Brief news summary

Experts from Qlik Connect 2024 highlight the significance of data integrity in successful artificial intelligence (AI) implementation. Neglecting data quality can lead to operational failures, regulatory violations, and financial losses. The Qlik AI Council identifies two risks associated with disregarding data integrity: falling behind competitors and facing crises caused by AI adoption without maintaining integrity. To ensure effective AI initiatives, the Council emphasizes the importance of reliable data foundations, including transparency, fairness, and accountability in AI development. They also stress the authenticity and trustworthiness of AI-generated content. Building AI in a socially responsible manner aligns with sustainability goals and promotes trust. The Qlik AI Council provides guidance on ethical and trustworthy AI innovation. Prioritizing data accuracy, diversity, security, and structure is crucial for successful AI adoption, as ignoring data integrity can have severe operational, financial, and reputational consequences. As a leading provider of advanced AI/ML and data management solutions, Qlik enables organizations to transform complex data into actionable insights.