CAIO Institute: UK

CAIO Institute: UK

Location: Central Hall Westminster

Date: Thursday 23rd May 2024

Time: 08:00 - 17:30 BST

Event Summary

The Global CAIO Institute Event Series delivers a world-class full day of collaboration, networking, and discussions focusing on the latest trends and challenges currently faced within the industry. Provided through a dynamic combination of thought leadership and best practice strategies, our exceptional end-user-driven academic platform assists digital business leaders in improving productivity and growth within their organisations.

 

Featuring 80-100 hand-picked C-level & senior IT leaders from our global IT community, the day will consist of thought-provoking Panel discussions, Keynote presentations, interactive Boardrooms, 1-2-1 brokered business meetings, and networking opportunities. Discussions are driven by experts in the field, basing their insights on key business outcomes and allowing all to access powerful and useful content throughout the event.

2023 Featured Attendees

Featured Partners

Event Chair

2023 Agenda

Navigating the Data-AI Nexus: Exploring the integration of AI strategies with data governance frameworks to drive innovation and competitive advantage.

Ethical AI and Responsible Data Stewardship: Discussing the importance of ethical AI practices and how leaders can implement these in their organisations.

Tackling the Talent Challenge: Insights on cultivating in-house expertise, fostering a culture of continuous learning, and the importance of diversity in tech teams to bring varied perspectives.

Predicting Future Trends: Forward-looking perspective, on the next wave of trends in the data and AI landscape.

Identifying and Cultivating AI Talent: Examine strategies for identifying potential AI and machine learning talent within existing teams and effective methods to cultivate these skills.

Bridging the Skills Gap: Discuss approaches to bridge the talent gap in AI and machine learning, including partnerships with educational institutions, upskilling programs, and recruitment strategies.

Fostering a Culture of Continuous Learning: Highlight the importance of creating a workplace culture that encourages continuous learning and innovation in AI and machine learning to keep pace with technological advancements.

Introduction to the concept of 'Conscious Adoption' - a mindful approach to integrating new technologies and processes in businesses.

Discussing how organisations can apply conscious adoption in their digital transformation journey, emphasising strategic planning and employee engagement.

Exploring the potential benefits of conscious adoption, such as improved efficiency and competitive advantage, alongside potential challenges, including resistance to change and resource allocation.

 

Jason Smith, CDO, Publicis Groupe

Understanding Shadow AI: Delve into the concept of Shadow AI, its prevalence in enterprises, and the potential risks it poses to security, privacy, and compliance.

Mitigating Risks of Unauthorized AI: Explore strategies for identifying and mitigating the risks associated with unauthorized AI deployments, including governance frameworks and policy enforcement.

Balancing Innovation with Control: Discuss how enterprises can balance the need for innovation in AI with the necessity of maintaining control over AI systems to ensure security, privacy, and compliance.

Identifying and Cultivating AI Talent: Examine strategies for identifying potential AI and machine learning talent within existing teams and effective methods to cultivate these skills.

Bridging the Skills Gap: Discuss approaches to bridge the talent gap in AI and machine learning, including partnerships with educational institutions, upskilling programs, and recruitment strategies.

Fostering a Culture of Continuous Learning: Highlight the importance of creating a workplace culture that encourages continuous learning and innovation in AI and machine learning to keep pace with technological advancements.

Defining Hyperautomation: Introduce the concept of hyperautomation, its evolution from traditional automation, and its role as a transformative force in modern enterprise operations.

Implementing Hyperautomation Strategies: Discuss practical strategies for implementing hyperautomation in business processes, including technology selection, workforce integration, and process optimisation.

Measuring Impact and ROI: Examine methods for measuring the impact and return on investment of hyperautomation initiatives, including productivity gains, cost reduction, and enhanced operational efficiency.

  • Techniques for understanding customer data to drive business decisions.
  • Exploring innovative methods to leverage customer data for product development, marketing, and customer service improvements.
  • Addressing privacy concerns and ethical implications of using customer data.
  • Success stories where data-driven strategies significantly impacted customer understanding and business growth.
  • Examination of AI's role in promoting sustainable development goals.
  • Analysis of AI-driven solutions for environmental and social challenges.
  • Case studies showcasing successful AI applications in sustainability.
  • How to transform your business with AI to boost efficiency and decision making?
  • Discuss communication issues on organisational level and how to leverage AI for competitive advantage.
  • Tackle AI's challenges head-on, addressing data privacy, ethical considerations, and employee upskilling for successful integration.

Laying the Groundwork for AI: Delve into the critical components of a robust data strategy that lays the foundation for successful machine learning and AI initiatives.

Integrating AI into Business Processes: Explore strategies for effectively integrating AI and machine learning into existing business processes, ensuring alignment with organisational goals and values.

Overcoming Challenges and Scaling AI Solutions: Address common challenges in scaling AI projects, from data quality to talent acquisition, and discuss best practices for expanding AI capabilities across the organisation.

Bringing together leading data experts and business leaders the session focuses the practicalities and challenges of cultivating a data-driven culture in organisations, looking at: 

  • The essence of a data-driven culture and how to overcome barriers of building it. 
  • Leadership, team dynamics and its role in success strategies.
  • Real-life case studies on sustaining progress and adopting to change.
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