All Data Management Summit 2024 Roundtables

A few weeks before the last event of the Data Management Summit 2023 it is time to start thinking about the 2024 event. Therefore, we are going to advance the round tables that we have thought about for the event. We are also looking forward to your feedback on this approach. 

Data Sovereignty: Challenges and Strategies in Cloud Security, Compliance and Data Repatriation

Within the framework of the prestigious Data Management Summit event, a challenging and informative roundtable discussion entitled Challenges and Strategies in Cloud Security, Compliance and Data Repatriation will be held. This gathering brings together prominent leaders and experts in the field of technology and data management to discuss critical issues affecting businesses in the digital age.

This roundtable will delve into cloud security, examining the latest threats and innovative solutions to protect sensitive data in virtual environments. It will explore the complexities of regulatory compliance in the context of cloud computing, identifying current limitations and proposing strategies to overcome regulatory hurdles.

A central topic of discussion will be the phenomenon of data “repatriation”, a strategic move where organizations decide to bring their data back from the cloud to local infrastructures. Participants will analyze the reasons behind this growing trend and share experiences on how to manage this transition effectively while maintaining data security and integrity.

This roundtable will offer a unique point of view due to the exchange of ideas among industry professionals, providing an in-depth view on the challenges and opportunities in data management in the digital era. Attendees will be able to learn from the real-world experiences of experts and gain valuable insights into best practices, security strategies and regulatory compliance in the cloud computing environment.

The roundtable will attempt to answer these questions: What are the most significant challenges organizations face in terms of security when migrating to cloud environments?

What measures and best practices can be implemented to ensure data security in the cloud? How can enterprises comply with regulations and industry standards when using cloud services? What are the main areas of concern in terms of regulatory compliance? What strategies are being used to maintain compliance with local and international regulations in increasingly complex cloud environments? What is driving the phenomenon of “repatriating” data from the cloud to on-premises infrastructures? What are the benefits and challenges associated with this trend? What strategies should organizations consider when deciding to repatriate data from the cloud and how does this affect security and operational efficiency? How can technologies such as artificial intelligence and machine learning be used to improve security and compliance in cloud environments? What is the role of encryption and tokenization solutions in protecting sensitive data stored in the cloud? What steps should enterprises take to ensure secure collaboration with cloud service providers? What is the level of shared responsibility in terms of security? How can organizations assess the security and reliability of a cloud service provider before migrating sensitive data to their platform? What recovery and business continuity strategies should be implemented to mitigate the risks associated with data loss in the cloud?

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

As part of the Data Management Summit 2024, we are pleased to present the roundtable Challenges and Opportunities in Distributed Data Architecture: Exploring Data Fabric, Data Mesh and Open Platforms. In this exclusive gathering, leading experts in the field of technology and data management will come together to discuss the most pressing challenges and innovative solutions that are shaping the future of distributed data management.

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.

Challenges and Opportunities in Distributed Data Architecture at the Data Management Summit promises to be an educational and enriching experience for all attendees interested in being at the forefront of data management in an increasingly interconnected world. 

Generative IA: Transforming Data Governance and Data Management

As part of the influential Data Management Summit, we are pleased to present a fascinating and innovative panel discussion entitled Generative AI: Transforming Data Governance and Management. This event brings together leading experts in artificial intelligence and data management to explore how Generative AI technologies are revolutionizing the landscape of government and data management.

In this roundtable, participants will dive into the exciting world of generative artificial intelligence (Generative AI). We will explore how these advanced technologies are being creatively applied to transform the way governments and organizations manage, analyze and use big data. From generating valuable insights to automating complex processes, Generative AI is taking data management to new heights.

A central point of discussion will be the role of Generative AI in improving government decision making. Experts will share practical use cases, demonstrating how this technology is helping governments anticipate trends, optimize resources and make informed decisions based on accurate data and deep analytics.

In addition, the ethical challenge and liability associated with the use of Generative AI in the context of governance and data management will be discussed. Panelists will discuss best practices to ensure transparency, fairness and privacy in the development and implementation of Generative AI-based solutions.

