Day I
Day II
8:30 – 9:00 AM
Registration of Guests
9:00 – 9:10 AM
Opening of the conference
9:10 – 9:30 AM
The Inaugural Presentation held by the Chairmen of the Advisory Board
  • Dr. Mariusz Cholewa, Co-Chair of the Data Economy Congress Program Council, CEO BIK & President ACCIS
  • Szymon Wałach, Co-Chairman of the Data Economy Congress Program Council, Vice-President of the Management Board, InPost
9:30 – 9:45 AM
Map of global trends – presentation of current research/reports
Presentation
9:45 – 10:05 AM
Keynote speech
Keynote speech

DATA AS A BUSINESS STRATEGY – BUSINESS SCALABILITY, BUILDING DATA CULTURE AND AWARENESS IN THE ORGANIZATION

Effective data management in support of business goals and organizational operational efficiency, how building a culture of innovation can prepare teams to implement data-driven projects successfully.

10:05 – 10:45 AM
Data as a Business Strategy – Business Scalability, Building Data Culture and Awareness in the Organization
Debate
  • Effective data management as a tool to support the achievement of business goals and increase operational efficiency
    • application, scaling of POCs in project development
  • Data Governance and a holistic view of organizational transformation
    • How to transform your organization into a data-driven enterprise
    • strategy and cascading ventures “down the line.”
    • How to avoid apparent “green lights” in implementation
  • Building data accountability in the organization
    • The role of leaders in fostering a culture of data – a strategy for building employee, managerial and board commitment to data care
  • Culture of innovation implementation – how to prepare the organization for implementations
    • technostress, and promoting values that support innovation, cooperation and adaptation to change
    • cross-sector skills in teams
10:45 – 11:00 AM
Case study
Case study
11:00 – 11:10 AM
Use Case illustrating the scalability of POCs
Case study
11:10 – 11:20 AM
Customer Value Management (CVM) – data and AI in the service of value generation / Using predictive analytics to predict trends and shape business strategy
Case study
12:10 – 12:50 AM
Networking break

DATA CITY – DIGITAL TRANSFORMATION IN THE PUBLIC SECTOR AND MANAGEMENT OF CITIES OF THE FUTURE

How do you plan a city that is accessible to all? Open data, regulatory aspects, capacity building for cities and SMEs

12:00 – 12:50 AM
Data City – Digital Transformation in the Public Sector and Management of Cities of the Future
Debate
  • A holistic approach to planning cities of the future
  • Is open data and integrated IT infrastructure possible for the benefit of society?
  • Geolocation analytics
  • Regulatory aspects of data transfer and flow – how to create transparent and democratic access to public data
  • How can cities and MSPs build capacity without a budget for Data Scientists?
  • Is Poland poised to become a technology leader in Europe?
12:50 – 1:00 PM
How data can support energy and urban resource management systems
Case study
1:00 – 1:10 PM
Simulation of city spending based on data
Keynote speech
1:10 -1:20 PM
Anonymization and pseudonymization of data in healthcare – a model for access to sensitive data / Data governance in multisystem environments ( on the example of Digital Medicine Centers in the health sector)
Case study
1:20 -1:30 PM
Reference architecture for cities
Case study
1:30 -1:50 PM
Networking break

DIGITAL IDENTITY WALLET – SECURITY AND TRUST IN THE DIGITAL AGE

Development and regulation of digital identity, data authentication and the impact of quantum technologies on data security

1:50 – 2:10 PM
Quantum technologies – threat or enhancement of cybersecurity?
Case study
2:10 – 2:20 PM
Digital Wallet -electronic attribute confirmation- a new way to share data reliably
Case study
2:20 – 3:00 PM
Digital Identity Wallet – Security and Trust in the Digital Age
Debate
  • eIDAS 2.0 – current status of the project from the perspective of various industries
  • Privacy and data protection regulations
  • Free qualified electronic signature for a Citizen
  • Why are some organizations still not taking advantage of digital signature capabilities?
  • Dissemination of the Digital Identity Wallet – What We Need
  • Privacy – Whether the authentication methods used in digital identity wallets are effective and secure enough at the current rate of technology development
  • The Future of Trusted Signature and mCitizen in the context of the Digital Wallet project

