Dagens industri: Proprietary Data Key to AI Advantage & Governance

Businesses are increasingly embracing artificial intelligence, yet realizing substantial value hinges on leveraging proprietary data to establish a competitive edge, according to Dagens industri. Integrating general AI models with internal data sources, such as customer service records and product usage patterns, generates more pertinent and actionable insights. However, this integration introduces complexities related to data management, security, and governance, thereby affecting legal and IT departments. Sofia Edvardsen, founder of Sharp Cookie Advisors, advocates for organizations to empower employees to explore AI's capabilities within a secure framework. "When protection is built into the environment, processes can be kept simpler – so that innovation goes fast but still within a safe framework," she stated. She recommends prioritizing a secure environment to facilitate innovation, rather than immediately pursuing a comprehensive, all-encompassing solution. To ensure a secure, scalable, and profitable AI implementation, organizations must prioritize environmental safeguards, select appropriate data, and integrate privacy and transparency measures. Evaluating data for AI applications, such as Retrieval-Augmented Generation (RAG) or fine-tuning, necessitates balancing business utility and relevance with legal complexities, encompassing personal data, regulatory compliance, international data transfer laws, and intellectual property rights. The article emphasizes that evolving regulations, notably the EU AI Act, are imposing stricter transparency and traceability requirements, underscoring the critical importance of data management, security, and confidentiality. This includes controlling data access, assessing data sensitivity, and implementing robust safeguards to prevent data exfiltration through AI model outputs.