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At Qlik Connect 2025, Olawale “Wale” Oladehin of AWS reflected on the progress made since the AWS-Qlik collaboration was initiated, emphasizing shared goals in advancing enterprise AI adoption and aligning around open standards, scalability, and governance. Wale highlighted how joint customers benefit from Qlik’s strength in data integration, movement, and quality, paired with AWS’s robust infrastructure and AI capabilities. The partnership ensures enterprises can easily scale AI workloads with reliability while leveraging both platforms for better data-driven insights. One of the key developments they discussed was the shared commitment to open frameworks like Apache Iceberg, which boost interoperability and reduce vendor lock-in—a vital factor for modern analytics and AI workloads.
Wale also explored how AWS and Qlik are delivering customer confidence in generative AI use cases through tools like Amazon Bedrock. These technologies foster responsible AI usage by incorporating features like agent orchestration, LLM guardrails, and governance layers to help prevent misinformation such as hallucinations. The interview underscored how customers, particularly in regulated industries like finance and pharmaceuticals, are rapidly adopting gen AI due to already having solid foundations in data security and compliance. Wale emphasized that AWS builds backward from customers’ needs, ensuring they apply AI solutions appropriate to their business goals, whether building custom models, implementing agents, or utilizing fully managed services for immediate productivity boosts.
The discussion also touched on broader industry shifts, notably the normalization of cloud infrastructure. Wale commented that today’s enterprises not only trust the cloud but view it as a default platform, expecting seamless SaaS and infrastructure-level services. This shift is emphasized through AWS and Qlik’s integration strategies, delivering flexibility through cloud-native but hybrid-compatible solutions. At his Tech Field Day presentation, Wale elaborated on these themes, showing demos and discussing the practical application of AI on AWS for Qlik users.
Personnel: Stephen Foskett, Wale Oladehin
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