All the content of the Data Management Summit Bilbao

It has been three days of intense debates and keynote speeches that we have recorded and make available to all followers of Synergo! and DMS.

Welcome to As Fabrik Mondragon Unibertsitatea

The Bilbao Campus (Asfabrik building) is located on the island of Zorrozaurre and consists of a first floor and three upper floors. The total usable area of the building is 8,800 m2 divided into; first floor 2,350 m2, second floor 2,150 m2, second floor 2,150 m2 and third floor 2,150 m2. In general, the Campus (Asfabrik building) has 15 classrooms equipped with blackboards, a projector, a screen and a mobile multimedia system. In addition, there are other small classrooms that are used for the splitting of groups and that enable the implementation of more active teaching techniques. There are also specific open-access spaces suitable for student teamwork, as well as rooms available under reservation with computer equipment; there are also open classrooms for student use. Eduardo Castellano Lander Beloki Mendizabal ,

The Government of Aragon Data Governance at the Institution

The Government of Aragon explains how they are implementing Data Governance in the Institution

Speech of the Bilbao City Council

I?igo Robredo Guinea ICT Smart Data and Municipal Corporate Services Manager at BilbaoTIK will be in charge of this presentation.

Speech from the Generalitat de Catalunya

Inma Menacho de Solà-yMorales will be in charge of a case study of government in the Genaralitat de Catalunya.

The challenge of Third Party Data quality in the Administration. Automation in debugging

In the digital era, public administration is faced with an increasing volume of data from a variety of sources, including third-party data. The quality of this data is crucial for decision making, operational efficiency and public service delivery. However, the integration of third-party data presents several challenges that require innovative solutions, such as automation in data cleansing.

Roundtable: Sustainable Innovation in Citizen Interaction: Chatbots and Technological Tools for Public Administration

The roundtable will focus on the practical and strategic application of chatbots and other technological solutions to improve the connection between citizens and public administration. Participants will discuss how these chatbots, powered by artificial intelligence, are transforming the way citizens interact with government services. From basic queries to complex administrative processes, chatbots provide instant and accurate responses, improving efficiency and citizen satisfaction. In addition to chatbots, other innovative technological tools that facilitate communication between government and citizens will be explored. From intuitive mobile apps to intelligent user interfaces, these solutions are designed to make interaction with the government more accessible, efficient and transparent.

Roundtable: Enabling Technologies for Public Administrations: Transforming Citizen Services

In this roundtable, we will bring together leading experts in technology, innovation and public administration to discuss how the latest technologies are reshaping government services. From artificial intelligence and the Internet of Things to advanced analytics and automation, we will examine how these technologies are driving the modernization of the public sector. Participants will explore case studies and concrete examples of how public administrations around the world are using enabling technologies to optimize service delivery. Implementation strategies, challenges overcome and lessons learned will be discussed, providing a comprehensive view of the opportunities and obstacles faced by public administrations in their journey towards digital transformation.

Roundtable: Navigating the Future of Data: Ontologies as Compasses in Data Governance and Open Data Spaces

In this roundtable, we will bring together leading experts in data science, semantic technology and data governance to discuss how ontologies are transforming the way we understand, manage and share data. Ontologies, by providing accurate and meaningful semantic structures, are the tools that will guide organizations in properly governing their data, ensuring its quality, integrity and trustworthiness. We will explore how ontologies have become digital compasses, enabling organizations to navigate the vast ocean of data securely and efficiently. These semantic structures not only facilitate shared understanding of data, but also establish standards and protocols for open data spaces, promoting transparency and collaboration. Ontologies are like detailed maps that guide us in a complex world of interconnected data. They are semantic structures that define the underlying relationships and meanings between data. In essence, they are the backbone that supports data spaces, giving them coherence and understanding.

AI Data Product Journey

A journey through the AI Data Products Lifecycle Dario Ligero MAPFRE

Nortegas from zero to scratch

The problems of setting up an adequate architecture to support the business in a timely manner. Nortegas' journey to excellence

Roundtable: Data Observability: Beyond the Horizon of Data Quality in a Dynamic World

In a world where data is flowing like never before, observability becomes an essential compass for organizations seeking to understand, manage and optimize their data in a dynamic and constantly changing environment. During this roundtable, we will bring together leading experts in data science, technology and cybersecurity to explore the fundamental concept of Data Observability and its importance in today’s context. Beyond traditional data quality, observability takes us to a deeper level, where we understand not only the accuracy of data, but also its context, relevance and flow over time. We will explore how organizations can implement effective observability practices to stay on top of changes in data, detect emerging patterns, and proactively adapt to market trends and customer needs. We will discuss innovative tools and technologies that enable real-time observation of data, enabling agile, data-driven decision making.

