Problem: Businesses adopting AI face practical challenges in applying it across different functions while ensuring robust security. This presentation tackles this by examining successful AI implementations in data collection, product redesign, and customer support, with a critical focus on addressing security considerations throughout the AI lifecycle.
Methodology: Through detailed case studies, we'll explore how AI drives improvements in key business areas. We'll analyze the security challenges specific to each application and present the strategies used to mitigate risks and ensure data privacy. The case studies will cover AI-powered data collection at a global manufacturer, product redesign in a software development company, and customer support transformation at a financial services firm.
Conclusions: The case studies demonstrate how AI can enhance business functions while upholding security best practices. Key outcomes include increased efficiency, reduced costs, improved customer satisfaction, enhanced product innovation, and robust data protection.
Implications for Practitioners and Business: Attendees will gain a practical understanding of AI application and strategies to address related security risks. The presentation will offer actionable insights, best practices, and lessons learned for secure AI implementation.