Commentary: Agricultural innovation is accelerating thanks to AI. Will it be enough?
As I noted recently, organizations often find the biggest success through small steps with artificial intelligence. There are many examples of this at work, but Linux offers a great one. Linux started out as a student desktop experiment before it creeped slowly into companies as a reliable print server before eventually taking over the data center and the cloud (and Mars–it’s on both the Chinese and U.S. rovers there). Incremental steps can add up to big things.
In the area of food production, it needs to. After all, if food production must nearly double as the global population reaches 10 billion by mid-century, as land under cultivation shrinks, we’re likely going to need AI to step up to help feed all those people sustainably. But how?
Commentary: Cloud governance tools written for one cloud are useful… for that cloud. Cloud Custodian’s open source approach may offer a better way.
Stacklet arguably shouldn’t exist. The company just launched Stacklet Platform around the open source project Cloud Custodian, but one of the cloud providers probably should have built something similar first. Stacklet makes it straightforward to embrace a policy/governance as code model to provide real-time policy enforcement across all clouds via detection, notification and remediation, using a simple, declarative language.
SEE: Cheat sheet: The most important cloud advances of the decade (free PDF) (TechRepublic)
Every cloud has this need–a way to do policy as code at scale–yet it’s Stacklet developers (along with a growing community) that built Cloud Custodian. Perhaps the reason why, said Stacklet co-founder and Cloud Custodian creator Kapil Thangavelu, is that individual vendors are focused on a comparatively narrow view of the world.