Data has become an extremely valuable commodity for businesses in the digital age. How can companies unlock new revenue streams from data?

In the era of digital transformation, AI and other generative models have emerged as a cornerstone technology, driving evolution and innovation across multiple sectors.

Take a look at the CDO Exchange 2023 Post Event Report to see testimonials, key takeaways, unmissable insights, and audience statistics as we gear up for 2024!

An interview with Martin French, Chief Technology Data Officer at Apex Group.

Take a look at the CDO Exchange 2022 Post Event Report to see testimonials, key takeways, unmissable insights, and audience statistics as we gear up for 2023!

Rafid Denha, Global Head of Transformation – Compliance Data, HSBC

Download this insightful analysis on Investing in Your Data Transformation. Rafid Denha - Global Head of Transformation – Compliance Data, HSBC. Looking at the importance of People, Tech, Budgeting and Resources.

How Public-Private Partnerships Are Creating New Pathways to Economic Mobility

Two years ago, employers and policymakers alike were grappling with the tightest labor market in fifty years. Conversations about the shrinking shelf-life of skills and the accelerating pace of technological change dominated the headlines.

As we continue to navigate these challenges and opportunities, it’s clear that demand for tech skills will continue to skyrocket. New investment, both from businesses and from the government, will continue to enter the system. As these programs continue to grow, the goal of this white paper is to apply the best of what we’ve learned through these efforts to help local and regional leaders across the country navigate their own community reskilling efforts.

The explosion of data being generated, curated, and shared within organisations in recent years has brought with it unprecedented risks. As consumers and regulators alike are becoming more concerned with the misuse of data, the question of ethics and inherent societal bias in data has been thrust into public consciousness. High-profile data breaches have proliferated over the past few years, so it is crucial that organisations create ethical data practices in order to avoid the astronomical consequences of a breach, not just from a financial point of view, but also from a reputational perspective.

This panel discussed how to navigate the complexities of data ethics in order to foster a trust-based, transparent approach to data and analytics.

• What are the key risks that organisations need to be aware of regarding the ethics of data and AI?
• What metrics/procedures can be put in place to ensure that you can both understand and mitigate your risks?
• How can you ensure that customers have a transparent view of how their data is being used?
• How can you navigate the risk of unconscious societal biases?

Speakers on the panel:

• Sudip Trivedi, Head of Data and Analytics, London Borough of Camden
• Mahesh Bharadhwaj, Head of Europe Analytics, Funding Circle
• Dan Gilbert, Director of Data, News UK
• Nina Monckton, Head of Data Strategy, Advanced Analytics and Data Science, AXA Health
• Moderated by Robin Sutara, CDO, Microsoft
  

As data increasingly emerges as the currency for innovation and competitive advantage, it is essential to build a modern and agile data ecosystem that will support and augment business-decision making. A robust strategy that treats data as a strategic corporate asset is crucial to maximising its value across the business. But as digitalisation proflerates and the world becomes more connected than ever, businesses are grappling with an overwhelming volume and variety of data.

This begs the question: where should you begin in formulating a vision and strategy that connects the disparate parts of the data puzzle to unlock enhanced decision-making capabilities? In this session, Rob McKendrick shared how The Co-Op is building a strategy that places data at the core of the business to both drive internal operational efficiencies and foster improved customer outcomes.

• Moving from federated to centralised operating model to break down functional and data silos
• Aligning your data vision to the creation of customer value
• Embedding trust and ethics into your approach to data usage in order to build transparency

Rob McKendrick, Head of Data Governance and Management, The Co-Op