CDO Institute: UK

• Explore current successes and forward-looking strategies, offering a roadmap for leaders to harness the potential of AI responsibly. 
• Insights on emerging trends and technologies will guide participants towards pioneering data and AI applications, envisioning a future of innovative, data-empowered decision-making.

Silky Vaidya, Fractional Chief Technology and Product Officer, SIRV/ NED & Regional Director UK&I, WIBD

Breno Gentil, Europe CIO, Heineken

Oleg Kravets, Chief Analytics Officer, The Travel Corporation

Alessandro Bovone, CTO, Nokia

Kostas Vakaros, Senior Product Manager, Conversational AI, Tesco Plc

Exploring the pivotal role of digital transformation in reshaping telecommunications, focusing on innovative product development strategies that leverage cutting-edge technologies to meet evolving customer needs and expectations.

How can companies effectively integrate digital solutions to enhance customer experience, ensuring seamless service delivery, and improved satisfaction across all touchpoints?

A look at digital transformation success stories, showcasing the impact on operational efficiency, market competitiveness, and customer delight, along with lessons learned and best practices for navigating the journey.

With so much focus on AI and Generative AI, how do you ensure that you are delivering business value that meets the business priorities and scales to make a meaningful impact. What areas are other companies investing in to scale in a way that is rapid, strategic, and cost effective while understanding the skill gaps and how they are doing it. This topic provides an overview of high priority use cases for AI / Generative AI; the approach to mobilizing and scaling business value; how to think holistically about data and AI; and considerations for technology, people, process, and mindset.

Sean Poulley, COO, Keepler Data Tech

The session will highlight how data analytics can revolutionise decision-making for business resilience and growth.

Attendees will learn about the importance of data management and cybersecurity in protecting business insights and maintaining competitiveness.

The discussion will explore the role of AI and machine learning in uncovering opportunities and fostering innovation for business expansion.

Anna Gill, Analytics Director, Mars

In the pursuit of building the organisation of tomorrow I, leaders must tackle the dual task of harnessing the power of data and automation while ensuring ethical and effective decision-making. This session will address:

• Integrating data analytics and Artificial Intelligence, with automation to enhance decision-making.
• Maintaining a changing balance between automated decisions and human insight for complex problem-solving.
• Implementing appropriate governance to address the impact and ethical implications of the change to come.

Ved Sen, Head of Innovation, TCS UK & Ireland, Tata Consultancy Services

• How do you generate BI Platform adoption in your business, what challenges do you face, what should you avoid and what successes have you had?
• What are the key fundamentals of an operational model to develop dashboards?
• Are BI Self-Serve Solutions the answer or just a gateway to the next grain of data from your stakeholders
• What is your approach to the tackle ‘War on Excel'?

Tony Knock, Director of Data Solutions & Services, Barclays Bank

Data is the second most valuable asset within most companies. Yet how successful are we at realising the benefits of data, for our customers, partners and colleagues?

This session doesn’t have all the answers, but provides a glimpse of the data transformation journey Specsavers have taken over the last 5 years, some of the successes and failures and what they’ve learnt along the way.

Helen Mannion, Global Data Director, Specsavers

• Early Stages: Data Collection and Processing: Discuss how AI initially focused on collecting and processing large volumes of data to understand network behaviours, identify patterns, and optimise connectivity. This involved the development of algorithms for data analysis, predictive modelling, and anomaly detection to enhance network efficiency and reliability.
• Integration of AI in Network Infrastructure: Explore how AI has become integrated into network infrastructure to dynamically adapt to changing conditions and demands. This includes AI-driven network management systems that can automatically adjust configurations, allocate resources efficiently, and optimize traffic routing in real-time. Additionally, discuss the role of AI in enhancing cybersecurity measures, such as threat detection, intrusion prevention, and automated incident response, to ensure the security and integrity of network ecosystems.
• Future Directions: Sustainable and Resilient Networks: Consider the emerging applications of AI in building sustainable and secure network ecosystems. Discuss how AI-driven technologies, such as machine learning algorithms for energy optimization, can reduce power consumption and carbon footprint in network operations. Furthermore, explore the potential of AI in enhancing network resilience by proactively identifying and mitigating vulnerabilities, ensuring uninterrupted connectivity even in the face of cyberattacks or natural disasters. This is also foundation to build one of the next big things that the industry is starving of: Digital Trust.

Alessandro Bovone, CTO, Nokia

This session explores the complexities and challenges of global digital and AI transformation, highlighting the importance of strategic alignment, technology selection, and continuous innovation in navigating the intricacies of a diverse global landscape.

Ravi Jay, Head of Agile, Jaguar Land Rover

Explore the critical role of platform and architecture in harnessing the power of these technologies to unlock data-driven insights, drive innovation, and shape the future of your organisation.

• Understand the significance of a robust platform and architecture for advanced analytics, AI, and LLM implementation
• Explore key considerations for building an effective platform that supports scalability, flexibility, and agility
• Learn about the architectural components necessary to maximize the potential of new technology
• Discuss real-world use cases, success stories, and lessons learned from organizations at the forefront of these technologies
• Identify challenges and potential solutions for implementing and managing advanced analytics, AI, and LLM platforms

Charles Phiri, Executive Director, SME AI/ML Innovation, JP Morgan Chase & Co

• Challenges and Opportunities in the Energy Sector's Data Ecosystem
• The Role of Collaboration and Innovation in Shaping the Digital Future of Energy 
• Strategies for Harnessing Data to Drive Sustainability and Efficiency

Praveen Tomar, Head of Process Digitization, ofgem

• Examining why collaboration between CDOs and other C-level executives is crucial for successful data strategies.
• Strategies for effective communication and partnership between CDOs and other executives.
• Identifying and addressing common challenges that impede collaboration.
• Real-life examples of successful collaborations and the benefits they brought to organisations.

Steve Janoo, CDAO, Diageo