With AI Chat having publicly exploded on the scene in the past few months, though still very early days, where do you see it being most disruptive in your business?

Sales/Marketing21%

Competitive Analysis36%

Product Innovation23%

Training8%

Business Forecasting6%

Other (please note in the comments)3%

631 PARTICIPANTS
12.1k viewscircle icon7 Upvotescircle icon11 Comments
Sort by:
CFO15 days ago

Customer service.

Head of Transformation in Governmenta year ago

I chose sales and marketing and am, frankly, surprised by the majority view that it is in competitive analysis. I defer to the crowd but would love to get some examples. For me, genAI is still a very impressive party trick, albeit, a very useful one wherever document analysis, search, and content creation toward different target audiences are to be applied at massive automated scale. However, for real reasoning (and I would put forecasting within the reasoning space - requiring an inductive instead of a deductive logic) I can't trust genAI and far logical, symbolic, physics based AI are still just out of reach, imho. But please educate me on those use cases as I am truly interested.

Chief Data Analytics Officer & SVP Digital Technology in Consumer Goodsa year ago

Definitely see significant impact in content creation and personalisation at scale of marketing and consumer engagement.

Lightbulb on1
Director of HR2 years ago

I chose sales and marketing but ultimately where I see the biggest changes coming is how you prepare to attract business. We now have the ability to synthesize large bodies of information on a business (think published articles, research, social media, website etc) to tailor pitches even more accurately. The ability to record organic client meetings and output summaries and action items further refines the process.

Former VP Integrated Supply Chain in Manufacturing2 years ago

83% of AI effective implementation seems to be in Supply Chain. Competitive Analysis and Forecasting are part of the development. I finally choosed "Others".

Lightbulb on1

Content you might like

We don’t yet have a governance framework19%

We use manual checks or periodic reviews43%

We have defined policies and guidelines for the creation and deployment of agents, which each team ensures independently29%

We have introduced a platform to centrally manage policies, versions, and monitoring of agents5%

None of the above5%

View Results

Uncontrolled data access/privilege creep8%

Shadow agents32%

Audit failure32%

Cross-border data transfer9%

Compliance risks (e.g., GDPR, CCPA, etc.) 17%

Something else (comment below)2%

View Results