At Gartner Data & Analytics Summit 2026, Alteryx highlights business logic as the bridge between trusted data, AI and measurable enterprise outcomes
As enterprises move from AI experimentation to deploying AI across business-critical processes, the challenge is increasingly shifting from access to technology to establishing the context, governance and business rules that make AI outputs reliable. Alteryx is putting this issue at the centre of its showcase at Gartner Data & Analytics Summit 2026 with a focus on governed business logic.
Through its Alteryx One platform, the company is demonstrating how organisations can define, maintain and govern business logic within visual workflows, connecting trusted enterprise data with analytics, automation and AI-driven decisions.
Arvind Krishnan, Chief Technology Officer, Alteryx, is making his first visit to India in the role and will engage with customers, partners and technology leaders on the foundations required to scale enterprise AI. His session, “Alteryx: Put Your Data + AI to Work,” will examine the trust and governance challenges surrounding AI, including requirements emerging from India’s Digital Personal Data Protection framework.
The company argues that making business logic visible, repeatable and auditable can help organisations move AI beyond isolated pilots and into operational workflows where decisions and actions are executed.
“AI needs the business context and logic required to produce outcomes people can trust. When business logic is connected to trusted data and AI, organizations can move faster while maintaining the transparency, control, and accountability required to scale.” — Arvind Krishnan, Chief Technology Officer, Alteryx
“As businesses scale AI, assessing data risk and compliance can no longer be treated as a separate exercise it needs to be embedded into the data and analytics processes that drive everyday decisions,” said Sabya Sen, Vice President, IMEA & APAC, Alteryx.
At Booth 302, Alteryx is showcasing Alteryx One across use cases including governed agentic decisioning, predictive asset operations, finance and audit automation, reconciliation and controls, and supply-chain and procurement spend intelligence.
Sen said India is becoming an important market in the evolution of data, analytics and AI, with enterprises increasingly focused on measurable business value while navigating an evolving regulatory environment.
The broader proposition reflects a shift in enterprise AI strategy: rather than treating data, analytics, automation, governance and AI as separate layers, organisations are increasingly looking to connect them within repeatable business workflows.
For Alteryx, business logic becomes the control layer that can help translate enterprise data into trusted AI-assisted decisions while maintaining visibility and accountability across the process.