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” For privacy to become one of the leading selling points of software, competitive dynamics & user preferences have evolved. Enterprises push for their data to be under their control in virtualprivateclouds, in open data formats like Iceberg, to run AI models in their own environments - the cloud-prem architecture.
Today, buyers are more familiar & have security options : deploying AI on virtualprivatecloud architectures, tools to delete data from cloud AI vendors, dedicated security tools for AI, & a panoply of open source alternatives. How much better is AI than existing software? What revenue has AI increased?
Typically, the data resides in the customer’s cloud account. This cloud account has many names but no real moniker yet. Some call it a VPC for virtualprivatecloud. Others call it cloud prem, a contraction of cloud and on-prem(ises). But the drivers are real. That’s the twist.
Proofs of concept are extended demonstrations of the software. We’re hosting an event on the evening of Sep 10th in San Francisco to interview leaders in the space moderated by Dave Morse, former CRO at Hebbia & VPS/VPCS at ScaleAI to talk about some of these questions. But, they can be problematic in proofs-of concept.
Big Switch has rolled a variety of new software packages aimed at simplifying customer networks and helping them manage on-premises and hybrid-cloud data-center growth. VPCs provide the on-demand access to a pool of shared cloud-computing resources.
Bigger Picture: Other Needs When I broadened my thinking, I quickly realized we had already implemented two other one-off remote access solutions: To enable SQL GUI tool access to the database, we set up bastion servers on our staging and production VPCs. ” To drill down a bit: Keep our AWS VirtualPrivateClouds walled off and private.
During this time of remote workforce, budgets are tightening and a lot of our enterprise customers are using their pre committed cloud security contracts to buy enterprise software and software from ISVs. It’s not frictionless, but it’s trying to smooth out as many of the bumps as we can with regards to that.
Leaders are starting to reallocate AI investments to recurring software budget lines. In 2024, however, many leaders are reallocating that spend to more permanent software line items; fewer than a quarter reported that genAI spend will come from innovation budgets this year.
Establishing a unit metric that’s visible to all the stakeholders in your organization drives alignment across the many choices to be made in building the software that delivers on customer value (rather than secondary internal KPIs). There’s a simple reason: money comes from the customers.
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