How difficult is it to deploy artificial intelligence at your organization? Are you left scratching your head or just throwing up your arms in defeat? The struggle is real. The statistics prove it. According to a report by PWC, just 4% of businesses have successfully implemented AI, which is unsurprising given data scientists spend up to 80% of their time on unproductive tasks as a consequence of legacy systems. Peak’s new service, AI Platfor-as-a Service (PaaS) aims to solve this, boosting success rates by making data teams four times more productive. It also will help enterprise users build, train, and deploy machine learning solutions across their organizations to scale.
Speaking at AWS re:Invent, Richard Potter, CEO of Peak, explained: “Research shows that AI projects often fail due to the complexity of deployment within the enterprise. Every enterprise must become AI-driven, yet no system is dedicated to this in the enterprise today. What’s more we know 80% of a data team’s time is spent cleaning or collecting data, data manipulation, building training sets or with feature extraction. Peak’s AI system changes that, and with it data teams are able to focus on what they do best.”
“We’ve launched our Platform as a Service to enable teams to focus on machine learning and invest in the creation of their own machine learning solutions. Companies can then extract more value from data and experience the real benefits of AI.”
Peak’s AI PaaS combines the three critical components necessary for enterprise AI deployments:
- Infrastructure: data handling, storage, compute, scaling, extensibility, security and robustness.
- Workflow: the workflow of taking raw data, interpreting it, joining, transforming, feature extraction, model training, orchestration and deployment.
- Solutions: easy-to-build machine learning business solutions.
Peak is offering interested parties the opportunity to demo the PaaS. For more information and to register your interest, visit https://offer.peak.ai/register-your-interest-paas