Nonprofit executives are under constant pressure to maximize mission delivery while maintaining financial discipline. As a result, technology decisions are frequently pulled into the overhead category, judged more on cost than on their ability to enable outcomes. Over time, this creates a hidden but significant gap: chronic underinvestment in the systems, data, and infrastructure required
Artificial intelligence is dominating boardroom conversations across the mid-market. Leaders are under pressure to “do something with AI,” often fueled by headlines, vendor promises, and peer activity. The result is a familiar pattern: organizations move quickly to adopt tools without a clear understanding of how those tools connect to business problems and business outcomes. A
Demographic shifts are driving strong growth in senior living, with the 65-and-over population reaching historic levels. Senior living communities planning for long-term growth are increasingly relying on technology to strengthen staff engagement, resident satisfaction, and overall business performance. As demand increases, many senior living operators are discovering that their existing systems, processes, and staffing models
As digital transformation extends across systems, data, and operations, organizations are learning to navigate new opportunities and new risk. When cybersecurity isn’t built into strategic decision-making from the start, modernization amplifies exposure rather than resilience. Without a deliberate, business-driven approach to cybersecurity, modernization efforts can unintentionally expand risk and embed vulnerabilities that are costly to
AI is transforming the way businesses operate, but most mid-market companies struggle to capture its value. Roughly 85% of AI initiatives fall short of expectations, and nearly 75% never reach full production. The issue isn’t technology; it’s the lack of a clear, actionable strategy. Without a defined AI strategy, organizations risk fragmented efforts that waste
“How do we make sure our AI projects actually deliver business value?” It’s a good question that executives are asking, and an urgent one too. AI is moving fast, and most organizations are still figuring out how to go from early experiments to measurable results. Here’s the hard truth: most AI projects don’t deliver. Studies
Membership engagement is consistently noted as a top challenge for associations. Today’s members assess value through every interaction, from how smoothly they register for an event to how easily they find relevant connections or content when it matters most. When those touchpoints feel effortless and personal, satisfaction rises, and when they don’t, renewal reminders often
Maryland’s new data privacy law, the Maryland Online Data Privacy Act (MODPA) signifies a potential shift in nationwide compliance requirements. Enacted on May 9, 2024, and set to take effect on October 1, 2025, MODPA establishes stringent standards for how businesses collect, process, and protect the personal data of Maryland consumers. It aims to create
Local government officials face rising expectations with limited resources. Citizens demand faster services, better communication, and easier access to information. Unfortunately, many local governments still rely on outdated systems that hinder efficiency. To combat this, leaders are increasingly turning to modern tools to address these challenges, particularly by leveraging AI. According to a 2024 report
When analyzing the digital landscape of an organization, two terms come to mind: digital strategy and digital transformation. While the two are similar, they are not one in the same. Each plays a distinct role in shaping business growth. Digital strategy sets the direction and outlines how technology can support defined objectives, while digital transformation
