data AI ready and ensure all AI-Agents have access to common semantics for consistent understanding of data meaning, data relationships and relevant information.\r\n<\/p>\r\n\r\n\r\n<p>In this keynote presentation, Mike Ferguson walks through what needs to be done to build an artificially intelligent enterprise and achieve consistent semantics for consistent AI-Agent reasoning. You will gain insights into the strategic, technical, and organisational requirements for harnessing data and AI to transform business operations and deliver measurable value. You will also get an idea how an enterprise semantic layer can be implemented to provide consistent meaning for both people and AI Agents.<\/p>\r\n\r\n\r\n\r\n<p>Takeaways:<\/p>\r\n<ul>\r\n<li>The Roadmap to AI-Driven Business: Understand the demand, challenges, and vision for becoming a data and AI-driven organisation.<\/li>\r\n<li>Building Blocks of the Intelligent Enterprise: Learn what technologies, architectures, and governance frameworks are essential to support integrated data and AI initiatives.<\/li>\r\n<li>Incremental Development for Maximum Impact: Discover how to empower democratised teams to build data products, ML models, AI-ready knowledgebases and AI agents iteratively while staying aligned with business outcomes.<\/li>\r\n<li>Implementing an Enterprise Semantic Layer for Consistent Meaning and Context: Aligning data concepts, data relationships, business glossary terms, data products, taxonomy and ontology and creating a knowledge graph that provides consistent meaning and context to both people and AI agents across the enterprise.<\/li>\r\n<li>From Insights to Action: Explore strategies to enable AI-Agent collaboration, agentic workflow and to integrate analytics, AI agents, and machine learning into applications and processes for actionable, enterprise-wide impact.<\/li>\r\n<\/ul>\r\n<!-- \/wp:post-content -->\r\n\r\n<!-- wp:image {\"id\":2257,\"sizeSlug\":\"full\",\"linkDestination\":\"media\",\"align\":\"left\"} -->\r\n<p><a href=\"https:\/\/www.tdwi.fi\/blog\/wp-content\/uploads\/2026\/04\/Mike-Ferguson.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-2363 alignleft\" src=\"https:\/\/www.tdwi.fi\/blog\/wp-content\/uploads\/2026\/04\/Mike-Ferguson-300x285.jpg\" alt=\"\" width=\"109\" height=\"103\" \/><\/a><\/p>\r\n<!-- \/wp:image -->\r\n\r\n<!-- wp:paragraph -->\r\n<p><strong>Mike Ferguson <\/strong>is CEO of Intelligent Business Strategies Limited. As an independent IT industry analyst and consultant, Mike specialises in data management, analytics and AI. With over 40 years of IT experience, he has consulted for dozens of companies on data and AI strategy, data and AI technology selection, modern data and enterprise architecture, data management, data products and data marketplaces, data and AI governance, enterprise semantics, and AI. Mike is also conference chairman of Big Data LDN, the largest data and analytics conference in Europe and a member of the EDM Council CDMC Executive Advisory Board.<\/p>\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:paragraph -->\r\n<p>Tapahtumamme p\u00e4\u00e4ttyy viimeist\u00e4\u00e4n 16:30. Our event ends at about 4:30 pm Helsinki time.<\/p>\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:paragraph -->\r\n<p><strong>Registrations by e-mail:<\/strong> <a href=\"mailto:info@tdwi.fi?subject=Ilmoittautuminen%20TDWI%20Finland%20-%2020.5.%20-%20\" target=\"_blank\" rel=\"noreferrer noopener\">info@tdwi.fi<\/a>. Mik\u00e4li et viel\u00e4 ole <a href=\"http:\/\/www.tdwi.fi\/jasenyys-membership\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">yhdistyksen j\u00e4sen<\/a>, mutta haluat liitty\u00e4 ja samalla ilmoittautua tilaisuuteen: <a href=\"mailto:info@tdwi.fi?subject=Ilmoittautuminen%20TDWI%20Finland%20-%2020.5.%20-%20ja%20LIITYN%20J\u00c4SENEKSI%20samalla\" target=\"_blank\" rel=\"noreferrer noopener\">info@tdwi.fi<\/a><\/p>\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:paragraph -->\r\n<p><em>Tervetuloa! Welcome!<\/em><\/p>\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:paragraph -->\r\n<p><em>Petri Hakanen, chairman<\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>on Wednesday 20 May at 14:50 (2:50 PM) Helsinki time. Teams meeting. Keskiviikkona 20.5. klo 14:50 (Teams lobby).\u00a0Linkki l\u00e4hetet\u00e4\u00e4n ilmoittautuneille ennen tapahtumaa. Link to be sent to registered participants before the event. 15:00 (Helsinki time) \u2013 Mike Ferguson \u2013 Building a Semantically Consistent Artificially Intelligent Enterprise \u2013 As the adoption of AI skyrockets, it\u2019s very [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2363,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[652,461,705],"tags":[743],"class_list":["post-2362","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-analytics","category-data-architecture","tag-ai-enterprise"],"_links":{"self":[{"href":"https:\/\/www.tdwi.fi\/blog\/wp-json\/wp\/v2\/posts\/2362","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tdwi.fi\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tdwi.fi\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tdwi.fi\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tdwi.fi\/blog\/wp-json\/wp\/v2\/comments?post=2362"}],"version-history":[{"count":12,"href":"https:\/\/www.tdwi.fi\/blog\/wp-json\/wp\/v2\/posts\/2362\/revisions"}],"predecessor-version":[{"id":2379,"href":"https:\/\/www.tdwi.fi\/blog\/wp-json\/wp\/v2\/posts\/2362\/revisions\/2379"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tdwi.fi\/blog\/wp-json\/wp\/v2\/media\/2363"}],"wp:attachment":[{"href":"https:\/\/www.tdwi.fi\/blog\/wp-json\/wp\/v2\/media?parent=2362"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tdwi.fi\/blog\/wp-json\/wp\/v2\/categories?post=2362"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tdwi.fi\/blog\/wp-json\/wp\/v2\/tags?post=2362"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}