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Artificial Intelligence (AI) has entered different areas of our world and it will continue to reshape our lives.

Many people associate this technology with intelligent machines with a mind of their own, capable of making decisions, performing different complex tasks, or even developing human-like emotions.

But, scientists are still a long way from creating robots with a sense of self.

However, there is one field in which AI is set to revolutionize and disrupt the way we do things – Marketing.

Recent breakthroughs in this advanced technology have made it possible for marketing to benefit from its different automation, time-saving, and performance-improving features.

Read more here

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  • Latest Post Latest Post by rproffitt

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A useful clarifying note for the thread: shared an external piece and ’s question “where’s the AI?” is exactly the right pushback. In marketing, “AI” typically isn’t a thinking robot — it’s applied models and automation that perform discrete tasks: personalized recommendations and product ranking, programmatic bidding, NLP agents for chat and lead qualification, predictive scoring for churn and LTV, automated creative testing and optimization, and SEO tools that use topic clustering and entity analysis. Large language models now speed content drafts and query understanding, but they require grounding and editorial review.

Practical, measurable steps that separate hype from value: teams should pick one clearly scoped use case with an objective KPI (conversion uplift, CAC reduction, retention), run a short pilot with a randomized holdout, and instrument for incremental lift rather than relying on correlative metrics. Do a data-audit first (identity stitching, sample size, label quality), choose off-the-shelf SaaS when speed matters and build only when differentiation depends on models, and keep a human-in-the-loop for edge cases. Common troubleshooting checks: poor personalization often indicates bad identity joins or stale features; unexpected outputs from an LLM usually mean insufficient prompt context or missing grounding data.

A final caution on ethics and SEO: respect consent and applicable laws (e.g., GDPR/CCPA), avoid opaque or discriminatory models, and do not substitute volume-generated content for user-focused relevance. AI in marketing is an accelerant for scale and insight, not a magic replacement for strategy, measurement, and good data hygiene.

Member Avatar for rproffitt

"Do not post editorial articles that may be published elsewhere"

As posted this feels like spam. Also, AI is still not here. Can you show me AI? Machine learning and such but where's the AI?

Edited by rproffitt because: Posted too fast.
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