Teradata Solves Biggest Challenges of Executing Analytics at Scale for Enterprise Customers
September 08 2021 - 9:00AM
Business Wire
New Bring Your Own Model (BYOM) functionality
integrates open-source technologies, complementing an analytics
framework that helps businesses operationalize artificial
intelligence (AI) and machine learning (ML) projects at scale
Teradata (NYSE: TDC), the connected multi-cloud data platform
for enterprise analytics company, today announced that Vantage is
now able to operationalize externally created predictive models,
also known as model sharing or BYOM. This move further supports
Teradata’s strategic analytics framework that gives data-driven
enterprises a step-by-step solution for deploying analytical models
at scale. Businesses will now be able to quickly realize a greater
return on investment (ROI) in developing analytical models through
increased model operationalization, expanded analytic use cases,
and a streamlined approach to data-driven decision-making.
Business leaders recognize that artificial intelligence and
machine learning are the basis of competitive advantage in their
industry, leading to an explosion in AI/ML technology investments.
Despite these investments, many businesses are struggling to see
returns from AI/ML projects due to inefficient data processes. To
address this challenge, Teradata has created a strategic analytics
framework – Analytics 1-2-3 – to establish a straightforward
roadmap for businesses to create robust, efficient, and easily
deployed processes that ensure AI/ML projects live up to their
promise and deliver business value.
BYOM further supports this framework as it enables a
significantly wider group of models and analytic algorithms to be
available for deployment at scale. This means that models typically
created on small systems with limited data sets can now be
operationalized and scaled to the level required to score the
various models rapidly, securely and consistently, all within
Vantage.
By leveraging this new functionality, Analytics 1-2-3 provides
Teradata customers with an easy way to create and operationalize
any number of models on any data volume in near real time.
- BYOM ensures customers can retain their investments in model
development technologies without any risk or functionality loss
when deployed in Vantage. This is realized by importing externally
created predictive models by open-source packages or third-party
solutions into Vantage, and then allowing the scoring of these
models in parallel, using all the data that Vantage can
ingest.
- As part of BYOM, Teradata data scientists can use any of their
preferred open-source tools, such as R, Python, Apache Spark, SAS,
KNIME, and more, to be executed in parallel alongside native
Vantage analytic functions, enabling the operationalization of
insights without needing to sample data or create data silos
outside of Vantage.
- Teradata has a robust partnership community with leading
advanced analytics and AI/ML vendors. The Analytics 1-2-3 framework
naturally incorporates existing and new partners in Teradata’s
analytics and AI/ML portfolio, providing customers, and the data
science community, with the industry’s most optimal analytics
ecosystem. Teradata provides customers support for their analytic
tools of choice – now, in an industry-best, optimized
configuration. The result is an analytics ecosystem that provides
business users with answers and insights in minutes rather than
hours or days, enables more robust models for deeper insights, and
delivers faster model refresh, updates, and replacements.
“As our enterprise customers continue to explore the
possibilities of AI to increase customer engagement, revenue, and
reduce risk and cost, they need solutions that are built for the
complexity of today’s modern data analytic ecosystem,” said Hillary
Ashton, Chief Product Officer at Teradata. “Teradata Vantage was
built with the flexibility and scalability to handle the most
complex enterprise workloads, regardless of where the data sits.
Now, with its new BYOM functionality, Vantage can address the most
stubborn challenges facing organizations that wish to quickly
realize value from their AI/ML investments.”
Analytics 1-2-3: A Strategic Framework
Leveraging New BYOM Capabilities
Analytics 1-2-3 provides an easy way to create and
operationalize any number of models on any data volume in near real
time. It decouples the different elements of the analytics process
and ensures appropriate weight is given to each. This framework,
when combined with Vantage’s BYOM functionality, gives enterprises
the ability to test, scale and deploy analytical models quickly and
efficiently.
- Analytics 1 – Data Preparation: This is when any type of
data and at whatever volume is prepared. The core features are then
extracted which are in turn used for analytic modeling. These
features, once created, are curated within an Enterprise Feature
Store (EFS) so that they can be repeatably used.
- Analytics 2 – Model Training: This is when analytical
models (e.g., machine learning, statistical) are created from the
features delivered in the first step. Model functionality that is
natively available in Vantage, as well as the BYOM functionality,
ensures that a wide range of models, often used in combination, are
made available for operationalization.
- Analytics 3 – Deployment: With Vantage’s
AnalyticsOps service, users can manage end-to-end analytic model
creation at scale. Vantage will monitor model performance and
automatically trigger rescoring or model updates, all while
maintaining model, features, code, and data lineage.
Teradata Vantage is the connected multi-cloud data platform for
enterprise analytics. It enables ecosystem simplification by
unifying analytics, data lakes and data warehouses. With Vantage,
enterprise-scale companies can eliminate silos and cost-effectively
query all their data, all the time, regardless of where the data
resides — in the cloud, on multiple clouds, on-premises or any
combination thereof — to get a complete view of their business.
Availability
BYOM is available now, globally, to all Vantage customers.
Teradata
Teradata is the connected multi-cloud data platform for
enterprise analytics company. Our enterprise analytics solve
business challenges from start to scale. Only Teradata gives you
the flexibility to handle the massive and mixed data workloads of
the future, today. Learn more at Teradata.com.
The Teradata logo is a trademark, and Teradata
is a registered trademark of Teradata Corporation and/or its
affiliates in the U.S. and worldwide.
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January Machold 858-485-3049 office
January.Machold@Teradata.com
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