AI in oil and gas sales

Do we need to clean up our data before using AI?

The show frames clean data as where it starts: you are wanting to build clean data so that these things can work more effectively and understand you.

Understand you is the operative phrase. The argument is not the usual garbage-in warning about accuracy; it is that a model reading your material forms a picture of what your company is, and a scattered picture produces scattered answers.

The same episode extends this to how models decide what to cite. If content meanders off a specific theme, the reasoning goes, the model judges it not directly about that and prefers something it trusts more.

Worth keeping in mind. Which makes focus a technical property now, not just an editorial preference.

Source: AI’s Impact on Oil & Gas Sales: 5 Key Strategies, episode 92 of the Oil & Gas Sales & Marketing Podcast.

Other questions

The next step

Bring this to your own pipeline

If the way energy buyers actually buy is costing you deals, talk it through with ModalPoint, the go-to-market firm Matthew Bertram runs. A 30-minute discovery call: no scope, no commitment, and a mutual NDA before anything substantive. You get a reply within one business day, and the first call is with someone who works in the sector.