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- gain an integrated understanding of data platforms, generative AI, and advanced analytics<\/li>\n
- develop the skills needed to engage effectively with technical experts and lead Data & AI initiatives<\/li>\n<\/ul>\n
For your company:<\/strong><\/span><\/p>\n
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- build reliable, governed data foundations that are ready for AI adoption<\/li>\n
- turn data, architectures, and governance into tangible, scalable, and sustainable business value<\/li>\n<\/ul>\n
\u201cWhat does it really take to embed AI effectively, reliably, and responsibly into business processes?\u201d<\/strong><\/p>\n
In today\u2019s competitive environment, Artificial Intelligence<\/strong> is not simply a technology enabler, but a strategic driver of business transformation. The real critical success factor, however, does not lie in algorithms alone. It lies in an organization\u2019s ability to rely on data that is trustworthy, integrated, governed, and ready to be used at scale.<\/p>\n
Without a data architecture capable of supporting the most innovative use cases, a semantic layer that makes data accessible even to autonomous agents, and a clear strategy defining roles, processes, and responsibilities, AI risks remaining confined to experimentation or becoming an unfulfilled promise. Developing an AI-Ready Data Platform<\/strong> is therefore a strategic priority for organizations seeking to turn data into tangible, scalable, and sustainable value.<\/p>\n
The AI-Ready Data Platform: Architectures, Agents and Governance<\/strong> program, developed in partnership with Iconsulting<\/strong>, is designed not only as an opportunity to update participants\u2019 technological knowledge, but also as a pathway to developing a new data culture<\/strong>\u2014an essential capability for competing in the digital economy and turning AI into a genuine engine for growth and innovation.<\/p>\n
The program provides an integrated managerial and technological perspective<\/strong>, enabling business decision-makers to understand the architectures, capabilities, and operating models required to build a modern data platform capable of supporting generative AI and advanced analytics initiatives.<\/p>\n
Starting from the foundations of data management, participants will explore concepts such as Data Lakehouse, Vector Stores, and Knowledge Graphs<\/strong>, before moving on to Machine Learning<\/strong> and emerging paradigms including Generative AI<\/strong> and Agentic AI<\/strong>.<\/p>\n
The program concludes with a module dedicated to Data & AI Strategy and Governance<\/strong>, bringing together all the topics covered within a coherent framework of methodologies, organizational models, and governance mechanisms. These elements are essential for bringing generative and agentic AI into production in a controlled, informed, and responsible way.<\/p>\n
The program is designed for CIOs, managers, and data leaders who want to develop an integrated and up-to-date understanding<\/strong> of data platforms and AI as two mutually reinforcing components of the same enterprise ecosystem.<\/p>\n
Through real-world cases and practical application scenarios, participants will acquire the tools required to lead the data-driven transformation of their organizations, assess strategic investments, and build technology ecosystems that are genuinely ready for AI adoption.<\/p>\n
If you want to address the challenges that AI is creating for organizations, contact the Program Management team to discuss your participation.<\/em><\/p>\n
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Accreditation<\/strong><\/p>\n
![\"EQUIS\"](\"https:\/\/www.bbs.unibo.it\/wp-content\/uploads\/2021\/10\/equis.png\")
<\/p>\nBologna Business School is\u00a0EQUIS \u2013 EFMD Quality Improvement System<\/strong>\u00a0accredited, one of the most important international quality assessment and continuous improvement systems for Schools of Management and Business Administration.<\/p>\n
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![](\"https:\/\/www.bbs.unibo.it\/wp-content\/uploads\/2026\/05\/FT_2026_BUSINESSEDUCATION_EXECUTIVEEDUCATION_RANKING_RGB-scaled.png\")
<\/p>\nBologna Business School\u2019s Open Programs are included in the Financial Times Ranking, Executive Education category, 2026.<\/p>\n