Improving the quality of open data using Artificial Intelligence (AI)

Data Spaces are secure and standardized virtual environments where organizations can share, exchange and collaborate with data in a controlled and governed manner. These spaces allow companies to access data from multiple sources, both internal and external, facilitating effective collaboration and better decision making. The integration of Data Spaces and Data Quality is crucial to maximize the value of data in organizations. Data Spaces provide the necessary environment for collaboration and data sharing, while Data Quality ensures that the information shared is reliable and useful. Together, these concepts enable organizations to make the most of their data assets, improving operational efficiency, innovation and responsiveness to market changes.

Eulen Business Case: From DataOps to DataBiz: Business within the Analytics Team

From DataOps to DataBiz: Business within the Analytics Team describes a transformation in how data analytics teams operate and align with business needs, using the DataOps methodology to ensure data quality and efficiency, while focusing on generating tangible and relevant business value.

Florette Business Case

Florette Ibérica case on Analytics (courtesy of Mercanza)

Roundtable: Exploring the Future of Data Management in the Age of Quantum Computing

The Data Management Summit roundtable entitled: “Exploring the Future of Data Management in the Age of Quantum Computing“, will take us on a journey into the infinite and transformative possibilities offered by this innovative technology. In this session, leading experts in data management and quantum computing will come together to discuss how Quantum Computing is completely redefining the rules of the game in the field of data management. We will explore how quantum algorithms are revolutionizing the way we store, process and analyze data, enabling previously unimaginable speeds and capabilities. Participants will learn about the practical applications of Quantum Computing in big data management and how this technology is transforming advanced analytics and artificial intelligence. From optimizing business operations to simulating complex systems at the molecular level, Quantum Computing is opening new frontiers for innovation and discovery in the world of data management.

eDiversa Case History: Data consolidation among 5 sources, the new paradigm of MDM

Data consolidation from multiple sources and the evolving paradigm of Master Data Management (MDM) represent critical advancements in the data management landscape. The modern approach to MDM aims to address various complexities brought about by the vast and diverse nature of data in today's enterprises.. Implementing a successful MDM strategy involves careful planning, design, testing, deployment, and ongoing maintenance, ensuring the system aligns with business objectives and adapts to evolving data landscapes

Roundtable: Challenges and Opportunities in Distributed Data Architecture: Exploring Data Fabric, Data Mesh and Open Platforms

This roundtable will focus on two mutually compatible paradigms: Data Fabric and Data Mesh. Participants will delve into how these two approaches are transforming the way we conceive and manage data in distributed and complex environments. The benefits of adopting these approaches will be highlighted, including the agility to adapt to changing market demands and the ability to manage data diversity effectively. A key point of discussion will be the fundamental role of open platform design and the intensive use of APIs in distributed data architecture. The adoption of open platforms fosters collaboration and interoperability between systems, while APIs enable seamless and efficient integration between diverse applications and services. Experts will share practical experiences on how these technologies are transforming the way organizations manage their data, providing flexibility and adaptability in an ever-evolving digital world.

Admirall Case History:

They will explain the journey that Almirall has undertaken to consolidate a tremendously successful self-service analytics strategy within the company. This strategy enables many of their business areas to manage their own analytical solutions without the need for excessive support from corporate data and technology departments, which have traditionally been bottlenecks due to accumulating demands from the entire company.

The challenges of organizations in metadata management

The challenges of organizations in metadata management" refers to the various difficulties organizations face when trying to manage metadata effectively. Metadata, often described as "data about data," is crucial for organizing, discovering, and managing data assets. Effective metadata management is essential for organizations to harness the full potential of their data assets. However, it comes with a set of challenges that require careful planning, the right tools, strong governance frameworks, and continuous user education and support. Addressing these challenges can significantly enhance data discovery, improve data quality, and ensure compliance with regulatory requirements, ultimately leading to better data-driven decision-making

Call for Chapter Development

To set up an event of this nature requires public and private collaboration, it is necessary local support we use the formula of the chapter. In each country there are different referents who are in charge of proposing content, looking for sponsors and promoting the event locally.

The ideal location is a Public/Private University. We believe that an independent event cannot be hosted in the headquarters of a technological vendor, we want to put students in contact with the business realities within Data Management. If you plan to open a DMS chapter in your country do not hesitate to contact us.

What We Need From University or Company

We need space for 70/80 people for case presentations and roundtable discussions. We need a classroom or another space with tables of 6 people maximum to make the dynamic group and space for catering. For both spaces, we need a projector and a megafony suitable for the room. We need an internet connection for internal use and for the attendees. Eventual availability of student volunteers for the logistical organization (not mandatory)

I would be proud to have a speech from the University. We would be honored to have the rector at the opening ceremony. We need the authorization to use the university logo to promote the event and for communication.

With the allocation of space, the University is automatically a sponsor of the event at no other cost.

International Development

We are interested in developing the DMS in the following countries: Latam, Asia Area, North America, EMEA

Contact us for more info.

Michele Iurillo ([email protected])