From a customer perspective, how does an IPO or fundraising event change your perception or expectations of a vendor? Are there certain thresholds (i.e. Series C) that you take into account?

LeadershipArchitecture
2.8k viewscircle icon3 Upvotescircle icon3 Comments
Sort by:
Vice President Information Technology in Finance (non-banking)3 years ago

We expect the quality of services and professionalism to increase further.

Lightbulb on3
Director Certifications in Education5 years ago

It is a positive move, it shows growth and expansion of the business.

Lightbulb on3
VP of Product Management in Software5 years ago

Yoni Maman and Herbert Fuchs would love your thoughts

Content you might like

How concerned are you about burnout in your department? Is burnout a problem in your industry?

Read More Comments

What’s the hardest decision you made in the last 6 months that ended up being the right one for your team?

Are you using Microsoft Security Copilot?

Yes (share your experience in the comments)37%

Currently implementing Security Copilot26%

Currently evaluating Security Copilot32%

No — not considering Security Copilot5%

Other

View Results

How often do you survey your organization for new, emerging risks? My company currently does quarterly surveys and I am contemplating dropping it down to 2x/year. Appreciate the insights!

Read More Comments

How frequently do you grapple with the intricate task of harmonizing the metrics utilized to gauge the success of AI initiatives with the fundamental aspirations of your organization, bearing in mind the potential pitfalls of Goodhart's Law? -----Goodhart's Law, coined by economist Charles Goodhart, asserts that when a measure becomes a target, it ceases to be a good measure. This principle underscores the complexities of using metrics for evaluation, particularly in AI development.-----

Routinely - Aligning AI metrics with our organizational goals often proves to be a nuanced endeavor, fraught with challenges stemming from the principles elucidated by Goodhart's Law.31%

Occasionally - While I encounter periodic hurdles in aligning metrics with organizational objectives, the implications of Goodhart's Law are not always at the forefront of these challenges.47%

Rarely - The task of aligning AI metrics with organizational objectives is typically straightforward, with minimal consideration given to the potential distortions highlighted by Goodhart's Law.18%

Never - I have not encountered significant difficulties in aligning AI metrics with organizational goals, nor have I encountered issues related to Goodhart's Law.4%

View Results