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At Axtria Ignite 2026, Trust Emerges as the Missing Layer in Enterprise AI

At Axtria Ignite 2026, Trust Emerges as the Missing Layer in Enterprise AI

With discussions led by Axtria's CEO, Jaswinder Chadha, the focus was on building a strong foundation for AI deployment, emphasising data quality, governance, and organisational readiness.

At Axtria Ignite 2026, Trust Emerges as the Missing Layer in Enterprise AI
Smruthi NadigSmruthi Nadig·Published Updated

Key takeaways

  • Axtria Ignite 2026 highlighted the critical need for trust in AI systems within the life sciences sector.
  • Jaswinder Chadha emphasised that successful AI deployment relies more on data quality and governance than on advanced models.
  • A significant percentage of biopharma companies struggle with data quality, impacting AI project success rates.
  • Four essential components for scalable AI include an AI-ready data supply chain, a semantic layer, software guardrails, and governance.
5 min

AI-first data and analytics company Axtria brought together more than 450 executives from over 100 life sciences, MedTech and biotech organisations at its annual Axtria Ignite 2026 conference, where discussions centred on a pressing industry challenge: what enterprises need to trust AI systems operating at scale.

Held on 10 and 11 June at the Princeton Marriott at Forrestal in New Jersey, under the theme "Industrialising Intelligence: The Agentic Enterprise," the invitation-only event featured product workshops, customer case studies, keynote addresses and panel discussions focused on the practical adoption of agentic AI across the life sciences sector.

Opening the conference, Axtria Founder and CEO Jaswinder Chadha argued that successful AI deployment depends less on sophisticated models and more on the quality of enterprise foundations. 

Citing industry data, he noted that around 73% of biopharma companies continue to face significant data quality issues, while as many as 89% of AI pilots fail to reach production. Trust in AI systems has also declined from 61% in 2019 to 53% today, even as organisations prepare for a future involving more than 100,000 AI agents.

Against the pharmaceutical industry's accuracy benchmark of 99.5%, Chadha outlined four essential building blocks for scalable AI: an AI-ready data supply chain, a semantic layer to improve agent accuracy, software guardrails to ensure deterministic precision, and governance frameworks for managing digital workers.

"Before you build the agent, fix the foundation first. The companies that will lead the agentic era are not the ones who moved fastest; they are the ones who built them with trust," said Chadha.

The conference also focused on demonstrating measurable business outcomes from AI deployments. During a mainstage session, Axtria Co-founder and CTO Navdeep Chadha joined executives from Thermo Fisher Scientific and Quest Diagnostics to discuss lessons from production AI deployments, including value measurement, risk management and change management.

Discussions across the event repeatedly highlighted that successful AI adoption depends as much on organisational readiness as technology. In one session, a senior pharmaceutical executive shared that clearly positioning AI as a tool to augment rather than replace marketers helped drive adoption rates above 90%.

Closing the event, the VP of Commercial AI at a top pharma company said, "This is not an AI revolution. It's a people revolution."

Axtria also presented its annual Ignite Leadership Awards to leaders from Bristol Myers Squibb, GSK and Biogen for driving enterprise-wide AI transformation initiatives. The company additionally honoured Quest Diagnostics with its Axtria Bedrock Honour, recognising a 15-year partnership and the deployment of Axtria SalesIQ across approximately 1,300 field personnel spanning 34 sales roles.

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