The AI Transformation is Gathering Steam: 5 Ways to Prepare Your Organization
The AI transformation is gathering steam. Consultancy Carruthers and Jackson’s recently released Data Maturity Index found that just 7% of organizations don’t use any form of AI, a significant drop from 26% last year.
The Pace of Adoption is Proof of AI’s Value
Caroline Carruthers, CEO at Carruthers and Jackson, told ZDNET that the pace of adoption is proof that generative AI and machine learning are now business-as-usual technologies.
"A lot more organizations are openly admitting they’re using AI," she says. "I would say we’ve gone over the tipping point. AI has moved into the space where it’s proved itself useful."
The Double-Edged Sword of AI
However, it’s not all good news. Carruthers and Jackson’s report shows that the rapid adoption of AI complicates the data landscape.
While more businesses are embracing AI, they are not necessarily ready for the rise in automation and won’t be able to make the most of the emerging technology they deploy.
5 Ways to Prepare Your Organization for an AI Transformation
To overcome this challenge, here are five ways to prepare your organization for an AI transformation.
1. Create a Formal Data Strategy
Experts suggest an effective data strategy is crucial to helping organizations use AI safely and successfully. However, the report found that over a quarter (26%) of organizations still lack a formal data strategy.
2. Establish a Tailored Governance Framework
Over a third (39%) of organizations report they have little or no governance framework. While these figures show a marginal improvement over previous years, the report suggests they underscore persistent gaps in foundational data management practices.
3. Get Tough on Ethical Practices
There’s wide recognition among industry experts about the dangers of using AI without a consideration of the risks. Yet, the report highlights that while 44% of organizations have seen a moderate rise in ethical discussions around AI, only 13% have formalized these conversations into structured policies.
4. Train the Right People
The report also stresses that while 53% of respondents reported more AI usage, over half (57%) said most employees still lack data literacy.
5. Focus on Decision-Making Processes
As data complexity increases, organizations must address foundational issues such as inefficient or insecure data flow, reported by 40% of respondents in the report.
Conclusion
The AI transformation is a double-edged sword. While it offers many benefits, it also presents challenges. To overcome these challenges, organizations must create a formal data strategy, establish a tailored governance framework, get tough on ethical practices, train the right people, and focus on decision-making processes.
FAQs
Q: What is the current state of AI adoption in organizations?
A: According to Carruthers and Jackson’s Data Maturity Index, 7% of organizations don’t use any form of AI, a significant drop from 26% last year.
Q: What is the main challenge in adopting AI?
A: The main challenge is that many organizations are not ready for the rise in automation and won’t be able to make the most of the emerging technology they deploy.
Q: How can organizations prepare for an AI transformation?
A: Organizations can prepare for an AI transformation by creating a formal data strategy, establishing a tailored governance framework, getting tough on ethical practices, training the right people, and focusing on decision-making processes.
