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.
ConsultNet Blog
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.
Across aerospace, defense, and advanced manufacturing, organizations like Daifuku, BAE Systems, Boeing, and Parker Aerospace operate in environments where precision, compliance, and scalability are critical.
When a nationally recognized online university set out to modernize its cloud ecosystem, leadership knew it wasn’t enough to just migrate systems. Long-term success would require stronger governance, smarter operational processes, and true resiliency across its distributed architecture.