tgroenwals shared this post · 2h ago

87% of executives are investing in AI without understanding what they're actually buying:

They're throwing millions at "AI solutions" while their teams can't tell machine learning from deep learning.

Here are the 6 AI model types that you need to know:

1/ Machine Learning Models:
↳ Learn from historical data to predict what happens next.
↳ Cut forecasting errors by 40% in sales, inventory, and risk management.
↳ Think: Netflix recommendations that keep users watching longer.

2/ Deep Learning Models:
↳ Brain-inspired systems that find patterns humans miss in massive datasets.

Joakim William Hauge Great overview, I'd add that this is still largely an engineering view of AI. Once AI reaches the executive team, the discussion changes. The CEO doesn't optimise for Deep Learning vs. Hybrid Models. The CFO doesn't optimise for GPT vs. Claude.

They optimise for:

• Revenue
• Margins
• ROI
• Cost per successful outcome
• Operational exposure
• Capital allocation

That's why I think Operational Visibility is becoming one of the missing layers in enterprise AI. Once autonomous systems start making decisions, leaders need visibility into the economics of those decisions, not just the models behind them.

Hafiz Bilal Haider The hybrid models pipeline has a "fix conflicts" step built right in, which is the honest part most people leave out when they combine models. Getting two specialized systems to agree on one output is usually harder than building either model on its own.

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87% of executives are investing in AI without understanding what they're actually buying: