The emergence of artificial intelligence (AI) has created unprecedented opportunities across industries and use cases, from healthcare to manufacturing to customer service. As organizations race to implement AI solutions, one critical factor often determines success or failure: the quality and readiness of their data foundation.
AI systems learn from data and use that knowledge to make predictions and decisions. This fundamental relationship means that flawed data inevitably leads to flawed AI systems. A strong data foundation ensures that AI systems are trained on accurate, relevant, and timely information.
In this research brief, AI and Data Infrastructure: A Modern Approach, completed in partnership with Qlik, Futurum explores the critical importance of data quality and the transformative benefits of open architectures in AI development, while also examining Qlik’s solutions for modern AI infrastructure.
Key themes from AI and Data Infrastructure: A Modern Approach include:
- Data quality as the foundation of trustworthy AI, requiring robust governance and adherence to six key dimensions to ensure accurate, consistent, and reliable outcomes, measured through the The Qlik Talend Trust Score™
- How open architectures enable flexibility, cost efficiency, and innovation by avoiding vendor lock-in and supporting seamless integration with diverse tools and platforms.
- A look at modern data integration solutions that ensure AI readiness by delivering accessible, scalable, and actionable data while empowering users with self-service analytics capabilities.
If you are interested in learning more, be sure to download your copy of AI and Data Infrastructure: A Modern Approach today.
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Author Information
Nick is VP and Practice Lead for AI at The Futurum Group. Nick is a thought leader on the development, deployment and adoption of AI - an area he has been researching for 25 years. Prior to Futurum, Nick was a Managing Analyst with S&P Global Market Intelligence, with responsibility for 451 Research’s coverage of Data, AI, Analytics, Information Security and Risk. Nick became part of S&P Global through its 2019 acquisition of 451 Research, a pioneering analyst firm Nick co-founded in 1999. He is a sought-after speaker and advisor, known for his expertise in the drivers of AI adoption, industry use cases, and the infrastructure behind its development and deployment. Nick also spent three years as a product marketing lead at Recommind (now part of OpenText), a machine learning-driven eDiscovery software company. Nick is based in London.
