Databricks Data + AI Summit 2026
Build AI-Ready Data Platforms on Databricks. Not Just Pipelines.
Meet United Techno at Databricks Data + AI Summit 2026 and see how enterprises are accelerating Databricks from experimentation to production-grade, governed, AI-ready platforms.
Pre-Summit. During the Summit. Post-Summit. We’ll make it work.
From Fragmented Pipelines
Production-Ready, AI-Ready Data in Days
Up to 5× faster pipeline deployment for standardized ingestion patterns
60–80% reduction in manual effort using DataAccel config-driven pipelines
30+ Data sources unified across environments
25-30% Cost optimization across workloads
Near real-time analytics enablement
Analytics-ready data in < 1 week
AI Impact
- AI data readiness accelerated by 70–90% in structured data environments
- 70% less data prep effort
- Significantly reduces data modeling time using LLM-assisted generation
Why This Matters For Databricks
DataAccel accelerates Databricks implementations by standardizing ingestion, transformation, and orchestration on top of native Databricks capabilities.
We help you operationalize it for AI.
- From raw data → AI-ready datasets
- From notebooks → production pipelines
- From experiments → scalable systems
Quick walkthrough. No fluff. Real architecture.
Who You’ll Meet
Ed Wiggins
Global Vice President, Sales and Alliances, United Techno
Ed leads global sales and strategic partnerships at United Techno, driving growth across data and Salesforce practices. With prior leadership roles at Boomi, Liaison Technologies, and Contivo, he brings deep experience in building partner ecosystems and scaling enterprise integration programs. He has spent over a decade working closely with global system integrators and enterprise partners, shaping alliance strategies and expanding go-to-market reach. At United Techno, he focuses on expanding alliances across modern data platforms and helping enterprises accelerate adoption through the right architecture and partnerships.
Nitin Goswami
Senior Manager, Data Engineering & AI/ML
Nitin is a data engineering and AI/ML leader with 14+ years of experience building enterprise data platforms and modern analytics ecosystems. At United Techno, he leads delivery and solutioning across Snowflake, Databricks, Microsoft Fabric, and Amazon Redshift. His work focuses on cloud data migrations, scalable architectures, and practical AI/ML integration across retail, logistics, and life sciences, helping organizations move from fragmented data to production-ready insights.
He has extensive experience working with enterprise technology clients, delivering large-scale data platform transformations and analytics modernization programs in complex, multi-system environments.
What We’re Showcasing at Databricks Data + AI Summit 2026
Databricks Lakehouse Engineering (Delta Lake + scalable pipelines)
DataAccel – Config-Driven Data Engineering Framework
AI-ready data pipelines (built for ML, not retrofitted later)
Industry-ready data + AI acceleration patterns
Live at the Event
DataAccel Demo (On Demand)
See how ingestion, transformation, and governance get configured - not coded.
What You’ll Get in 15 Minutes
No pitch. Just architecture.
We’ll quickly assess:
- Is your ingestion model scalable (batch / streaming / hybrid)?
- Are your pipelines optimized for scalability and cost on Databricks?
- Is your lakehouse actually AI-ready - or just storing data?
- Are governance and lineage embedded or reactive?
- How fast can you onboard a new source today?
No pitch. Just architecture.
- Clear architecture gaps
- Immediate optimization opportunities
- Practical next steps you can act on
What We’re Building with
AI + Modern Data Platforms
This is where most Databricks conversations are heading.
We’re already building it.
Core Databricks Capabilities We Work With
Why Teams Meet Us at Databricks Data + AI Summit 2026
Because Databricks success isn’t about tools – it’s about execution.
What We Bring
- Architecture-first Databricks engineering
- Faster onboarding without heavy coding cycles
- Governance built into pipelines - not added later
- Proven acceleration using DataAccel
What You Walk Away With
- Clear view of what’s slowing you down
- Where you’re over-engineering
- What to fix first - and how
Not Sure If Your Databricks Setup Will Scale for AI?
Most problems aren’t platform issues. They’re architectural decisions.
Measured Impact Across Implementations
Capability | Impact |
Pipeline Deployment | 5× Faster |
Automation | Up to 90 – 95% |
Cost Optimization | 25-30% Reduction |
Manual Effort | ↓ 60-80% |
Data Onboarding | Weeks → Hours |
Time to Insights | < 1 Week |
Can’t Meet at the Event?
We’ll connect before or after Summit with a focused architecture session tailored to your environment.
Don’t Just Explore AI. Actually Operationalize It.
Most teams leave Summit with ideas. You leave with a plan.
Limited slots across Summit week. Book early.
Let’s Build the Future of Data Engineering
Meet United Techno at Databricks Data + AI Summit 2026 to explore scalable data engineering, AI-ready analytics, and modern data solutions.
Get in touch with our experts for a quick demo.
