Is your data AI ready?
- Alyssa Dunn
- Jun 26
- 1 min read
Updated: Jul 9
It's becoming clear that many organisations are struggling to scale their AI initiatives due to inadequate data management practices. In fact, this recent CIO article highlights Gartner's prediction that 60% of AI projects that lack AI-ready data will be abandoned by next year!
Article: https://www.cio.com/article/3851377/3-steps-to-get-your-data-ai-ready.html?utm=hybrid_search
What can you do to get your data AI-ready?
Step 1
Rethink Traditional IT Approaches: Legacy systems often can't handle the demands of AI. Modernising with cloud infrastructure is the first crucial step to support AI workloads effectively.
Step 2
Implement AI-Driven Data Management: Utilise AI tools to constantly clean, organise, and catalogue your data, ensuring it's structured and accessible for AI applications.
Step 3
Iterate the transformation: Once foundational data management practices are in place you can make the transformation one AI project at a time.
Ultimately, focusing on your cloud infrastructure and data management first will better position your organisation to harness the full potential of AI.
If you are looking to unify your data and make it AI-ready in the cloud, we can help.
