Empower. Innovate. Connect.
Welcome to the Opportunity, Responsibility + Accountability in Data + AI (ORADA) Conference & Workshop Series, where we bring together global leaders, experts, practitioners and organizations to undertake an in depth exploration of the potential of data and AI solutions while simultaneously prioritizing ethical and responsible practices.
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Conference Theme: Balancing the Opportunity, Responsibility and Accountability in Data and AI
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Conference and Workshop Series Kick-Off
Date: 3 - 4 April 2025
Venue: Online ​
Insights & Impact
Engagement & Experience
Collaboration Hub
Our Vision for the Future
Making it easier to do good with data + AI
At ORADA, we are dedicated to fostering a community that embraces the transformative power of technology while ensuring inclusion and sustainability. Our platform is designed to facilitate meaningful connections and knowledge sharing among professionals from diverse backgrounds.
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Technology powered Business Leadership: Access business, tech and academic perspectives that are grounded in experience and science exploring the range of opportunities and challenges presented by data + artificial intelligence
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Inspiring, Global and Local Use Cases: Bringing together perspectives from leaders and practitioners from around the world to facilitate a variety of cross-geography perspectives and diverse use cases
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Practical and Actionable Take-Aways: strategic imperatives, leading practices + practical, actionable methods and take-aways delivered through speeches, panels, workshops and online learning resources
What Sets Us Apart
Our commitment to bringing you the best voices and minds to inform, educate, connect, collaborate with and empower you in your decision making on when and how to bring data and AI solutions into your business or organisation. We're committed to helping you identify and responsibly implement Data & AI solutions in a way that is robust and safe by sharing the information and tools needed to incorporate responsible and ethical practices into your projects and work environments.
Immersive Networking
Engage in productive discussions and build valuable connections during and after ORADA. We provide an opportunity to build a multi-disciplinary, cross-geography network of experts and leaders in business, technology as well as data and artificial intelligence.
Human Powered AI-Insights
Gain valuable insights on which responsible data and AI practices are practical and effective and learn how to apply them ensure you take advantage of the opportunities available to your organisation in a responsible, inclusive and sustainable manner.
Interactive, Collaborative Sessions
Experience dynamic and interactive sessions including keynotes, panels and workshops, to elevate engagement and give you the takeaways you're looking for. We design our events and workshops and in manner that creates connection and centres Ubuntu.
ORADA Themes
The ORADA Conference and Workshop series will cover the following themes relevant to the leaders and managers of businesses and organisations looking to responsibly take advantage of data and artificial intelligence opportunities
Business Growth & Opportunities
Trustworthy Data and AI Solutions
Regulation, Policy & Org Reputation
Attendees can expand their opportunity perspective through data + AI value and success cases. They will additionally gain access to approaches for building a solid business case for responsible data and AI within their organisations.
Responsible and Safe AI Innovation
Attendees will gain insights into innovating using data and AI solutions in a manner that centres responsiblity, trust and safety by levaraging responsible AI frameworks and drawing critical security considerations into innovation processes.
Attendees have the opportunity to unpack the tenets of trustworthy AI and take away practical approaches for applying practices designed to ensure the delivery of systems and solutions that customers and users can and should trust.
Implementation Considerations
Attendees will obtain guidance into how they can adjust their implementation approaches to ensure that the data and AI solutions they are responsbile for deliver value and mitigate against AI risks by prioritising responsible and ethical practices.
Attendees will gain approches for effectively stewarding the organisation through aligning internal policies and values, going beyond regulatory compliance (including the EU AI Act), thus delivering data and AI solutions that are fair and safe.
Future of Work Impact and Considerations
Attendees will derive a greater appreciation of the impact that the proliferation of data and AI solutions will have on the world of work including the fear vs opportunity perspective and considerations employees & practitioners shaping the future of work.
About The Organising Company
Inno Yolo created the Opportunity, Responsibility + Accountability in Data + AI (ORADA) Conference and Workshop Series to help fill a key gap within the data and AI ecosystems: a global showcase of practical solutions, leading practices and use cases that are anchored in responsible and ethical practices. We're reaching beyond frameworks and blueprints to help ease the adoption of responsible data and AI across the globe. Join us for the inspiration-filled keynotes, panels, workshops, learning resources and practice tools to be covered in our kick-off conference and in-depth data and AI Workshop Series!
Common Pillars of Responsible Data and AI
Explainability
How easily AI outcomes and the methodology that produces them can be explained for a business-oriented understanding
Bias and Fairness
How to mitigate bias from the start of predictive and generative AI project design to increase fairness, accuracy, and trustworthiness
Reproducibility
How consistently AI applications function as intended, even in unexpected situations, while prioritizing user safety
Sustainability
How consistently AI tools, systems and platforms are developed and used in a way that aligns with ethical and responsible principles
Transparency
How well people can understand and explain the inner workings and decision-making processes of AI tools, systems and platforms
