PR95039

NEW YORK, Mar. 17, 2022 /PRNewswire=KYODO JBN/--

Customers like the Seattle Seahawks are deploying Dataiku on AWS, building

models, and creating insights in hours

Dataiku, the platform for Everyday AI(https://www.dataiku.com/), today unveiled

the Dataiku cloud stack accelerator on Amazon Web Services (AWS) — a new way of

rapidly deploying and managing Dataiku's data, analytics, and artificial

intelligence (AI) platform on AWS. The new accelerator enables customers to

quickly get Dataiku up and running on a secure AWS cloud computing environment

in hours using three easy

steps(https://blog.dataiku.com/cloud-accelerator-aws). Once deployed, everyone

across the company, from data science to line-of-business teams, can access the

easy-to-use, low- or no-code Dataiku environment in their web browser to

prepare datasets, build reports and dashboards, and create machine learning

(ML) and AI models.

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"Most people don't think of a professional football team when they think of AI

and analytics, but we use these insights on a daily basis to make crucial

business and team decisions," said Chip Suttles, Vice President Technology at

the Seattle Seahawks. "Having the ability to make near-real-time decisions is

imperative to our competitive advantage. Our data science team used the Dataiku

accelerator on AWS to quickly deploy in the cloud and were building AI models

and dashboards within hours."

The accelerator works with AWS so anyone can quickly and easily tap into the

power of AI for their business. The accelerator allows companies to:

-Seamlessly access data stored on AWS with access to Amazon Simple Storage

Service (Amazon S3) and managed SQL services.

-Connect, transform, and analyze datasets from Amazon Redshift with Dataiku

no-code visual data preparation or custom SQL code.

-Build and scale ML models using the latest Dataiku AutoML and code

notebook-based data science techniques using the computing power of Amazon

Elastic Kubernetes Service (Amazon EKS).

-Use AWS machine learning

services(https://blog.dataiku.com/cloud-accelerator-aws) to include computer

vision or text analytics in Dataiku projects.

-Operationalize and manage models with Dataiku MLOps, including pipeline and

model monitoring, data drift detection and alerting, A/B testing, and model

retraining.

-Use Dataiku Govern to reduce model risk with governance plans, approvals, and

sign-off for model deployment.

"From the enterprise boardroom to the playing field of an elite sports program,

Dataiku is driving Everyday AI to improve insight and performance in a wide

range of industries and use cases," said David Tharp, Senior Vice President,

Ecosystems and Alliances at Dataiku. "With Dataiku running on AWS, we are

making AI an everyday experience by equipping hundreds of workers with

intuitive tools for preparing, analyzing, and visualizing large datasets and

creating machine learning models — with no need for technical expertise."

"AWS offers a fully elastic infrastructure with many options optimized for

machine learning and AI," said Danielle Greshok, Director of World Wide ISV

Solution Architects at AWS. "With Dataiku's new accelerator for AWS, our

customers can get up and running in hours and take advantage of the full power

of AWS to start creating insights and machine learning models across their

business today."

Dataiku includes the cloud stack accelerator at no additional cost. To learn

more about how Dataiku can help with rapid cloud deployment and get you up and

running in a matter of hours, visit the Dataiku

website:(https://blog.dataiku.com/cloud-accelerator-aws) or read the technical

blog, Deploy and Manage AI in the Cloud With

AWS(https://blog.dataiku.com/cloud-accelerator-aws).

About Dataiku

Dataiku(https://blog.dataiku.com/cloud-accelerator-aws) is the platform for

Everyday AI that allows companies to leverage one central solution to design,

deploy, govern, and manage AI and analytics applications. Since its founding in

2013, the company has been the leader in democratizing data and empowering

organization-wide collaboration. Today, more than 450 companies worldwide use

Dataiku to integrate and streamline their use of data and AI, driving diverse

use cases from fraud detection and customer churn prevention to predictive

maintenance and supply chain optimization. Stay connected with us on our blog

(https://blog.dataiku.com/), Twitter (@dataiku)(https://blog.dataiku.com/), and

Linkedin:

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Source: Dataiku