Artificial Intelligence

In 2022, the President and Treasury Secretary asked me to lead the IRS through “the largest technology-enabled transformation of the agency” in its history.

The gap between access and ownership is quietly becoming the most important strategic question in financial services. AI is already shaping credit decisions, incentive calculations, and compliance workflows. It's no longer at the edges. It's inside the core operating model. And that changes everything about how you should be thinking about it.

The very nature of language models—large language models (LLMs), foundation models, and frontier models—confounds the notions of explainability and transparency.

CIOs can drive AI ROI with strong design, governance, interoperability and modern IT infrastructure.

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

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

As a CEO, I’ve seen so many allegedly “game-changing’” technologies come and go this century – from AR/VR technology, blockchain, 3D printing, the Metaverse, NFTs, Web3, and the list goes on and on.

To stay competitive, traditional companies must rethink the definition of a tech employee. The traditional tech industry is losing its allure for potential employees.

The Internal Revenue Service plans to leverage artificial intelligence to identify patterns of noncompliance in large partnerships, while also ramping up its examinations of high-income taxpayers and big corporations.