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4th. Edition TBMS<\/strong>\u20192026<\/strong><\/h3>\n

Int. Symposium on “Big Data Analytics Technologies for Strategic Management” :<\/strong><\/h3>\n

Data-Driven Strategic Governance and Predictive Analytics in Complex Systems.<\/h4>\n

in\u00a0OCTA\u20192026 Multi-Conference<\/a>\u00a0Event :<\/h3>\n

October 30-31 & November 1, 2026 Al-Hoce\u00efma (Morocco)<\/h4>\n\n\n
Important Dates<\/strong><\/th>Deadline<\/strong><\/th><\/tr><\/thead>
Paper Submission<\/strong> : deadline<\/td>Septembre 10th., 2026<\/td><\/tr>
Notification of Acceptance<\/strong> : deadline<\/td>Septembre 20th., 2026<\/td><\/tr>
Final Paper & Camera-Ready<\/strong> Submission <\/strong><\/td>October 1st., 2026<\/td><\/tr>
Author Registration <\/strong>: deadline<\/td>October 10th., 2026<\/td><\/tr>
CITED\u20192026 <\/strong>in OCTA’2026 Int. Multi-Conference days :<\/td>October, 30-31 & November 1, 2026<\/td><\/tr>
Best Paper Awards Ceremony<\/strong> : date<\/td>November 1, 2026<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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  • Download the Call for Papers (CFP) here : <\/strong>TBMS\u20192026<\/li>\n<\/ul>\n\n\n\n
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    • Description: TBMS\u20192026  \u201c <\/strong>Big-Data-Analytics Technologies for Strategic Management \u201d<\/strong> : Data-Driven Strategic Governance and Predictive Analytics in Complex Systems.<\/em><\/li>\n<\/ul>\n\n\n\n

      Governments, companies, and organizations are undergoing significant transformations in response to the vast amounts of information generated in today\u2019s digital age. This marks the advent of Big Data and, more recently, Generative Artificial Intelligence (Generative AI)<\/strong>. Various economic, industrial, and social actors are fundamentally restructuring their activities around the management and utilization of Big Data, now enhanced by AI-driven generative models. Examples include the emergence of the \u201cChief Data Officer\u201d in the United States, the \u201cChief Digital Officer\u201d responsible for the \u201cGovernment Digital Service\u201d in the United Kingdom, and the \u201cGeneral Data Administrator\u201d in France. These public administrators play a crucial role in ensuring that data is leveraged as a valuable resource, representing both tangible and intangible growth opportunities that have been either unexplored or only partially utilized.<\/p>\n\n\n\n

      The academic world has embraced Big Data and Generative AI with even greater enthusiasm. Following in the footsteps of pioneering institutions such as the Massachusetts Institute of Technology\u2019s (MIT) Media Lab (established in 1985), many universities have established dedicated research centers focused on the evolving field of Data Science and AI. In the humanities and social sciences, the emergence of \u201cBig Data and Society\u201d seeks to analyze Big Data and AI-driven advancements and their impact on societal structures. These developments highlight the practical implications of Big Data and Generative AI, reconfiguring relationships, expertise, methodologies, concepts, and academic knowledge across various sectors, including social, professional, and business domains.<\/p>\n\n\n\n

      While Big Data, AI and Generative AI have garnered significant interest, they have also sparked multidisciplinary debate. Not everyone shares the enthusiasm of its proponents. The repeated disclosures of mass surveillance programs have raised concerns in both academic and civil society circles regarding the potential risks associated with these technologies. AI and Big Data can quickly evolve into powerful governance tools, serving economic, political, and ideological interests in an instrumental manner.<\/p>\n\n\n\n

      We now have access to more data than at any other point in human history. Between 1987 and 2007, global data volumes increased a hundredfold and have since doubled annually on average. This expansion surpasses even the transformative impact of the printing press, which led to a doubling of available data over a period of 50 years.<\/p>\n\n\n\n

      Comprehensive analysis of extensive datasets, powered by Generative AI, has the potential to fundamentally reshape our understanding of the world. The rise of Big Data and AI contributes to advancing reason and rationality in an increasingly complex environment. Traditionally, the scientific method relies on deriving concrete hypotheses from abstract theories, which are then tested using empirical data. Big Data and AI challenge and extend these epistemological foundations, not to undermine scientific rationality, but to elevate it to a more complex, comprehensive, and accurate interpretation of reality.<\/p>\n\n\n\n

      In this transdisciplinary context, Big Data and Generative AI enable researchers and practitioners to move beyond predefined analytical categories, allowing data itself to reveal patterns and classifications that more accurately reflect reality. Under the umbrella Theme<\/strong> “Data-Driven Strategic Governance and Predictive Analytics in Complex Systems<\/em><\/strong>“, it focuses on: AI-enhanced strategic management ; Predictive and prescriptive analytics ; Risk modeling in volatile environments ; Digital twins for organizational strategy ; and Big Data ethics and algorithmic accountability. It addresses global challenges of uncertainty, complexity, and strategic agility in public and private sectors.<\/p>\n\n\n\n

      Academic & Sponsor Labels:<\/strong><\/h3>\n\n\n\n