Teradata has built-in Teradata VantageCloud, an cloud analytics and information platform, with Microsoft Azure Machine Learning (Azure ML).
VantageCloud’s scalability, openness and analytics – ClearScape Analytics – mixed with Azure ML’s capability to simplify and speed up the ML lifecycle may assist prospects unlock the complete worth of their information, even in probably the most complicated and demanding environments.
Despite continued funding by organisations in AI/ML, many AI/ML initiatives wrestle to get off the bottom.
Teradata VantageCloud is claimed to ship the enterprise-scale efficiency that ensures prospects can execute complicated analytics and AI/ML on huge datasets with the power to include the favorite information science instruments of their selection, together with Azure ML. This unparalleled efficiency, when mixed with the platform’s capability to combine most popular instruments and languages, offers prospects the liberty to unleash the complete potential of their AI/ML investments by constructing, deploying and managing extra high-quality fashions in manufacturing, quicker and with confidence.
Hillary Ashton, chief product officer at Teradata, mentioned: “As AI/ML rapidly expands in use, more organisations across industries – from healthcare to financial services to retail – are ramping up investment in AI/ML at scale to harness to the full power of their data.
“But with only half of AI/ML projects making into production, it’s become clear that organizations are not able to fully scale their advanced analytics initiatives and maximize their investments. To address this challenge, Teradata is combining Vantage Cloud’s scalability, openness and unparalleled in-database analytics with Azure ML’s acceleration and management of the day-to-day workflows of the ML project lifecycle. This gives ML professionals, data scientists, and engineers the ability to quickly and nimbly train and deploy models, and manage MLOps, leveraging the massive amount of data that Vantage ingests.”
Teradata VantageCloud and Azure Machine Learning work seamlessly, giving prospects utilizing VantageCloud on Azure the power to faucet into the facility of their information. With this integration, joint prospects throughout industries can notice the advantages from the next use circumstances, and rather more:
- Retail – Streamline provide chains by integrating information from myriad sources to raised forecast demand, enhance visibility, enhance real-time flexibility, and drive automation.
- Fin Serv – Enhance threat administration by totally automating decisioning and integrating threat information into stability sheet optimisation.
- Healthcare – Improve affected person care by utilizing machine studying to proactively predict when medical units might have upkeep.
Tony Surma, CTO, US international accomplice options at Microsoft, mentioned: “Microsoft Azure Machine Learning empowers data scientists and developers to build, deploy, and manage high-quality models and accelerates time to value with support for the entire ML lifecycle. The platform is trusted by users and designed for responsible AI applications in machine learning – with built-in fairness and responsible usage for compliance.
“This reliability and trust, coupled with Teradata’s reputation for performance and stability, give our customers the confidence and support to ramp up their AI/ML initiatives to drive measurable business impact.”
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