A new survey from Cloudera found that 90% of IT leaders believe unifying the data lifecycle on a single platform is critical for analytics and artificial intelligence (AI).
The proliferation of generative AI is highlighting the importance of trustworthy data because AI insights are only as powerful as the data feeding them. However, the survey revealed respondents face obstacles in their AI journeys due to the quality and availability of data (36%), scalability and deployment challenges (36%), integration with existing systems (35%), change management (34%), and model transparency (34%). This demonstrates that while many organizations may be investing in AI, there are foundational data roadblocks that must be addressed.
Additional key findings from the survey revealed three foundational requirements for organizations looking to achieve effective AI:
A Modern Data Architecture Grounded In Business Strategy
- The key to modern data architecture is a single data platform that works seamlessly across public cloud and on-premises. When it comes to the benefits of modern data architectures, the most popular responses were simplifying data/analytics processes (40%) followed by gaining flexibility in handling all types of data (38%).
Unified Data Management
- Today’s organizations need flexible and scalable cloud management technologies that provide the tools to turn information into insights. When it comes to factors that are holding back end-to-end data management needed for AI model development, 62% of respondents said it’s the volume and complexity of data, 56% said data security and 52% said governance and compliance.
Versatile And Secure Data Platforms
- From a long-term perspective, embracing a hybrid data management approach including both on-premises and public cloud deployments is the preferred data and analytics strategy – 93% of respondents agree that “multi-cloud/hybrid capabilities for data and analytics are key for an organization to adapt to change.”
Conducted on behalf of Cloudera by Foundry Media, the survey polled over 600 data leaders and senior IT decision makers about the state of modern data architectures and how the rise of artificial intelligence (AI) is impacting data strategies. To download the full report, click here.
