In a recent episode of the What If? So What? podcast, May Habib, CEO of Writer, shared valuable insights on the barriers organizations face when it comes to embracing generative AI in their digital strategies. She also discussed how Writer is addressing these challenges and empowering businesses to leverage the power of AI. In this blog post, we will highlight the key takeaways from the discussion and explore how organizations can overcome these barriers to unlock the full potential of generative AI. (Full disclosure: I used Writer to create this blog post)
- Risk Perception: One of the main barriers to adopting generative AI is the perception of risk. Many organizations are hesitant to integrate AI into their workflows due to concerns about the quality of the output, data security, and the potential for inaccuracies or hallucinations. However, May emphasized that the risk associated with trying out AI tools is minimal, especially with the availability of enterprise-ready platforms like Writer. These platforms offer AI guardrails, reusable modules, and built-in governance features that mitigate risks and ensure accurate and reliable results.
- Quality and Customization: Another challenge organizations face is the perception that generative AI tools produce generic or low-quality content. May acknowledged that consumer tools may not meet the quality standards required for business applications. However, she highlighted the importance of building custom solutions that address specific business needs and connect to internal sources of data. By leveraging AI guardrails and brand guidelines, organizations can ensure that the content generated aligns with their brand voice, style, and messaging.
- Data Privacy and Security: Data privacy and security concerns are significant barriers to adopting generative AI. Many enterprises are reluctant to share their data with external platforms or models. To address this, Writer offers a solution that can be hosted within the customer’s private cloud, ensuring that data never leaves their environment. This approach provides organizations with the benefits of generative AI while maintaining control over their data and complying with privacy regulations.
- Starting Small and Building Confidence: May advised organizations to start their AI journey by experimenting with AI tools on a small scale. Whether it’s using free AI tools for personal tasks or implementing AI in specific workflows, starting small allows businesses to gain confidence in the technology and understand its potential. Additionally, reaching out to peers and learning from their experiences can provide valuable insights and guidance for successful AI rollouts.
Generative AI has the potential to transform work and drive significant improvements in customer experience and operational efficiency. By addressing the barriers of risk perception, quality, data privacy, and starting small, organizations can overcome these challenges and embrace the power of AI. With platforms like Writer offering AI guardrails, customization options, and data security features, businesses can confidently integrate generative AI into their digital strategies and unlock its full potential.
To learn more about the insights shared by May Habib and how Writer is empowering organizations with generative AI, listen to the full podcast episode on the What If So What podcast.