GREEN ORGANIZATION – TECHNOLOGIES THAT SUPPORT SUSTAINABLE DEVELOPMENT GOALS

How to do business responsibly, taking into account ethical practices, ESG and digital transformation

3:00 – 3:50 PM
Green Organization – Technologies that Support Sustainable Development Goals
Debate
  • Ethical and responsible business practices – how to conduct digital transformation taking into account corporate social responsibility.
  • Application of modern technology and AI in the energy transition process
    • Optimizing energy consumption, predictive maintenance and management of infrastructure and measuring the effects of energy transformation
  • The potential of machine learning algorithms in corporate reporting – how to develop ESG strategies in an organization
  • ESG in SMEs – where to start?
  • Building trust, loyalty and customer satisfaction through responsible business strategies
3:50 – 4:20 PM
Lunch
9:00 – 9:30 AM
Registration of Guests
9:30 – 9:35 AM
Opening of the 2nd day of the conference
9:35 – 9:50 AM
Where AI won’t reach? Building modern competencies
Keynote speech

ORGANIZATION IN THE ERA OF ARTIFICIAL INTELLIGENCE – CHALLENGES, OPPORTUNITIES AND RESPONSIBILITIES

Challenges and opportunities related to the implementation of artificial intelligence solutions in modern enterprises and issues of accountability, transparency and interpretability of AI, with a perspective on the future of organizations and education

9:50 – 10:40 AM
Organization in the Era of Artificial Intelligence – Challenges, Opportunities and Responsibilities
Debate
  • Challenges and opportunities for modern enterprises – how prepared are we to introduce AI solutions in organizations?
  • How do we adequately match AI solutions to our organization’s needs?
  • Fairness and transparency – who is accountable for decisions made by systems?
  • The Role of Artificial Intelligence in Organizational Cyber Security – threat and incident detection, threat prediction
  • Limitations and challenges in AI interpretability – how to make algorithms more comprehensible?
  • How will the organizations of the future look like – a perspective to 2034
  • Evolution of education – what should we teach children?
3 x BEST PRACTICES
Case study Examples of working AI implementations – practical presentation of solution implementation.
10:40 – 10:50 AM
Case study
Case study
10:50 – 11:00 AM
Case study
Case study
11:00 – 11:10 AM
Algorithmization of direct marketing campaigns
Case study
11:10 – 11:40 AM
Networking break

PREPARING THE ORGANIZATION AND DATA TO IMPLEMENT THE LATEST TECHNOLOGIES

3 x Case study CDOs

11:40 – 11:50 AM
Is our data safe in the age of quantum technology? Is post-quantum technology a necessity anymore?
Case study
11:50 – 12:00 AM
How to prepare the organization for the implementation of new technologies – experiences
Case study
12:00 – 12:10 AM
Standardization, cleansing and integration of data – good practices
Case study

INDUSTRY 5.0 – INCREASING EFFICIENCY AND OPTIMIZING PRODUCTION

How can technologies in Industry 5.0 increase efficiency and optimize production?

12:10 – 12:20 PM
Case study
Case study
12:20 – 12:50 PM
Industry 5.0 – Increasing Efficiency and Optimizing Production
Debate
  • Integration of ERP and MES systems to optimize production
  • Legislative changes in access to production data – what it means for manufacturers
  • IoT and real-time data collection – what is the importance of collecting data from the production hall
  • Data contextualization in factories 5.0
  • Artificial intelligence, robotics, 3D printing and IoT – what is the vision of the future for the industry

WHAT WILL BE THE FUTURE AND TRENDS IN DATA MANAGEMENT

Challenges, strategies and benefits for data integration and management in organizations, especially in the context of data decentralization, data quality, Master Data Management and multi-generational team collaboration

12:50 – 1:00 PM
Maximizing the benefits of graph databases
Case study
1:00 – 1:50 PM
What will be the future and trends in data management
Debate
  • Data Mesh – decentralizing data in an organization – practical challenges and benefits
  • What are the practical applications of architectures that take care of data quality – how can existing data structures be effectively transformed?
  • Master Data Management strategies – how to maintain data consistency and integrity while decentralizing data?
  • Difficulties in integrating modern systems with old ones
  • Challenges of multigenerational and building competence in teams – education, motivation and data literacy
1:50 PM
Lunch
* Speakers in the process of confirming participation. / The organizer reserves the right to change the agenda.
Aktualizacja 7.03.2024r.