In an era when AI is rapidly transforming decision-making processes, all organisations face unique obstacles to maintaining public trust and accountability. There’s an increasing temptation to rely more heavily on AI systems’ recommendations, however maintaining transparency, fairness and human oversight is paramount.
With the scaling of business operations across borders and the tightening of contrasting data & AI regulations throughout the globe, the stakes for compliant and ethical data sharing have never been higher. CDOs must strike a balance between enabling seamless global collaboration for maximum impact and adhering to legal obligations that will futureproof your organisation’s data sharing efforts.
CDOs face a critical decision whether to build custom data solutions in-house or purchase on-the-shelf solutions from vendors. This choice goes beyond mere cost considerations, with a focus on fundamental aspects of organisational strategy, competitive advantage and long-term flexibility. As data becomes increasingly central to business operations, the build vs. buy decision has far-reaching implications for a company's ability to innovate, adapt, and maintain control over its data assets.
As organisations recognise the immense value of data democratisation, a new paradigm is emerging: one where every employee becomes a data owner, accountable and responsible for data assets. This session explores the power of having "skin in the game" and how integrating data into people's day-to-day lives can drive innovation, improve decision-making, and ultimately make the traditional CDO role obsolete.
Organisations are increasingly adopting self-service analytics to empower business users. However, this shift can lead to unintended consequences, such as under-communication and misalignment with the overall business objectives. As self-serve analytics becomes more prevalent, it’s crucial to maintain strong connections between technical data professionals and business users. As a CDO, how do you find a sustainable equilibrium to forge data accelerating synergies?
In today’s data-driven business landscape, CDOs must demonstrate tangible value to secure organisational support and resources. This discussion invited you to consider a pragmatic and results-driven mindset.
While innovative and visionary data efforts sound good to the board, there is risk of overpromising and underdelivering, hindering any real efforts to prove tangible value and positioning yourself in the firing line.
In order to stay ahead of the curve, you must embrace radical change and visionary technical data initiatives. In contrast to the previous session, this discussion invites you to adopt an optimistic and forward-thinking mindset.
While practicality is essential, the future of data lies in its potential to inspire innovation and experimentation, driving transformative change across your organisation. By looking beyond current constraints and focusing on possibilities that data can unlock, your organisation can position itself as a data pioneer.
Discuss whether you should take a more pragmatic approach, focusing on meeting practical business objectives through quick wins of short-term data initiatives? Or should you focus on futuristic and somewhat visionary data projects to impress the boardroom to gain executive buy-in?
CDOs are successfully implementing widespread data literacy initiatives across their organisation. However, the development of data literacy programs must go beyond basic data comprehension, focusing instead on equipping teams with skills and strategies to leverage data into a commercial asset.
42% of CDOs prioritise investment in capabilities enabling effective data sharing and democratisation. Pursuing the federated data model is becoming more and more commonplace across industries. But it’s imperative to remain aware of the problems it could create. Should you continue on the track towards democratised data ownership?