Marita Huaman Peralta shares a case study of a Peruvian Health Services Company that has successfully transformed its business into a data-driven model, emphasising the importance of data management, governance, and literacy in the Fourth Industrial Revolution. ‘A Success case of roadmap to Data-Driven Business in Health Services Company’ explores implementing predictive analytics, strategic planning, and data modelling. The case study follows the company, referred to as Acme, as it has been able to identify and address business problems while aligning data strategy with corporate strategy. Acme’s focus on occupational health in mining companies, visionary health monitoring, and client relationships have enhanced its business model and operational processes. Marita talks about their utilisation of CRM software for medical data storage, along with data literacy training and segmentation, and how this has been instrumental in Acme’s success.

Dr. Barry Devlin compares and contrasts various data architecture approaches, including Data Fabric, Data Lake House, and Data Mesh. It explores the evolution of data architecture in IBM, data flow and architecture in information preparation, and the pros and cons of the Data Fabric approach. Additionally, it discusses the challenges of metadata, the concept of Data Mesh, and analysis of Data Mesh Architecture. The webinar concerns using AI and ML in solving metadata problems, complexity and chaos in data management, and the complexity of finding solutions in cloud data warehousing.

This webinar outlines a comprehensive framework for effective Data and Information Management, focusing on a practical use case involving student apprenticeships within a new digital application project. Marco Wobben demonstrates information modelling and database structures, data semantics, and constraints in data architecture. The integration of advanced tools such as ChatGPT and data warehouse builders enhances the management and analysis of information.

Additionally, Marco emphasizes the significance of international language modelling and translation in software development, alongside strategies for temporal data tracking and communication. Understanding and meeting data requirements is critical, blending business strategy with technical data management practices, ultimately driving success through effective data modelling and the alignment of business language with technological capabilities.

‘Unveiling the Core of Data Strategy Aligning with Business Goals’ focuses on the critical elements of building a comprehensive data strategy. Emphasising the importance of integrating business architecture in data strategy, Howard Diesel highlights the role of data management, implementation of the Porter model, business capabilities, and enterprise data modelling. He addresses identifying critical data elements and outlines strategies for automating data sharing and integration. Specifically tailored for the healthcare sector, the webinar delves into the significance of value streams in healthcare and the challenges associated with streamlining healthcare processes. Moreover, Howard stresses the need to quantify data value to optimise healthcare operations effectively.

This webinar highlights the importance of metadata, understanding FAIR, and developing a CDO self-measurement tool for effective data access and management. Howard Diesel emphasises the need for integration, shared understanding, and trust in data management and elaborates on change control, effective knowledge management, and learning measurement. The webinar also focuses on the significance of fair data principles, advanced data management practices, and the challenges and principles of open data. Furthermore, it discussed the different types of analytics and decision-making approaches and strategies for effective business decision-making. Howard emphasises the importance of comprehensive assessments in understanding organisational progress and decision-making.

This webinar provides an overview of data storage architecture and consistency, challenges and solutions for data management in a data lake house, edge computing and data architecture, semantic unification, data fabric, and the role of data fabric in achieving semantic consistency and data unification. Howard Diesel discusses data orchestration and database organisation, the challenges of data unification and justifying costs, the importance of getting things right in decision-making, decision quality and data management strategy, decision-making and analysis in data management and business, challenges in decision-making, the decision-making process and framework, data trust, better decision making and the decision-making loop, the CYNEFIN approach to decision making, and decision support systems and modelling.

This webinar delves into the journey and significance of data analytics from its transitional to strategic stages, emphasising its pivotal role in both government and private sectors. Zjaen Coetzee and Karl Dinkelmann share in their book, which outlines the process for implementing data analytics in companies and advocates for embracing analytics. Additionally, the book underscores the importance of the relationship between the Chief Data and Analytics Officer (CDAO) and the Chief Financial Officer (CFO) in driving data analytics initiatives. The speakers address the critical need for data confidence and leadership in business. They introduce the RAPPID methodology and the Data Value Approach as frameworks for success. Furthermore, the role of Data Value Architects, the maturity and value of data in organisations, and the impact of data leadership on decision-making processes are all topics that are explored.