This roundtable will offer a unique insight into how generative artificial intelligence is transforming public administration and data management. Attendees will be able to learn from real-world experiences, understand the ethical implications, and explore opportunities to apply this innovative technology in their own professional contexts.

Generative AI: Transforming Government and Data Management at the Data Management Summit promises to be an enlightening and educational experience for professionals interested in exploring the boundaries of artificial intelligence and its impact on government and data management. Don’t miss this unique opportunity to learn from industry leaders and discover how Generative AI is shaping the future of data management in the public sector and beyond.

Strengthening governance and compliance with DORA and ESG through data lineage and metadata management 

In an era where regulatory compliance and sustainable business practices have become paramount, the panel discussion titled Strengthening DORA and ESG Governance and Compliance through Data and Metadata Lineage Management at the Data Management Summit offers a deep dive into the essential role of data and metadata lineage management in enhancing governance and compliance efforts aligned with DORA (Digital Operational Resilience Act) and ESG (Environmental, Social, Governance) standards.

This interactive session brings together thought leaders, regulatory experts and data management professionals to explore innovative strategies to strengthen governance structures and ensure compliance with complex DORA and ESG requirements. The focus will be on how meticulous management of data lineage and metadata serves as a lynchpin for establishing transparency, accountability and traceability in the data ecosystem.

Special attention will be given to exploring the challenges and opportunities associated with DORA and ESG compliance, with an emphasis on the crucial role of accurate data and metadata lineage management in navigating the complexities of these regulatory environments. Participants will have the opportunity to learn from industry experts, share their experiences and discuss emerging technologies and methodologies that can elevate governance and compliance practices to new heights.

How can organizations effectively align their data governance strategies with the specific requirements outlined in the DORA?

What are the key challenges organizations face in complying with the DORA, and how can metadata management and data lineage address these challenges? How can accurate data lineage management and metadata contribute to ESG reporting and compliance, particularly as it relates to environmental impact and social responsibility? Are there specific ESG-related metrics or indicators where data lineage is particularly valuable? What best practices should organizations follow to establish a robust data governance framework that incorporates data lineage and metadata management, ensuring compliance with both DORA and ESG? How can organizations balance the need for data accessibility with stringent governance requirements? What role does metadata play in achieving this balance?

What tools or technology platforms have proven effective in improving data lineage and metadata management for DORA and ESG compliance? Are there emerging technologies worth exploring? How can automation and artificial intelligence be leveraged to streamline the process of tracking data lineage and ensuring metadata accuracy, especially in large and complex datasets?

What are the common pitfalls organizations should avoid when implementing metadata management and data lineage solutions for compliance purposes?

How can organizations overcome challenges related to data quality, interoperability and integration when implementing these solutions?

How can organizations proactively prepare for upcoming regulatory changes by improving their metadata management and data lineage capabilities?

These arguments and many more will be the focus of the discussion.

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.

In addition, the challenges and opportunities that arise with the adoption of Quantum Computing in data management will be addressed, including data security and the need to develop new quantum data storage and management infrastructures. Participants will have the opportunity to explore strategies to prepare for this exciting technological future and maximize the potential of Quantum Computing in their data management operations.

Quantum Data Transformation:

How do you anticipate Quantum Computing will transform the way data is stored and processed compared to traditional technologies?

What specific challenges does quantum data management pose and how are these challenges being addressed?

Integration of Quantum Algorithms:

How are quantum algorithms being integrated into day-to-day data management operations, and can you share specific examples of practical real-world applications?

What types of data management problems are particularly suitable to be addressed by quantum algorithms and what are the key benefits of using these solutions?

Security and Privacy:

Given the ability of Quantum Computing to easily break traditional cryptographic algorithms, how can organizations ensure data security and privacy in a quantum environment?

Are there specific solutions, such as quantum encryption, that are being implemented to mitigate the security risks associated with Quantum Computing?

Optimization and Advanced Analysis:

In the context of business optimization and advanced data analytics, how can organizations leverage Quantum Computing to make more informed and strategic decisions?

