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Modern data platforms are evolving—and speed, scale, and efficiency are becoming non‑negotiable.

In this episode of Exchanges with Hitachi Solutions, host Matt Volke sits down with Evan Sotos, Engineering Manager for the Empower Data Platform, fresh off his return from NVIDIA GTC. Together, they explore how GPU acceleration is moving beyond AI and machine learning—and into the core of data engineering.

The conversation dives into what Evan heard from engineers, partners, and vendors at GTC, why NVIDIA is positioning itself as an algorithms company, and how technologies like NVIDIA RAPIDS are being used to dramatically accelerate analytics and data pipelines without rewriting existing code.

What You’ll Learn

· Why GPU acceleration is becoming a core capability for modern data platforms, not just AI workloads

· What NVIDIA RAPIDS is and how it enables existing CPU‑based workloads to run on GPUs

· How GPU acceleration can significantly reduce processing time and overall compute costs

· Why “zero code changes” is such a critical advantage for real‑world data teams

· Which types of data workloads benefit most from GPU‑accelerated pipelines

From AI Buzz to Real‑World Data Engineering Impact

While NVIDIA GTC is often associated with AI and large language models, this conversation highlights a broader shift: GPUs are increasingly being applied to traditional data engineering and analytics workloads.

Evan shares how NVIDIA RAPIDS acts as a mapping layer that allows existing Spark and Databricks workloads to take advantage of GPU compute. Rather than forcing teams to refactor complex, production‑grade code, GPU acceleration can be enabled through configuration—making it practical for teams to test, validate, and adopt without disruption.

The result? Faster pipelines, improved cost efficiency, and a shorter path from raw data to actionable insight—especially for large, time‑sensitive workloads.

What This Means for Data Teams

For organizations running large‑scale analytics, predictive models, or operational reporting, time truly is money. Evan explains how accelerating data pipelines can directly impact downstream use cases—from predictive maintenance to real‑time decision‑making—by reducing the lag between data ingestion and insight.

Most importantly, this episode emphasizes practicality: GPU acceleration isn’t about chasing hype. It’s about giving data teams another tool they can turn on, test, and adopt when it makes sense—without introducing risk, rework, or operational complexity.

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The Future of Field Service: From Cost Control to Value Creation

Field service is evolving—and value is the new metric that matters.

In this episode, Ginny Lebeck, Michael Mendoza, and Boris Klimovitsky break down the biggest shifts shaping modern field service, from AI adoption to revenue‑driven transformation. Learn why leading organizations are moving beyond technology for technology’s sake and focusing on outcomes that drive real business impact.

What You’ll Learn

• Why value‑driven transformation is replacing cost‑only strategies
• How AI is unlocking new revenue and operational opportunities
• What it means to “go beyond the field” with end‑to‑end service optimization
• How to measure and prove the value of AI in service operations

Going Beyond the Field

True service transformation doesn’t stop with technicians. This conversation explores how organizations are extending service impact across customers, processes, and the broader business—connecting people, processes, and AI to deliver smarter, more scalable outcomes.

Meet Us at Field Service Next – San Diego

The team also shares what they’re looking forward to at Field Service Next, including connecting with peers, customers, and partners who are navigating these same challenges. If you’re attending, stop by booth #215 to continue the conversation.

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Why Should You Listen?

FABCON is where Microsoft Fabric conversations stop being theoretical and start getting real. This year in Atlanta, Hitachi Solutions is on the ground at Booth 545, focused on one thing: helping organizations turn Fabric potential into practical, measurable outcomes.

To kick things off, we recorded a special, on‑site episode of Exchanges with Hitachi Solutions, bringing together a few of the experts you can meet at the booth—and giving you a preview of the conversations we’re having all week at FABCON.

Meet the voices behind the conversation

In this episode, host Matt Volke is joined by:

• Sree Reddy, Senior Data & Analytics Architect, who’s working hands‑on with customers adopting Microsoft Fabric and demonstrating our Empower Data Platform—showing how organizations can simplify architecture, strengthen governance, and move faster with analytics and AI.
• Philip Rainsberger, Solution Sales Professional for Azure Solutions, who brings a business‑first perspective to Fabric adoption—helping teams prioritize initiatives, align stakeholders, and turn capability into real value.
• Carrie Smedira, Solution Sales Professional, who specializes in bridging the gap between AI ambition and business‑ready outcomes. At FABCON, Carrie is focused on helping organizations cut through the hype and zero in on where Microsoft Fabric and AI can drive measurable impact—quickly and responsibly.

global.hitachi-solutions.com