Is your role at your organization expanding to include new responsibilities?
Data Analytics21%
Operations26%
Business Development21%
Customer Service6%
Product Development12%
Marketing4%
Finance2%
Procurement2%
Sales2%
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What do you do to recover quickly from early missteps in a new role? How can you keep initial mistakes from coloring perceptions when you’re still trying to establish your reputation at a new organization?
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.
What are the biggest technical challenges preventing organizations from being able to use their existing data to enable digital transformation?
Finding data and putting it to good use13%
Controlling the security and privacy of data45%
Understanding how data is currently being used20%
All of the above19%
None of the above1%
Curious how others use AI to identify internal talent for open roles or learning pathways? Particularly looking to learn how to best leverage AI to advance internal talent overall.
What will be the effects of AI on meaningful work?
Mostly Replacing18%
Managing the Machine65%
Minding the Machine62%
Amplifying- Productivity Boost37%
IT is now a profit center, not the price of doing business.