Databricks Data + AI World Tour

Sydney 2025

Syren Partners with Databricks

The Databricks Data + AI World Tour 2025 across cities around the globe, and Syren was proud to participate as a sponsor and trusted Databricks partner at the Sydney edition, represented by Minu Manisha Babel (Director of Sales), Vibhu Tiwari (VP – GTM & Channels), and Srikant Kalaga (Senior Delivery Manager).

DAIWT Sydney’s atmosphere echoed what we’re seeing across industries: Enterprises are moving decisively from AI exploration to AI operationalization, and intelligent data foundations are becoming the backbone of this transition.

This aligned perfectly with Syren’s go-to-market strategy: empowering Healthcare and Life Sciences, Manufacturing, Retail, and Supply Chain enterprises with governed, scalable, AI-ready data platforms.

Key Highlights

“It was a meaningful opportunity to reinforce our GTM strategy and deepen partner alignment, as we help enterprises understand what it takes to build governed, high-performance data infrastructure for scale.”

Greg Taylor, VP C&SI at Databricks, shared

“Partners play a crucial role in enabling our customers to deliver value with data and AI, and the Syren team is committed to making a tremendous impact for customers across the APJ region. We are excited to build on our existing partnership and see Syren continue to expand their Databricks resources and bring new industry solutions to global customers.”

What Syren Brought to the DAIWT Sydney

At Booth E3, Syren showcased how enterprises can operationalize AI at scale with:

“Our discussions made it clear that enterprises are ready to move from pilots to production-grade AI. Syren’s engineering expertise, migration accelerators, and operational frameworks are exactly what they need to get there.”

Syren’s Takeaway

Sydney reaffirmed a clear shift: AI will be embedded across workflows, architectures must be unified, and governance needs to be automatic. This aligns with Syren’s focus on AI-first strategies, automation-led accelerators, strong governance, and agentic workflows, helping enterprises move from pilots to production-grade, operational AI.

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