
Organizations exploring generative AI often find that impressive model demos do not automatically translate into reliable results in production. What determines success is the infrastructure surrounding the model. This is the focus of deepset and its open-source framework, Haystack, which are designed to help enterprises build AI systems that actually reach deployment.

Read the full article here: https://techbullion.com/the-orchestration-layer-enterprises-need-inside-deepsets-approach-to-reliable-ai-applications/

The AI regulatory tug-of-war: Caught between state and federal mandates
"Unlike the EU, where penalties flow from a single AI framework, in the U.S. the biggest risk isn't a single AI fine, it's stacked enforcement. Companies can face state-level penalties, federal enforcement under existing consumer and civil rights laws, and civil litigation, all tied to the same AI system," said Milos Rusic, co-founder and CEO at deepset, a company that builds tools for custom enterprise AI and natural language processing apps.

From Hype to Production: How Milos Rusic Is Advancing Sovereign AI With Haystack
The GenAI race is shifting from model hype to applied systems that deliver business outcomes. According to Milos Rusic, the co-founder and CEO of deepset, the winning layer is AI orchestration, which connects models to company data and workflows, with evaluation, observability, and governance.

deepset CEO Milos Rusic discusses how to develop a European Sovereign Cloud with Cybernews
Speaking with Cybernews, deepset CEO Milos Rusic breaks down the realities of European sovereign cloud, from digital independence and risk management to the architectural choices that make sovereignty real.