AI readiness is about more than just running a pilot or trying out a GenAI demo. AI is helping businesses like yours make smarter decisions, solve tough challenges, and even transform entire industries. But let’s be honest, not every organization is set up to get the most out of this technology just yet.
With original, up-to-the-minute research insights from TDWI, a trusted data and analytics research firm, this comprehensive State of AI Readiness Report from TDWI, co-sponsored by Pecan, offers invaluable insights for you, so you can harness the power of AI in your organization.
Discover where your company stands in the AI readiness landscape and gain actionable strategies to propel your initiatives forward.
Key highlights:
- Most organizations landed at a median score of 62 out of 100 for AI readiness, which means they’re in the Standardizing stage.
- Only 30% of organizations surveyed have an AI strategy in place and are actually putting it into action or building it right now.
- Just 42% of respondents say they have systems that make data easy to access and bring together from different sources.
- Only 12% of organizations say they have a full team with enough data engineers and DevOps people to cover everything they need.
- Fewer than 20% of respondents have a solid data governance plan with clear policies and processes that employees actually follow.
- Pecan bridges the AI readiness gap for you by automating the lifecycle and empowering your existing team to deploy predictive models in minutes without data engineers.
What is AI readiness?
AI readiness is your organization’s ability to plan, build, deploy, and govern AI in a repeatable way. To consider your enterprise AI-ready, you need a data foundation, the right operating model, and clear governance.
- Solid Data Foundation: Your data is accessible, well-governed, and of high quality.
- Operating Model: Your teams work together across functions, use agile development, and have structured MLOps (machine learning operations) in place.
- Clear Governance: Your leaders set up policies, ensure compliance, and manage risk when it comes to using AI.
The five pillars of the AI readiness index
AI readiness is about bringing your people, processes, and technology together. The TDWI assessment focuses on five key areas to build an AI readiness index:
- How ready is the organization
- How ready is the data
- How ready are the skills
- How ready are operations
- How ready is the governance
Key findings about TDWI’s AI readiness assessment
TDWI’s AI readiness assessment received 113 responses from a mix of industries and company sizes. With a median score of 62 out of 100, most organizations are in the Standardizing stage. So, while many have moved beyond just experimenting, most still don’t have consistent, company-wide ways to use AI in production.
Here are the main findings from the TDWI report:
- AI Strategy Execution Still Lags: Only 30% of respondents have an AI strategy, with 9% putting it into action and 21% currently developing one.
- Data Access and Integration Creates a Real Bottleneck: Only 42% say their organization has systems that make data easy to access and combine from different sources.
- Data Trust Remains a Major Gap: 59% either disagree or feel uncertain about having a trusted data foundation for analytics.
- Platform Environments Stay Fragmented: 24% rely on a data warehouse or data mart, and 22% use both a warehouse plus a data lake, but keep the systems siloed.
- Governance Maturity Still Stays Low: Only 18% say their organization follows a strong data governance plan with clear policies and processes.
Don’t miss this opportunity to benchmark your organization’s AI readiness and unlock the transformative potential of artificial intelligence. Download the TDWI business AI Readiness research now to keep up with the rapidly evolving world of data.
