4 ways to show customers they can trust your generative AI enterprise tool
Here are ways your generative AI organization can build as an open book while building trust with potential customers.
How can we ensure data security with generative AI tools?
To build trust, generative AI organizations should seek relevant certifications such as SOC2 compliance, ISO/IEC 27001, and GDPR certification. Staying updated on regional data privacy regulations is also crucial. Although there are no specific certifications for generative AI yet, obtaining adjacent certifications can enhance credibility.
What benchmarks should we set for safety in AI?
Providers should create a roadmap with milestones that demonstrate trustworthiness, such as implementing a quality assurance framework and achieving specific encryption levels. Sharing these milestones through white papers and articles can help potential customers understand the provider's commitment to safety.
How can we address concerns about AI accuracy?
Companies should focus on reducing their error rates through rigorous testing and feedback loops. They should be transparent about their performance metrics, such as F1 scores, and explain the types of errors they prioritize. This level of transparency can help build confidence in the product's reliability.
4 ways to show customers they can trust your generative AI enterprise tool
published by Katpro Technologies Inc
Katpro Technologies is your Technology Solutions Company focusing on engineering cutting edge and disruptive solutions for ISVs, Enterprises and StartUps.
We have the reputation of being successful in appreciating every business nuances and excelled at engineering turnkey solutions. Our solutions are not industry specific, but rather are client specific collaborative engagement.
Our Azure Migrations COE has completed over 100+ migrations and assessments over these past few years.
Sign in with LinkedIn