I’ve seen IT leaders make major investments in new technology only to discover the root problem wasn’t the system at all. The real difference comes when strong talent is paired with smart process design.
ConsultNet Blog
As one of the fastest-growing healthcare data platform companies in the country, the client was in a period of rapid expansion, acquiring new businesses at a record pace.
A leading U.S. financial regulatory organization partnered with ConsultNet to enhance its Continuing Education (CE) Platform, one of the most heavily utilized systems in the financial services industry.
AI is changing the game. Not by replacing people outright, but by transforming how teams operate, what skill sets you need, and how you should approach hiring.
As environments grow more complex, traditional I&O teams can’t scale fast enough to keep up. But your infrastructure can. Traditional Infrastructure & Operations (I&O) teams are hitting a wall.
When a statewide government system powering essential public services for thousands of residents each day reached the limits of its decades-old technology, leaders launched an ambitious modernization effort—transforming a 90s-era Delphi application into a modern, scalable, cloud-native platform.
Rushed AI tools and standalone apps are failing at alarming rates—not because the technology isn’t advanced enough, but because they weren’t built collaboratively.
Cloud costs are attracting unprecedented board-level scrutiny. Overruns slow innovation, undermine profitability, and introduce uncertainty into strategic planning. In my experience, the challenge is rarely just about the technology.
When one of the nation’s largest and most respected credit unions recognized that inconsistent data governance was slowing decision-making and impacting cross-functional collaboration, they launched an ambitious enterprise-wide Data Quality Program.
Everyone wants generative AI, but most organizations can’t even access the right data. The data isn’t ready. It’s scattered across silos, inconsistent in format, missing key fields, or owned by teams who can’t even agree on definitions.