Gartner* have found that by 2026, organizations that operationalize AI for three core focus areas, will see their AI models achieve a 50% result improvement in terms of adoption, business goals and user acceptance. So what steps do we need to take to get there? Our experts talk through the necessity of company-wide task force and solutions that protect data used by AI models. Do we need to use different data protection and model security methods for different use cases and their components? What level of trust, transparency and security is needed? Are there actions can we take now to ensure future success in this area? If we create secure foundations, how will it affect our data? How will it help grow your brand?