Creating data-driven organisations
In a world constantly shaped by disruptions, the power of data emerges as a driving force of change, and with the rise of artificial intelligence, ethical considerations and privacy concerns will need to take centre stage. Join us in exploring the challenges and opportunities that arise, highlighting the need for adaptability, data literacy, robust data governance and importance of placing humans at the centre of technological design.
Key themes include:
- Immense potential of data in the midst of constant distributions
- Ethics and privacy in the evolving world of AI
- Striking a balance between trust, accountability, governance, and security - 4 key ingredients of effective leadership in the challenging global landscape
- The role of human-centric approach in driving innovation
Speakers Include
Ronald van Loon
Anna Carolina Wiklund
Richard Benjamins
Javier de Paz
Jose Merono
Inga Gunnarsdottir
Daniel Hulme
Pier Martin
Jakub Weber
Tarun Rana
Andrew Rawlinson
Nathan Jones
Steve Ponting
Umesh Kumar
Lawrence Samson
Why Attend
New connections
Build new connections with likeminded senior leaders
Business trends
Stay current with emerging business trends
Key takeaways
Downloadable and actionable takeaways
New partnerships
Accelerate key projects through meaningful new partnerships
Insights
De-risk new projects by gaining a broad range of insights
New technologies
Understand the impact new technology can make
Event Agenda
09:00 - 09:10
Opening Remarks
Intro & diamond commentary
09:10 - 09:40
Keynote
Rethinking AI and its impact on business and humanity
Daniel provides a radical new framework for thinking about AI, and discusses how organisations can practically adopt these technologies and avoid being seduced by the hype. He argues that whilst these technologies are incredible at creating growth and streamlining operations, for companies to stay innovative they need to also use AI to unlock the creative capacity of their workforce. Daniel also covers the macro impact these technologies may have over the coming decades.
09:45 - 10:20
Panel Discussion
Remaining agile in changing data compliance landscape
According to Gartner, By the end of 2023, modern data privacy laws will cover the personal information of 75% of the world's population.
The world of data is both changed and changing, driven by accelerated digital transformation. By 2025, 463 exabytes of data will be generated each day [Raconteur]. Despite obvious opportunities this level of data can bring, the growing emphasis on data privacy laws is driving the conversations businesses and governments are having about achieving a "privacy-first approach" to information security.
The scope of these laws means that businesses will manage multiple data protection laws in various jurisdictions and customers will want to know what kind of data you collect from them and how it is used; consequently, putting brand perception and trust at risk every time a confidentiality is broken.
The changing compliance landscape being led by privacy, not only puts company reputation at risks but can also create huge workloads and cost for companies, contributing to an estimated global annual cost of cybercrime of €5.5 trillion by 2021 as highlighted by the Cyber Resilience Act proposal by the European Commission.
To remain agile, businesses will need to focus on automation of your data privacy management systems by adopting privacy-enhancing technologies and promoting the awareness of cyber hygiene, privacy and data protection.
10:20 - 10:30
10:20 - 10:30
Insight Break
Scaling AI ambitions: What is needed to unleash the future business value of AI
Join us by the fire as we explore the roadmap to transforming AI's potential into a success story in your organization and the critical role that data and your enterprise integration strategy will take.
10:30 - 11:30
Roundtables
Track 1: The role of a human-centric approach in data
A human-centric approach in data is a powerful tool that can empower innovation and drive meaningful outcomes. By placing humans at the centre of data-driven initiatives, organizations can gain valuable insights into human behaviour, needs, and preferences, leading to the development of products, services, and experiences that truly resonate with people.
- How does a human-centric approach to data transform the way organizations collect, analyse, and utilize data to drive innovation?
- In what ways can a human-centric approach ensure that data-driven insights are aligned with the needs, values, and preferences of the end-users or customers?
- What are the key considerations for organizations when integrating a human-centric approach into their data strategies and decision-making processes?
- How can organizations effectively gather and incorporate user feedback, experiences, and behaviour data to enhance the human-centricity of their data-driven initiatives?
- What ethical considerations should organizations keep in mind when applying a human-centric approach to data collection, analysis, and usage?
- What challenges or barriers might organizations encounter when adopting a human-centric approach to data, and how can these challenges be addressed?
- How can organizations balance the need for personalization and customization with user privacy and data protection when taking a human-centric approach to data-driven innovation?
Track 2: Advanced analytics: Maximizing data's potential
Data has become the fuel that drives decision-making and innovation in various industries. With the constant disruptions happening around us, data plays a crucial role in identifying trends, predicting outcomes, and informing decision-making processes. The potential of data is immense, as it can uncover hidden insights, unlock new opportunities, and drive business growth. It is important for organizations to effectively harness and analyse their data to stay competitive in the rapidly changing landscape.
