The Spark Blog

Should it be adopted now, or later when the dust will settle?

Unlike other technology revolutions I lived through (quite a lot since 1984), GenAI is very unique. There was a strong incentive to delay adoption in many technologies. Being a late adopter and avoiding the “childhood sickness” and large gaps in promising but immature technologies was a lesson many learned after adopting cutting-edge technologies too early.

The fact is, only “early adopters” took on new technologies, often failing to put them into production or gaining little value from immature innovations. Why did they do it? (I did it a lot too). Curiosity—being unable to wait and see it for yourself—trying to justify early adoption by believing you’d learn better and faster. This is somewhat true, but the cost was very high.

The GenAI revolution is very different.

This is the first dramatic, massive wave of technology that delivers value from day one. It can cut costs in areas like customer support and chatbots or make businesses smarter by generating insights and knowledge through unparalleled business intelligence usage of GenAI.

I could continue describing what can be achieved today by adopting GenAI across various areas of the business (development, research, QA, etc.), and it’s even getting better.

However, some mandatory enterprise requirements are not yet fully addressed, especially in security, control, and management. These are critical to ensuring more value can be generated from GenAI in corporate settings.

When I say “GenAI for enterprise,” I mean that it gains access to enterprise data—which is mostly confidential and, until now, has been under strict control and monitoring.

So, what is missing?

Security, control, and management.

Is this post related to the stealth-mode startup I recently announced?

Stay tuned to find out.