Technology and Cybersecurity

For the first half of his career in law enforcement, working as a police officer in South Florida, Chase Fopiano did not think cyberattacks on police agencies were a serious threat.

Fears about artificial intelligence are less about replacing people and more about diminishing the value of human skills, according to a global survey.

Connecticut lawmakers announced the formation of the state’s first Artificial Intelligence Caucus last week, highlighting the rapid spread of AI in everyday life and the need to ensure that it serves the public interest.

CFOs looking to bolster cybersecurity at their firms need to have a thorough understanding of both the benefits and disadvantages of artificial intelligence.

Positivity around generative artificial intelligence (AI) has exponentially risen among CFOs at large companies over the last year, but reliance on human involvement remains crucial to success, according to a recent survey.

However, larger companies with over $500 million in annual revenue are significantly more likely, according to McKinsey’s latest report.

As artificial intelligence increasingly shapes hiring, workplace surveillance, and wages, Connecticut lawmakers are debating whether to impose new safeguards. AI-driven systems are already determining pay rates, particularly in gig-economy jobs like those with Uber and Lyft, in which algorithms set fares and driver earnings without transparency.

Technology modernization isn't just another item on the corporate agenda—it ranks among the top four strategic priorities for IT leaders in 2025, according to Robert Half’s latest Demand for Skilled Talent report. That’s no doubt why 55% of technology and IT leaders cited technical debt as their primary barrier to accomplishing their goals.

AI governance was a major theme of 2024, and as the technology continues to evolve, oversight and control—as well as ways to demonstrate it to others—will become even more important this year.

When Michael Ly launched his CPA firm in 2015, his then-revolutionary work model led to some unexpected, and hilarious, circumstances during interviews with potential employees.