- What are the main challenges organizations face when it comes to effectively harnessing and analysing their data, and how can these challenges be overcome?
- In what ways can organizations leverage data to uncover hidden insights and unlock new opportunities for business growth?
- How can organizations ensure the quality and reliability of their data to make accurate and impactful decisions?
- What role does advanced analytics, such as machine learning and artificial intelligence, play in maximizing the value of data for organizations?
- How can organizations establish a data-driven culture and mindset throughout their workforce to encourage data utilization and decision-making at all levels?
- What emerging trends or technologies should organizations be aware of when it comes to data utilization and analytics, and how can they leverage these trends for competitive advantage?
Track 3: Ethics and privacy in the evolving world of AI
As artificial intelligence (AI) continues to advance, questions about ethics and privacy become more important. AI systems make decisions based on the data they are trained on, and it is crucial to ensure that these decisions are fair, unbiased, and aligned with ethical values. Additionally, privacy concerns arise as AI systems rely on vast amounts of personal data. Striking a balance between the benefits of AI and the ethical considerations is essential to ensure that AI technologies are used responsibly and for the greater good of society.
- How can organizations ensure ethical considerations are integrated into the development and deployment of AI systems, particularly with respect to privacy and data protection?
- What are the key challenges and risks associated with privacy in the context of AI, and how can these challenges be effectively addressed?
- How can organizations strike a balance between leveraging AI for innovation and maintaining privacy rights and data protection for individuals?
- What are some potential ethical dilemmas that arise in the use of AI, and how can organizations proactively address these dilemmas to ensure responsible AI deployment?
- What steps can organizations take to ensure that AI models and algorithms do not perpetuate bias or discriminate against certain individuals or groups, while still maintaining privacy and data protection?
- How can organizations establish robust mechanisms for obtaining informed consent and providing individuals with control over their personal data in the context of AI-driven applications and services?
11:30 - 12:10
Debate
The future of work with generative AI: Limitless potential or limitless risk?
Irrespective of whether employees are working remotely, in the office, or hybrid, global leaders need to continue to create a culture of collaboration and innovation. Generative AI platforms such as Chat GPT have the potential to revolutionize the world of programming by automating repetitive tasks, improving code quality, and increasing productivity. However, technology also presents challenges, including data privacy, model bias, lack of creativity, and technical difficulties. How can organizations embrace such tools whilst navigating potential risks? Are we faced with limitless possibilities here, or limitless risk?
During this session, two industry leaders will debate the transformative potential and the risks that come with Next-Gen Technology, particularly generative AI, in shaping the future of work.
09:00 - 09:10
Opening Remarks
Intro & Diamond Commentary
09:10 - 09:50
Panel Discussion
The skills and talent gap: Bridging the data expertise divide in Europe
With a surging demand for skilled data scientists, analysts, and AI professionals, organizations are grappling with a shortage of talent possessing the necessary technical skills and domain knowledge. This calls for the strategies to attract and recruit top talent in a competitive market, as well as effective approaches for organizations to bridge the skills gap by providing training programs, mentorship initiatives, and fostering a culture of continuous learning.
09:55 - 10:05
Insight Break
10:05 - 11:05
Roundtables
Track 1: The role of a human-centric approach in data
A human-centric approach in data is a powerful tool that can empower innovation and drive meaningful outcomes. By placing humans at the centre of data-driven initiatives, organizations can gain valuable insights into human behaviour, needs, and preferences, leading to the development of products, services, and experiences that truly resonate with people.
- How does a human-centric approach to data transform the way organizations collect, analyse, and utilize data to drive innovation?
- In what ways can a human-centric approach ensure that data-driven insights are aligned with the needs, values, and preferences of the end-users or customers?
- What are the key considerations for organizations when integrating a human-centric approach into their data strategies and decision-making processes?
- How can organizations effectively gather and incorporate user feedback, experiences, and behaviour data to enhance the human-centricity of their data-driven initiatives?
- What ethical considerations should organizations keep in mind when applying a human-centric approach to data collection, analysis, and usage?
- What challenges or barriers might organizations encounter when adopting a human-centric approach to data, and how can these challenges be addressed?
- How can organizations balance the need for personalization and customization with user privacy and data protection when taking a human-centric approach to data-driven innovation?
Track 2: Advanced analytics: Maximizing data's potential
Data has become the fuel that drives decision-making and innovation in various industries. With the constant disruptions happening around us, data plays a crucial role in identifying trends, predicting outcomes, and informing decision-making processes. The potential of data is immense, as it can uncover hidden insights, unlock new opportunities, and drive business growth. It is important for organizations to effectively harness and analyse their data to stay competitive in the rapidly changing landscape.