Which business areas will benefit most from the optimization and advanced analytics capabilities offered by Quantum Computing?

Personnel Preparation and Training:

Given that this technology is relatively new and complex, what is the approach to prepare data management professionals and data scientists to work with quantum systems?

What specific skills and knowledge will be essential for professionals who wish to excel in the field of Quantum Computing applied to data management?

Impact on Business Innovation:

How do you think Quantum Computing will impact innovation in companies, especially in terms of product development, research and development, and creation of new business models?

Are there examples of companies that have already experienced a significant change in their innovative approach due to the adoption of Quantum Computing in data management?

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.

Defining Data Observability:

How would you define Data Observability and how does it differ from traditional data quality in a dynamic business environment?

What elements do they consider essential to an effective Data Observability strategy in a world where data is constantly changing?

Real-Time Observability:

How can observability tools provide real-time insights into changes in data? Can you share specific examples of cases where real-time observation has led to meaningful business decisions?

What are the challenges associated with real-time observation and how are they being addressed in practice?

Proactive Adaptation:

In a changing data environment, how can organizations proactively adapt to new trends and emerging patterns detected through Data Observability?

What strategies can be implemented to use insights from Data Observability to adjust business strategies in an agile manner?

Cybersecurity and Data Privacy:

Given the emphasis on data observability, how can organizations ensure the security and privacy of sensitive data? Are there specific approaches to protect data while it is being observed and analyzed?

What role does cybersecurity play in data observability and how can the risks associated with observing data in a digitally interconnected world be mitigated?

Collaboration and Organizational Culture:

How important is it to foster an organizational culture that values continuous data observability? What challenges can arise when trying to implement an observability mindset across the organization?

How can organizations foster collaboration across teams, especially between data experts and business leaders, to take full advantage of insights derived from data observability?

Future of Data Observability:

Considering the rapid evolution of technology, how do you anticipate the practice of Data Observability to evolve in the coming years? Are there emerging trends that could transform the way we observe and use data?

What advice can you offer to help organizations be prepared to take advantage of future innovations in the field of data observability?

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

As part of the Data Management Summit PA, an initiative dedicated to excellence in data management in the public sector, we are pleased to present a stimulating and timely panel discussion: Innovation in Citizen Interaction: Chatbots and Technology Tools in Public Administration. This event brings together leading experts, technology innovators and government decision makers to explore the exciting landscape of citizen interaction facilitated by technologies such as chatbots and other advanced tools.

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.

Panelists will share practical experiences and case studies that highlight how these technologies are being successfully implemented in various areas of government, including health, education, social services and citizen participation. Challenges and best practices for ensuring data security, privacy and equity in the implementation of these tools will be discussed.

This roundtable will provide participants with an in-depth look at how technologies such as chatbots are transforming the citizen experience in government. Attendees will have the opportunity to learn from industry leaders, share insights and discover new ways to improve citizen engagement and administrative efficiency through technological innovation.

How are chatbots being adopted in public administration to improve interaction with citizens? What are the most successful use cases?

What specific benefits have government entities experienced by implementing chatbots compared to traditional communication methods?

How can chatbots and other technology tools effectively integrate with existing government services to provide a more cohesive and efficient user experience? What are the common challenges organizations face when integrating chatbots with pre-existing government systems and how are these obstacles being overcome? How are chatbots and other technology tools helping to improve the accessibility of government services for people with disabilities? Are there any specific initiatives in this regard?

How are these technologies fostering citizen participation and collaboration in government decision-making?

What are the security measures implemented to protect the privacy and confidentiality of citizens’ data when chatbots are used in public administration?

How are citizen concerns about security and privacy being addressed when interacting with government chatbots?

How is the impact of chatbots and other technological tools on citizen interaction being evaluated? What metrics are being used to measure the success of these initiatives?

What are the strategies for collecting citizen comments and feedback, and how are these opinions being used to continuously improve the user experience?

