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πŸ“– Quick glossary

  • Lead scoring: rating prospects based on their likelihood to buy.
  • Sales pipeline: the prospect β†’ customer journey, increasingly automated by agents.
  • Lead machine: no-code agent (orchestration + base + AI) that qualifies and follows up on prospects automatically.
  • Demand forecasting: anticipating needs to optimize stock.
  • ROI (return on investment): net gain relative to cost; here (hours Γ— hourly cost) βˆ’ agent cost.
  • Pilot deployment: launch on a small scope, measure, then expand.
  • Upskilling / reskilling: building up skills / retraining in the face of AI.
  • AI Engineer: builds AI applications/agents (fastest-growing role).
  • MLOps Engineer: deploys and stabilizes AI in production.
  • AI Ethics / Governance Officer: ensures AI is compliant and non-discriminatory.

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