Best Practices Government Hardware Strategy 
Dynatrace
MAY 2, 2024
But only 21% said their organizations have established policies governing employees’ use of generative AI technologies. Therefore, these organizations need an in-depth strategy for handling data that AI models ingest, so teams can build AI platforms with security in mind. Check out the resources below for more information.
Dynatrace
DECEMBER 15, 2022
Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. Cloud operations governs cloud computing platforms and their services, applications, and data to implement automation to sustain zero downtime. Why is IT operations important?
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Percona
DECEMBER 27, 2023
According to a 2023 Forrester survey commissioned by Hashicorp , 61% of respondents had implemented, were expanding, or were upgrading their multi-cloud strategy. Nearly every vendor at Kubecon and every person we spoke to had some form of a multi-cloud requirement or strategy. We expect that number to rise higher in 2024.
The Morning Paper
FEBRUARY 18, 2020
Enterprises in every industry are developing strategies for digitally transforming their businesses at every level. Taking a step back, EGML systems need support in three main areas: model development/training, model scoring (inference) and model management/governance. And there’s going to be a lot of them! Three big bets.
O'Reilly
OCTOBER 11, 2022
An AI project that doesn’t address data integration and governance (including compliance) is bound to fail, regardless of how good your AI technology might be. Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI.
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