Artificial Intelligence

The world seems to be buying the hype of using artificial intelligence in tax preparation, but I’m skeptical. I don’t believe AI can substitute for the professional judgment and human insight that form the bedrock of financial accounting and tax practices.

Agentic AI’s reasoning and planning capabilities can help supercharge your IT org by making decisions and handling tasks with little or no human intervention.

I’ve worked at the bleeding edge of robotics innovation in the United States for almost my entire professional life. Never before have I seen another country advance so quickly.

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.

Price unpredictability and other cost concerns are proving to be significant barriers to AI adoption for many IT leaders, with outcomes and ROI weighing in the balance.

With deals and cross-departmental alignment at year’s end, starting AI discovery in Q4 is essential for organizations looking to adopt AI.

As businesses worldwide race to integrate AI into their operations the biggest roadblock may not be a tech issue but a hiring one.

Predictive AI is a subset of artificial intelligence that uses past data and machine learning to guess what might happen in the future.

Recently, a multitude of providers have popped up in the R&D Credit space. These “pop-ups” try to cover up shortcuts and inexperience with AI and slick marketing, putting taxpayers at risk and casting shade on the complex incentives industry as a whole.

With inflated generative AI expectations giving way to let-down, IT leaders should consider specialized models, more realistic targets, and other forms of AI.