- What are the main challenges organizations face when it comes to effectively harnessing and analysing their data, and how can these challenges be overcome?
- In what ways can organizations leverage data to uncover hidden insights and unlock new opportunities for business growth?
- How can organizations ensure the quality and reliability of their data to make accurate and impactful decisions?
- What role does advanced analytics, such as machine learning and artificial intelligence, play in maximizing the value of data for organizations?
- How can organizations establish a data-driven culture and mindset throughout their workforce to encourage data utilization and decision-making at all levels?
- What emerging trends or technologies should organizations be aware of when it comes to data utilization and analytics, and how can they leverage these trends for competitive advantage?
Track 3: Ethics and privacy in the evolving world of AI
As artificial intelligence (AI) continues to advance, questions about ethics and privacy become more important. AI systems make decisions based on the data they are trained on, and it is crucial to ensure that these decisions are fair, unbiased, and aligned with ethical values. Additionally, privacy concerns arise as AI systems rely on vast amounts of personal data. Striking a balance between the benefits of AI and the ethical considerations is essential to ensure that AI technologies are used responsibly and for the greater good of society.
- How can organizations ensure ethical considerations are integrated into the development and deployment of AI systems, particularly with respect to privacy and data protection?
- What are the key challenges and risks associated with privacy in the context of AI, and how can these challenges be effectively addressed?
- How can organizations strike a balance between leveraging AI for innovation and maintaining privacy rights and data protection for individuals?
- What are some potential ethical dilemmas that arise in the use of AI, and how can organizations proactively address these dilemmas to ensure responsible AI deployment?
- What steps can organizations take to ensure that AI models and algorithms do not perpetuate bias or discriminate against certain individuals or groups, while still maintaining privacy and data protection?
- How can organizations establish robust mechanisms for obtaining informed consent and providing individuals with control over their personal data in the context of AI-driven applications and services?
11:05 - 11:30
Innovation Exchange Keynote
11:35 - 12:05
Closing Keynote
09:00 - 09:10
Opening Remarks
09:10 - 09:35
Keynote
09:40 - 09:45
Trivia Quiz
09:45 - 09:55
Insight Break
10:00 - 10:30
Masterclass
Exploring the future: 10 Trends for 2025
What does the future hold with the onset of the intelligent world? Marked by the convergence of 5G, AI, IoT, endless fresh possibilities, opportunities, and experiences. Heiko Schick at Huawei will walk us through a vision for 2025, dynamic trends, catalyzing a transformative era of digital inclusivity. Collaboratively, we hold the power to extend the advantages of digital technologies to every individual, household, and organization.
10:30 - 11:15
Roundtable Leaders Panel
11:20 - 11:45
Innovation Exchange Keynote
Empowering tomorrow's AI with human insight
In the dynamic landscape of data and artificial intelligence, the true potential lies at the intersection of technology, human expertise, and the vast ecosystem of data. Anna will share her outlook on the evolving ecosystem where data serves as the lifeblood, AI as the engine, and people as the architects of innovation. From navigating data complexities to harnessing the power of diverse perspectives, how can organizations ensure their workforce are on board for the journey?
11:45 - 11:50
5 Key Takeaways
An immersive
Digital Summit
interactive features including:
Audience Interaction
Engage with a virtual live audience just as you would at a physical event and create meaningful conversations.
Interactive Live Polling
Keep engaged through interactive live polling and gamification tools.
Direct connections
Ask your questions face-to-face with the speakers via our leading stage technology.
Relationship building
Build stronger connections with leading executives that you will take with you through your career
Thought Leadership
Content and insight from industry experts when it matters most
Intelligent interaction
Interactive quizzes gamify your experience
Apply to attend
Meet with fellow industry leaders and solve today’s greatest business challenges.
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Frequently asked questions
A Digital Summit from GDS Group is a 3-day event experience bringing multiple partners and senior decision makers together. Within this immersive enviroment they discover new technical solutions, share learning opportunities and discuss trending industry topics which boosts insight, conversation and connections.
There are a couple of ways you can participate in a GDS event experience; as a partner or as an attendee. Whichever you are interested in, do get in touch.
Global senior decision makers from leading industry brands attend our event experiences. Between 2020 to May 2023, 34,473 senior executives attended our event experiences. If you are interested in attending a GDS event experience, please check out our upcoming events.
At one of our GDS Digital Summits there are several speaking slot packages available for you – 2x power insights commentator slots, keynote panel seats, masterclass hosting, prime keynote slot, and headline keynote slot.
Get in touch with us to learn more.
Yes! We partner with leading brands all across the globe – for partnership opportunities please get in touch.