Leaders see GenAI’s potential benefits right there in front of them—speed, efficiency, and a competitive edge—but they’re wary about leaping too far too fast.
Organizations that see productivity gains are thinking about people changes alongside process changes.
Private Equity is undergoing a transformation: AI-driven predictive analytics is reshaping how firms evaluate deals, manage risk, and plan portfolio strategies.
Productivity is being lost, because too many teams are drowning in AI slop, and endless “almost useful” drafts that look impressive but don’t move the work forward.
Human management may be messy at times, but is AI any better? Here are six tips from business leaders and questions to weigh whether AI has what it takes to lead.
The gap between large retailers and Main Street was sharply exacerbated during the Covid-19 pandemic as consumer behavior rapidly shifted toward convenience & flexibility
The rise of AI has brought with it a myriad of problems, each one of which can cause considerable damage.
Specialized AI service firms face challenges as big players move in. Business users must consider vendor lock-in and pricing when setting AI strategy.
When your data is organized for AI, you aren’t just building a database; you are building a landing pad for the digital labor that will eventually run your company.
AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare Earth Moment” for AI.