This webinar covers a range of crucial topics related to AI development and legal compliance, including ethical considerations, the impact of AI on society and law, and the European Union's AI Act. Arnoud Engelfriet discusses the need for Data Governance and Management in AI systems, human oversight in AI deployment, and the challenges associated with personal Data Management systems. The webinar highlights the significance of accountability, compliance, and the EU's approach to trustworthy AI, as well as issues related to the risk-based approach of the AI Act and the controversies surrounding data use in AI systems and social networks.

This webinar delves into Large Language Models (LLMs) and Knowledge Graph Development, emphasising the significance of Semantic Data Modelling and the evolution of Knowledge Graphs in technology. Panos Alexopoulos explores the applications of Knowledge Graphs in data integration and machine learning, focusing on their use in natural language processing and information retrieval. Additionally, he shares on the challenges of vagueness in human thinking and its impact on data science, alongside the potential improvements of Semantic Modelling in knowledge representation. Lastly, Panos discusses the efficacy and usage of LLMs as knowledge developers while addressing the intersection of knowledge engineering and Artificial Intelligence, concluding with insights into upcoming courses and concepts in this dynamic field.

This webinar covers a range of topics, including the importance of ethical Data Management, professional ethics frameworks and principles, the ACM Code of Ethics, ethical implications of Data Management, and the ethical use of technology in professional practice. Daragh O Brien discusses the challenges of ethical Data Management and the balance between individual rights and society in terms of ethics and governance. Additionally, he explores industry ethics and Data Governance, AI policy and ethical controls, and the ethical implications of implementing large language models. The webinar discusses ethical considerations in Data Management, cultural and philosophical contexts, data personalisation, and the communication of information to diverse audiences.

This webinar covers various topics related to Data Management, decision intelligence, and customer engagement in various industries. Howard Diesel discusses strategies for valuing data initiatives, data literacy, and the importance of customer data in retail and the telecommunication industry. The webinar covers the key responsibilities and challenges of a Chief Data Officer (CDO), building strong Data Management and strategic alignment, and defining Personae for business benefit.

This webinar provides an overview of the key topics related to Data Management and business operations. Howard Diesel covers the importance of Reference and Master Data Management in different industries, as well as the roles and responsibilities in Data Management. Decision-making processes, risk management, and the strategic importance of Data Management are also highlighted. ‘Reference and Master Data Management for Data-Driven Executives’ emphasises the significance of understanding ROI, effective decision-making, and the potential use of IT resources in business development. Furthermore, it touches upon customer engagement, value-driven Data Management, and the role of generative AI in Master Data Management and customer interaction.

This webinar focuses on the critical aspects of Data Management and modelling. Exploring the challenges and solutions in Data Modelling and emphasising the importance of choosing the right Data Model for database management. Howard Diesel addresses the strategic insights and ethical considerations, highlighting the significance of shared values, leadership style, and skills in Data Modelling. Additionally, the role of Data Management in business strategy and operationalisation and the importance of Data Modelling and strategy in business operations. This instalment in the webinar series, ‘The Conceptual Modelling Journey Map,’ encapsulates the core concepts of Data Management and Data Modelling and their strategic implications in today's business landscape.

‘Data Management for Managers - Community of Practice’ covers the benefits and challenges of establishing a Community of Practice (CoP) in data management and governance. Howard Diesel talks about the CoP approach, which emphasises change management and an agile culture, which can help organisations develop professional skills and knowledge-sharing and encourage group development. Incentives, measurement of interaction quality, and recognition are essential for participation and engagement are explored. The webinar focuses on how CoPs help in community knowledge management, organisational development, and maturity levels. Lastly, Howard discusses the growth of DAMA Community and Business Case, Data Management and Governance initiatives, and the need to establish forums and communities of practice.