Leadership Insights

Open-source technology has been one of the greatest contributors to tech innovation over the past 30 years. The ability to share R&D costs, reuse common code blocks, and accelerate proprietary applications fostered a technological boom that still shapes the digital ecosystem we occupy today.

President Donald Trump’s proposed FY 2026 budget slashes funding for federal agencies, including NSF and NIST, which support tech research and innovation in the U.S.

In 2020, Swiss-based Roche, one of the world’s largest healthcare and pharmaceutical companies, undertook a significant robotic process automation (RPA) implementation for their Asia division. Despite substantial investment and meticulous planning, they encountered a major and unexpected obstacle: People. Roche noted that the “human side of change remains the most challenging element in managing any digital transformation. Resistance to change results in slow technology adoption, internal bottlenecks, and low return on investment.”

While AI Agents, or agentic AIs, are being touted as the next leap in human productivity, the unadvertised reality is that, like other AI technologies, they are only as good as the humans that design and use them.

U.S. federal budget cuts have started to have some early impact on space startups after funding for such companies dropped 12.5% in the first quarter, according to investment firm Seraphim Space.

During my tenure in Congress, I observed a fundamental truth about American democracy—when Americans vote for change, they vote because of their wallets. It’s that simple.

Immense change is happening throughout the country, especially for government contractors, but a two-day session can help solidify your company's future—no matter what it holds.

I have built a career telling hard truths to CEOs. I tell them the things they may not want to hear but need to. When a leader is working through an M&A deal, one of the first truths I bring up is this sobering fact – 70% of M&A deals fail.

American families can’t afford a street fight when it comes to housing reform.

LinkedIn, the professional networking giant, was recently caught collecting user data to train its generative AI. The controversy was exacerbated by the fact that LinkedIn began this data collection without prior explicit consent from its users.