Graphic for the Indiana AI Innovation Network case study titled “Driving Employee Efficiency,” featuring the Baker Hill logo. The design includes the TechPoint and Indiana AI Innovation Network branding with pink, gray, and white geometric accents.

Case Study: How Baker Hill Used AI to Boost Employee Efficiency by 30%

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.

TechPoint launches CDO Network to advance data strategy and innovation across Indiana

INDIANAPOLIS (July 23, 2025) — TechPoint, the industry-led growth initiative for Indiana’s digital innovation economy and overall tech ecosystem, today announced the formation of the Indiana CDO Network, bringing together the state’s best minds in data and analytics.   The network, which will hold its inaugural meeting in August, formalizes a previously organic consortium of central […]

Parkview Health’s global challenges spur innovation, improve healthcare

Since launching its first Healthy Mom and Baby Innovation Competition in 2020, Parkview Health has embedded innovation into the fabric of its mission to improve health and inspire well-being. In partnership with MATTER, a leading healthcare incubator, the initial competition quickly evolved into a globally recognized platform for advancing maternal and pediatric health. In its […]
Header graphic for the Indiana AI Innovation Network case study titled “Driving Innovation with AI,” featuring the Stellar logo. The design includes TechPoint and Indiana AI Innovation Network branding with pink, gray, and white geometric accents.

Case Study: In Search of Flawless Execution – RT Moore’s Machine Vision Journey

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?”

The Death of Ideation Tech Startups in the AI Era 

In the golden age of tech entrepreneurship, all it took was a compelling idea, a strong team, a minimum viable product , and a well-designed pitch deck to get a foot in the door with investors. Ideation-stage startups, companies built around nascent concepts with minimal traction, were once the darlings of seed-stage venture capital. A […]