Teradata Vantage with Amazon SageMaker

Jun 9, 2022 | San Diego

Introduction of Teradata Vantage with Amazon SageMaker offers organizations ubiquitous use of superior analytics to unlock the total energy of their knowledge

Teradata (NYSE: TDC) as we speak introduced the combination and common availability of the Teradata Vantage multi-cloud knowledge and analytics platform with Amazon SageMaker, the trade’s most full end-to-end machine studying (ML) service. By uniting the scalability and openness of Vantage with the intuitive ML mannequin capabilities of Amazon SageMaker, Teradata and Amazon Net Companies (AWS) are fixing the scalability dilemma for enterprises worldwide. 

This transfer helps Teradata’s analytics framework, Analytics 123 which supplies organizations which might be challenged with production-level synthetic intelligence (AI)/ML initiatives a step-by-step resolution for deploying analytical fashions at scale. Collectively, the Analytics 123 framework and the combination of Vantage with Amazon SageMaker drive sooner time-to-value and higher return on funding (ROI).

Regardless of huge investments in AI/ML and different superior analytics, many organizations have but to deploy these options extensively and are struggling to see the true worth of their promise. It is because knowledge preparation for AI/ML is time consuming and dear, with knowledge wrangling nonetheless accounting for as much as 80% of the price and energy of analytic tasks. Within the Gartner® report “High Tendencies in Information and Analytics for 2021” they are saying, “Many organizations wrestle to scale their AI prototypes and pilots to full manufacturing and wider utilization, and sometimes underestimate the problem of deploying and integrating AI with different methods. In line with the 2020 Gartner AI in Organizations Survey, solely 53% of prototypes are finally deployed.” And definitely not at scale and throughout organizational silos.

Teradata Vantage delivers enterprise-scale efficiency to make sure that even the biggest prospects can execute complicated analytics on huge datasets whereas utilizing their favourite knowledge science instruments andlanguages – equivalent to Amazon SageMaker. Amazon SageMaker allows builders to create, practice, and deploy AI/ML fashions on the cloud, embedded methods,and  edge gadgets. Tens of hundreds of energetic prospects use Amazon SageMaker to coach fashions with billions of parameters to make a whole lot of billions of predictions each month.

Vantage and  Amazon SageMaker work seamlessly, giving prospects the flexibility to repeatedly rating complicated ML fashions at scale. AI/ML tasks can transfer into wide-scale manufacturing in weeks as an alternative of months and organizations can rating knowledge, like buyer or elements info, in minutes as an alternative of hours and days. The result’s that prospects can now quickly speed up their AI/ML tasks to ship data-driven insights and understand real-world enterprise outcomes. 

“Our enterprise prospects are investing in the potential for AI/ML to forestall fraud, scale back churn, optimize provide chains, and stop catastrophic infrastructure failures,” mentioned Hillary Ashton, Chief Product Officer at Teradata. “Many expertise suppliers declare to supply AI/ML options to satisfy these essential wants – however they can not implement them at scale. Teradata is, and at all times has been, an innovator in enterprise analytics and knowledge warehousing, fixing the hardest knowledge challenges in essentially the most complicated and demanding environments. Now we’re combining Vantage’s flexibility, scalability, and deep superior analytics capabilities with Amazon SageMaker’s versatility in creating ML fashions to provide enterprises the pace, simplicity, and scale they should derive real enterprise worth from their AI investments.”

“Amazon SageMaker is likely one of the quickest rising companies in AWS historical past and we’re persevering with to put money into increasing the service capabilities as prospects additional scale their machine studying fashions for coaching and inference on Amazon SageMaker,” mentioned Omer Zaki, Normal Supervisor, SageMaker Foundations, AI Platforms at AWS. 

“Being a data-driven group permits us to make knowledgeable selections to create a greater visitor and crew member expertise,” mentioned Pankaj Patra, Senior Vice President and Chief Info Officer at Brinker Worldwide. “As we regarded for extra versatile and cost-effective methods to handle and entry our knowledge, we evaluated fairly a couple of cloud-native suppliers. After cautious consideration, we determined the most effective plan of action could be emigrate to Teradata Vantage on AWS and make the most of its choices to help our superior analytic targets.”

To be taught extra about Teradata Vantage with Amazon SageMaker:

• Strive our Amazon SageMaker Palms-on Lab by creating an account on Teradata College and choosing the “Teradata Vantage and Amazon SageMaker” course
• Go to Teradata at sales space #111 on the Amazon re:MARS occasion June 21-24, 2022 in Las Vegas
• Request an illustration by emailing aws@teradata.com

Availability

Teradata Vantage with Amazon SageMaker is accessible as we speak, worldwide.

Gartner, High Tendencies in Information and Analytics for 2021, Rita Sallam, Donald Feinberg, Pieter den Hamer, Shubhangi Vashisth, Farhan Choudhary, Jim Hare, Lydia Clougherty Jones, Julian Solar, Yefim Natis, Carlie Idoine, Joseph Antelmi, Mark Beyer, Ehtisham Zaidi, Henry Cook dinner, Jacob Orup Lund, Erick Brethenoux, Svetlana Sicular, Sumit Agarwal, Melissa Davis, Alan D. Duncan, Afraz Jaffri, Ankush Jain, Soyeb Barot, Saul Judah, Anthony Mullen, James Richardson, Kurt Schlegel, Austin Kronz, Ted Friedman, W. Roy Schulte, Paul DeBeasi, RobertThanaraj, February 2021 

GARTNER is a registered trademark and repair mark of Gartner, Inc. and/or its associates within the U.S. and internationally and is used herein with permission. All rights reserved.

About Vantage

Teradata Vantage is the related multi-cloud knowledge platform for enterprise analytics. It allows ecosystem simplification by unifying analytics, knowledge lakes and knowledge warehouses. With Vantage, enterprise-scale firms can eradicate silos and cost-effectively question all their knowledge, on a regular basis, no matter the place the information resides — within the cloud, on a number of clouds, on-premises, or any mixture thereof — to get an entire view of their enterprise.