Navigating AI Adoption: Overcoming Data Challenges with Conversational AI

Event Information

• Thursday, November 7th 01:00 PM EST
• 45 Minutes

Join us for a conversation between AI enthusiasts and practitioners on "Navigating AI Adoption: Overcoming Data Challenges with Conversational AI" Many businesses are struggling with the challenges of managing redundant, obsolete, and trivial (ROT) data, security risk and exposure of sensitive information, and calculating the return on investment (ROI) as they adopt Conversational AI. As Conversational AI models, such as Copilot, revolutionize our interactions with technology and transform the way we work, businesses must adapt rapidly to clear the obstacles for AI adoption. In this webinar, we hope to explore some potential solutions pertaining to data management in the age of AI.

Key Topics:

• Evolution of User Experience: Understand the transition from command prompts to graphical user interfaces (GUI), web/mobile applications, and now conversational interfaces.
• Conversational AI and Copilot: Discover how these technologies allow users to interact with technology through voice and text, making interactions more intuitive, personalized, and efficient.
• Challenges of Bad Data, Security Risk, and Calculating ROI: Discuss the difficulties businesses face with bad data, the security risk and exposure of sensitive information, and calculating the return on investment (ROI) in AI initiatives.

Special Focus:

• Managing ROT Data: Establish authoritative data sources, manage content lifecycle, and handle sensitive information securely while purging redundant, obsolete, and trivial (ROT) data.
• Sensitive Data Management: Implement strategies to handle the security risk and exposure of sensitive information and ensure compliance with data protection regulations.
• Calculating ROI: Build compelling business cases, implement measurement strategies, and leverage real-world examples to demonstrate AI's impact. Align AI initiatives with business objectives, develop governance frameworks, engage stakeholders, and manage risks for sustainable AI adoption