Peer Insights
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AI and Research in Marketing and Communications: How Are You Ensuring Quality and Truth Over Speed? As AI becomes embedded in our day-to-day marketing operations, from customer insight to content strategy, it’s clear we’re gaining speed and scale. But are we sacrificing veracity and quality of output in the process? One of the biggest challenges I'm seeing is the rise of hallucinated content in AI-generated research. - How do we ensure AI systems are surfacing trustworthy, contextually accurate, and well-sourced information? - Are we building enough verification layers into our AI-driven content and research workflows? - And how are you educating teams (and execs) to challenge AI outputs, rather than accept them at face value? - What frameworks, tools, or governance models have you adopted to maintain integrity and depth in AI-led research and insight creation? - Have you had success (or struggles) balancing speed vs. substance in AI-powered strategies? Your thoughts, examples, and recommendations would be incredibly valuable in helping others try to navigate this shift responsibly.
We are currently developing an Open Source (OS) Policy for our company. To guide us through this process, we are following several Gartner publications. However, we are also looking for real-world implementation cases. Do you know of any examples of OS Policy implementation that you could share with us?
Strongly Agree31%
Agree61%
Disagree11%
Strongly Disagree1%
I’m reaching out to connect with peers in State K-12 education agencies who have developed home-grown solutions for assigning and managing Unique Student Identifiers (UIDs)—particularly for enrollment tracking and state/federal reporting. If your organization has implemented an in-house system for student ID management, I’d greatly appreciate the opportunity to learn from your experience.
Very inclined: I believe in constantly pushing for innovation and improvement, even if the current systems are effective45%
Moderately inclined: I'm open to innovation and change, but only if it clearly enhances or adds value to the existing systems48%
Not inclined: If the current systems are working effectively, I prefer to maintain stability and avoid unnecessary changes6%
Does someone have advice on how they have balanced the risk/reward as it relates to introducing Open-Source Software to organization? My org is dipping its toe into the OSS world and the architecture and risk governance teams are looking to get ahead of these requests by coming up with policies and standards for OSS technology being brought into our environment. To clarify, this is not for software development and CI/CD pipelines, SDLC etc. This is for installing solutions that already exist out there (Zabbix, GreyLog, Prometheus etc.) into the organization's environment. We are looking to provide a balance on the obvious risk with the ability to move fast (like everyone else now).
I’m putting together a simple word cloud that captures the top concern of executives right now, in just “one-word.” please drop your “one word” below. I’ll make sure to share the final results here as a small thank-you.
What is the general community sense of TikTok out there these days?
We opted to block it from our corporate devices and networks prior to the official US Government ban both from an infosec perspective, and also to avoid the politics of its use. Our marketing department has pushed several times to have some controlled access because they believe it can be used as a recruiting tool. So far they have not challenged this with any credible data to back that belief up, but we will be re-engaging with them on this topic again soon and expect more pressure.
I'm curious what the general perception is out in the community? Have you encountered any credible information security threats or has this "threat" been revealed to be a political paper one? I'm not seeking recommendations for what we should do, more to gauge what others are doing and how you're basing your decision.
Has anyone had success with creating a multi-disciplinary AI community, where individuals from the organization could share their experiences and stories with Gen AI adoption. I am curious to know what channels you might have used. Teams and Share point are unable to do a whole lot of justice.
We are looking for internal Audi systems options that fulfill our main requirements which are SaaS based hosted ONLY within the Saudi Arabia. The preferred solution should cover internal audit domain , subscription based and hosted inside Saudi Arabia to fulfill cybersecurity regulations. What are your recommendations?
I recently came across several academic papers where the Ethics and ethical deathbots implications were explored.
Deathbots are AI-bots trained on digital memories of people passed away and you can think about the potential therapeutic usaged but also all the inherent attention points.
I'd like to know your position about.
I believe we should denie at all such bots43%
I believe they could be useful but only with a strong regulation 43%
I still have to figure out Pros and Cons13%
I don't know... let me write more in the comments