Enabling Technologies for Public Administrations: Transforming Citizen Services

In the context of increasing digitization and the demand for more efficient and accessible services, the Data Management Summit is pleased to present the panel discussion Enabling Technologies for Public Administrations: Transforming Citizen Service. This panel will explore the critical role that enabling technologies play in transforming public administration, improving operational efficiency and elevating the citizen experience to new levels.

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.

In addition, the roundtable will focus on how these technologies are enhancing citizen interaction and participation. From intuitive mobile apps to online citizen engagement platforms, we will explore how enabling technologies are enabling effective two-way communication, empowering citizens and fostering greater government transparency.

Implementation and Strategy:

What are the enabling technologies that have proven to be most effective in modernizing public administrations? Can you share specific examples of successful implementation?

What are the main challenges that public administrators face in adopting these technologies and how are they being overcome?

Citizen Experience:

In your experience, how have these technologies improved the citizen experience when interacting with government services? What specific features have been most impactful for citizens?

What strategies are being used to ensure that citizens have equitable access to digital services and how are digital divides being addressed?

Citizen Participation and Transparency:

How are enabling technologies fostering citizen participation in government decision-making? Are there specific tools being used to engage citizens in the democratic process?

How are public administrations using these technologies to improve transparency and accountability in their operations?

Security and Data Protection:

Given the growing concerns about cybersecurity and data privacy, how are these issues being addressed when implementing enabling technologies in public administrations?

Are there specific protocols or security measures being implemented to protect citizens’ sensitive information?

Impact Evaluation and Success Measurement:

What are the metrics and indicators used to assess the impact of these technologies on public administration and citizen satisfaction? Are there case studies that demonstrate measurable results?

How are citizen comments and feedback being used to continuously improve digital services and enabling technologies?

Public-Private Collaboration:

What opportunities and challenges arise in public-private collaboration to implement enabling technologies in government?

Can you share examples of successful partnerships that have led to significant innovations in public administration?

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

Within the Data Management Summit we present a panel discussion entitled “Navigating the Future of Data: Ontologies as Compasses in Data Governance and Open Data Spaces” that explores the fascinating world of ontologies and their crucial role in data governance and the promotion of 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.

Why are they so important?

Meaningful Interconnection: Ontologies allow linking seemingly disparate data, creating a coherent knowledge network. This facilitates the interpretation of complex data and promotes holistic understanding.

Accuracy and Consistency: By establishing clear definitions and relationships between data, ontologies ensure accuracy and consistency in all information. This is essential for informed decision making and reliable analysis.

Facilitate Search: In a world where efficient search is key, ontologies improve the accuracy of results by understanding user intent. This leads to a richer and more relevant search experience.

Foster Innovation: By providing a robust framework for understanding data, ontologies foster innovation by enabling the creation of new applications, advanced analytics and meaningful discoveries.

Promote Collaboration: By establishing a common language between different users and systems, ontologies facilitate collaboration between teams and organizations. This is critical in open and shared data spaces.

Sustainable Tourism in the Canary Islands: Data Integration for Efficient Management

As part of the Data Management Summit Tour de Canarias, a round table discussion will be held entitled “Sustainable Tourism in the Canary Islands: Integrating Data for Efficient Management”. This event will bring together experts in tourism, data management and sustainability to explore the opportunities and challenges facing the tourism industry in this well-known location.

The roundtable will begin with a reflection on the crucial role of tourism in the Canary Islands economy and its impact on the natural and cultural environment. Participants will discuss current tourism destination management practices and explore how data integration can improve decision-making and efficiency in the sector.

Panelists will share experiences on the implementation of innovative technologies, such as artificial intelligence, big data analysis and geographic information systems, to optimize tourism planning and promotion.

The sustainable approach will be a central theme, highlighting the importance of balancing tourism growth with the preservation of the environment and local culture. Participants will discuss how data can be key tools to drive more responsible and conscious tourism, minimizing negative impact on natural resources and encouraging sustainable practices.

Public-private partnerships and citizen participation will be explored to strengthen tourism governance.