Webinar – From AI Prototype to Production on Databricks with DevIQ and Adtran

Join DevIQ, Databricks, and our client Adtran, a telecommunications industry leader, for a real-world look at how organizations can turn ambitious AI ideas into scalable, engineered capabilities.

Using Adtran’s network-intelligence initiative as the case study, the panel will explore how DevIQ's solutions experts guided Adtran to establish the right data foundation, validate valuable use cases and overcome the architectural and operational challenges between an AI prototype and production.

October 14, 2026 · 8am PT / 9am MT / 10am CT / 11am ET – 60-minute Live Webinar and Panel Discussion

Our Panelists

Shawn DavisonDevIQ, Managing Partner

Shawn Davison is a Managing Partner at DevIQ, where he connects product vision, software architecture, and technology delivery. He brings decades of experience turning ambitious ideas into practical products and transformative user experiences.

Alex MabryAdtran, AI Transformation Lead

Alex Mabry is AI Transformation Lead at Adtran, where he focuses on how AI changes the way enterprise software gets built: developer platforms, adoption across engineering teams, and the data and governance foundations that make it work in practice.

Sairam Kamal RajDatabricks, Solutions Architect

Sairam Kamal Raj is a Solutions Architect at Databricks, where he specializes in data and analytics. He brings a platform perspective to the discussion on the data foundations and architectural decisions involved in moving AI from prototype toward production.

Amit AgrawalDevIQ, Solutions Director, AI & Data

Amit Agrawal is Solutions Director, AI & Data Science at DevIQ, where he focuses on machine-learning strategy, product integration, and enterprise AI delivery. He brings deep experience deploying advanced models and building scalable, explainable AI systems.

Moderator

Mark Stratton is Solution Director at DevIQ, where he connects business priorities with practical solution strategy and client delivery. As moderator, he will guide the discussion across Adtran’s experience, the Databricks platform, and the path from prototype to production.

Mark StrattonDevIQ, Solutions Director

About Us

DevIQ engineers modern software, data and AI solutions, bringing strategy, architecture and delivery together to create durable business capabilities.

Adtran delivers networking solutions for the AI era, using flexible, disaggregated technology to reduce complexity, scale efficiently, and turn network data into actionable intelligence.

Databricks provides a unified platform for data, analytics and AI, supporting the path from experimentation to governed production.

What We’ll Explore

Moving an AI concept from an effective prototype to a dependable business capability requires more than a successful demonstration. It involves decisions about data, architecture, evaluation, governance, integration, and long-term ownership.

Drawing on DevIQ's work with Adtran, the panel will explore topics such as:

Building a scalable data and AI foundation on Databricks
Identifying and validating AI and machine-learning use cases with meaningful operational value
Navigating the transition from experimentation to engineered product capabilities
Establishing appropriate architecture, evaluation, governance, and integration practices
Combining predictive machine learning with GenAI, knowledge retrieval, and emerging agentic patterns
Enabling internal engineering and product teams to take ownership as capabilities mature

Special Offers

Are you already on Databricks?

Attendees to the live webinar qualify for a complimentary Databricks Well-Architected Review from DevIQ.

We will evaluate your Databricks environment against established best practices and identify opportunities to improve performance, reliability, security, governance, cost efficiency, and AI readiness.

Are you new to Databricks?

Attendees to the live webinar qualify for a complimentary Databricks Consultation and Assessment from DevIQ.

We will assess your goals, data landscape, and organizational readiness, then identify practical opportunities and define a clear path toward a secure, governed, and scalable Databricks foundation.