Rob Davies, executive vice president of operations at ViON, has said that purpose-built infrastructure will help agencies accommodate larger datasets and reduce downtime throughout the training and integration stages of AI and machine learning development.
Davies, a former Wash100 Award recipient, wrote in a GCN piece published Wednesday that such information technology environments should be hosted on-premises and have a high GPU capacity to help agencies quickly leverage data for AI training and deployment.
“When developing AI/ML, agencies must ensure that the IT infrastructure is purpose-built, AI ready and can scale on demand,” he said. “When those concerns are addressed, it frees the AI development teams from constricted, disorganized or unsecure systems and allows them to do what they do best.”
According to Davies, agencies should team up with an AI data management providers with the capacity for automated incident alerts, productivity monitoring, metadata extraction, virtual customer service, predictive analysis, DevOps procedures, data security and intellectual property protection.
“This not only offers requisite security for live, sensitive data, but it reduces the burden of managing infrastructure, offering workload scaleup that can be achieved in a matter of hours, not weeks,” he noted.