Basware chooses Foundry for AI by Rackspace to Simplify Coding of Proprietary Data Integration Processing Language
July 16 2024 - 3:00AM
Rackspace Technology® (NASDAQ: RXT) – the leading
end-to-end, hybrid multicloud, and AI solutions company, today
announced that Basware, a premier provider of accounts payable (AP)
automation solutions, has successfully leveraged AI to enhance its
Extract, Transform, Load (ETL) coding process. Basware partnered
with Rackspace Technology to experiment with training
code-generating language models using Amazon Bedrock and Amazon Web
Services (AWS). This enabled Basware to innovate faster for its
customers, accelerating time to value. This in turn can enable its
customers to focus on their everyday business operations rather
than the technology implementation.
Founded in 1985, Basware has 40 years’ experience in AP and is
renowned for its comprehensive suite of tools and expertise in
streamlining invoice processing for businesses globally. The
Finnish company’s network accounts payable automation solutions
processes over 220 million electronic invoices annually for brands
including DHL, Clarins, and Mercedes-Benz. Basware’s commitment to
efficiency and accuracy helps companies of all sizes optimise their
AP workflows, reduce manual tasks, and improve financial
visibility.
As Basware continues its rapid growth trajectory, optimising the
customer onboarding process became a priority. Basware partnered
with Rackspace Technology to explore AI's potential to optimise the
onboarding process. Foundry for AI by Rackspace (FAIR™) provided
the expertise required to accelerate the secure, responsible, and
sustainable adoption of generative AI.
“This project was primarily focused on research and
understanding the potential of generative AI," said Alistair
Gilbert, VP, Platform Engineering at Basware. "It will
significantly impact Basware's ability to scale and deliver value
to customers more rapidly. Finding more innovative and advanced
ways to support our partners enables us to achieve that
scale."
The Rackspace Technology team’s objective was to train an AI
language model to autonomously generate essential ETL integration
code, enabling Basware’s consultants to create code snippets by
simply asking questions in natural language. Basware’s proprietary
language, AnyERP, was fine-tuned into the AI model to understand
and generate it for the consultants.
To achieve this, Rackspace Technology experimented with various
training processes, including few-shot learning, fine-tuning, and
pre-training, using Amazon Bedrock. This approach provided
flexibility and access to different foundational models, enabling
extensive experimentation. As a result, the AI’s accuracy in
generating ETL code improved from 60% to 90%.
“By leveraging our AI expertise and the advanced capabilities of
AWS, we demonstrated how AI automation has the potential to provide
efficiencies to Basware’s consultants and its customers,” said
Boudewijn Van Dulken, General Manager for Northern Europe at
Rackspace Technology. “This collaboration not only highlights how
generative AI has the ability to solve complex, industry-specific
challenges but also underscores our commitment to helping
businesses innovate and scale rapidly."
Click here for the Basware case study and here for the
video to learn more about the full Rackspace Technology Basware
solution.
About Foundry for AI by Rackspace
(FAIR) FAIR is a groundbreaking global practice
dedicated to advancing business transformation, improving customer
experience, increasing the quality of service, and accelerating
value creation through the secure and responsible use of AI
technologies. FAIR has identified over 500 use cases across
multiple industries and is working on several industry-leading
implementations for our customers across the globe.
About Rackspace Technology
Rackspace Technology is a leading end-to-end
hybrid, multicloud, and AI technology services company. We design,
build, and operate our customers' cloud environments across all
major technology platforms, irrespective of technology stack or
deployment model. We partner with our customers at every stage of
their cloud journey, enabling them to modernize applications, build
new products, and adopt innovative technologies.
Media Contact: Natalie Silva, publicrelations@rackspace.com
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