In the past year or so, many organisations have effectively navigated the generative AI landscape - exploring the potential of this transformative technology, overcoming challenges and achieving successes.
While these early adopters vary greatly in terms of size, industry and how they’ve applied GenAI, they all have this in common: a sound data strategy combined with a reliable and governed data foundation.
But other organisations have not been so successful, due to these obstacles:
- Inadequate technology to provide advanced data capabilities
- Limited or non-existent data-driven innovation
- Gaps in data roles, skills and processes
- Anxiety around governance, security and compliance
When it comes to data maturity, how does your organisation stack up?