artificial intelligence

This Indiana AI Innovation Network case study explores how Intrepid is modernizing commercial underwriting through real-time financial data, AI-powered analysis, and a unified capital platform.

Most enterprises do not need to train foundation models from scratch. The real challenge is making AI inference work reliably, affordably, and at scale within existing infrastructure, cost constraints, and operational realities.

This Indiana AI Innovation Network case study explores how Intrepid is modernizing commercial underwriting through real-time financial data, AI-powered analysis, and a unified capital platform.

SEP’s “build it right or not at all” mindset isn’t a tagline—it’s how the company approaches product strategy, engineering discipline, and long-term client impact. This case study shows how SEP partners with organizations to solve complex problems the right way from day one.

When Baker Hill’s leadership challenged the company to improve employee efficiency by 30%, the team turned to AI. Through a structured approach centered on adoption, governance, and compliance, Baker Hill integrated AI into daily workflows, reduced manual work, and built a foundation for responsible, scalable innovation across its business units.

In Q2 2025, RT Moore, a long-standing innovator in mechanical contracting, partnered with AI consultancy Stellar to address one of construction’s most persistent and costly challenges:  detecting quality issues before they result in expensive rework. With advances in AI becoming more accessible, RT Moore’s CIO, Josh Adams, asked a critical question: “Could artificial intelligence help catch these issues earlier; ideally, during rough-in construction, before they became expensive problems? And if so, where should RT Moore begin?”

In Q1, 2025, AI Innovation Network member Data317 shared two groundbreaking projects that use AI to tackle two significant business challenges: fraud detection and construction cost management. This case study explores these initiatives, detailing the implementation strategies, outcomes and broader implications for businesses.

It’s no secret that marketers thrive on creativity and time-saving hacks and last year saw us, and many others, begin to integrate generative artificial intelligence (GAI) tools such as ChatGPT into our daily work. As 2024 gets underway, it seems opportune to discuss what we learned in 2023 and what that means for martech and […]