87% of executives are investing in AI without understanding what they're actually buying:
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.
↳ Process unstructured data at scale without manual programming.
↳ Enable breakthroughs in medical diagnosis, fraud detection, and quality control.
3/ Generative Models:
↳ Create new content from learned patterns (ChatGPT, Midjourney, and Claude).
↳ Replace hours of manual work with seconds of automated creation.
↳ Transforming marketing, software development, and design workflows.
4/ Hybrid Models:
↳ Combine multiple AI systems to solve complex multi-step problems.
↳ Do different tasks using specialized models for maximum impact.
↳ Handle end-to-end business processes that no single model alone can manage.
5/ Natural Language Processing Models:
↳ Turn human language into actionable, business intelligence.
↳ Automate customer support, contract analysis, and document processing.
↳ Extract insights from emails, reviews, and reports enterprise-wide, at scale.
6/ Computer Vision Models:
↳ Turn visual data into automated decisions with the quality controlled.
↳ Used for autonomous operations, medical imaging, & safety monitoring.
↳ Replace manual inspection with 24/7 automated visual analysis.
Stop buying AI hype. Start investing in models that can solve your specific organizational and business problems.
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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.