As Director of Data & AI for Hitachi Solutions America, I have a unique view of what’s working for our customers in a very repeatable, tangible, valuable way. Digging into how enterprises are unlocking value from generative AI solutions is what we do best, and recently I had the opportunity to sit down with Solution Architect and Data Scientist Fred Heller to talk about three of our top generative AI solutions that resonate in pretty much all industries. That’s why we’ve dubbed them “Agile AI.”
Realizing Value with Hitachi Solutions
While the buzz continues to build and multiply, at Hitachi Solutions, we’ve been using Generative AI and Large Language Models to address real customer challenges for years. Our proven Agile AI Solutions continue to deliver secure outcomes, automate processes, generate content, and provide customer-centric innovations that scale—from invoice automation to advanced knowledge management.
Tune in to learn:
- The difference between out-of-the-box AI tools and customized solutions
- How AI delivers measurable impact across industries
- How Hitachi Solutions leverages Microsoft Azure for secure, scalable, and transformative results
Change Management in the Era of AI
To adopt Generative AI effectively and responsibly, companies need a robust strategy that cuts through the noise and targets real business objectives. It starts with a clear understanding of pain points, desired outcomes, and how Generative AI capabilities align with those needs. Key steps include evaluating existing infrastructure, skillsets, and resources to build a practical implementation roadmap.
The experienced team at Hitachi Solutions—made up of veteran industry leaders—offers invaluable guidance on best practices, trends, and pitfalls to navigate on your Generative AI journey. By blending outside expertise with your company’s strengths and a tested strategy for change management, you’ll build an actionable approach that delivers genuine results.
Contact us to get started.