NEW YORK, June 22, 2021 /PRNewswire/ — Dataiku, a leading AI and machine learning platform, announced today that it is available in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy and deploy software that runs on Amazon Web Services, Inc. (AWS). This availability opens the door for AWS customers to take advantage of Dataiku’s easy-to-use visual interface to build data pipelines, prepare data and build and deploy machine learning models on their cloud.

Anyone with an AWS account can now purchase Dataiku—a leader in enterprise AI and support for elastic cloud computing—through their AWS account in just a few clicks, removing the barrier of new contracts or legal hassles when starting their journey to enterprise AI at scale.

“We believe that every company, no matter how large or small, can benefit from AI/ML products like ours – launching in AWS Marketplace only makes that easier,” said Florian Douetteau, CEO of Dataiku. “Now, more organizations will be able to leverage AI to automate key business processes, allowing customers to make smarter, faster decisions and deliver better customer experiences.”

Customers who use Dataiku through AWS have seamless access to data stored on AWS with read and write access to Amazon Simple Storage Service (Amazon S3) and managed SQL services. This access can enable users to easily scale data pipelines and machine learning processes by leveraging compute clusters like Amazon EMR and Amazon Elastic Kubernetes Service (Amazon EKS), through either visual components or a coding language of choice; connect, visualize, transform and analyze datasets using Amazon Redshift with visual recipes or custom SQL code; and build, deploy and manage Amazon SageMaker models and endpoints collaboratively from Dataiku. Customers can also easily leverage the AWS Machine Learning Services to include computer vision or text analytics seamlessly into their Dataiku projects.

Dataiku’s push-down architecture and elastic integrations take advantage of native cloud computing resources to both push down work to cloud computing resources like Spark and Kubernetes and also automatically spin up and spin down compute resources for the data preparation, model building and model scoring jobs orchestrated on Dataiku, so customers only pay for what they need.

AWS Marketplace is a curated digital catalog where customers can find, buy, deploy and manage third-party software, data and services. It includes thousands of software listings and simplifies software licensing and procurement with flexible pricing options and numerous deployment methods.

Dataiku

Dataiku is one of the world’s leading AI and machine learning platforms, supporting agility in organizations’ data efforts via collaborative, elastic, and responsible AI, all at enterprise scale. Hundreds of companies use Dataiku to underpin their essential business operations and be sure they stay relevant in a changing world, including models driving fraud detection, customer churn prevention, predictive maintenance, supply chain optimization, and much more. Dataiku is built for companies looking to democratize AI across their organization, bringing agility and preparedness to the business through the use of data by everyone from analysts to data scientists.

Ingram Micro has added backup-as-a-service provider Veeam Software to its cloud marketplace in Australia and New Zealand.

The distie has had Veeam on its books for 12 years and is now making Veeam’s two biggest products, Backup for Office 365 and Backup Essentials Universal License, available through its online platform.

This will mean partners have simplified access to the products with procurement, provisioning, billing, maintenance, and support through a single panel.

“We are excited to take Veeam, our trusted partner of over a decade, on the journey to the cloud marketplace with us. Just as Veeam’s solutions have continued to innovate over the years, Ingram Micro aims to reach new channel partners through an equally innovative distribution platform,” Ingram Micro Australia cloud services director Trent Gomersall said.

“Adding Veeam to the Ingram Micro solution set delivers an immediate and powerful advantage to our resellers, providing access to one of the leaders in Backup solutions that deliver Modern Data Protection.”

The products will also be available to Ingram partners in Singapore, Hong Kong and Malaysia later this year.

“We are thrilled to bring two of our core backup solutions to Ingram Micro’s cloud marketplace, and look forward to expanding our reach to more partners than ever before with the help of Ingram Micro’s extensive and knowledgeable reseller team,” Veeam APJ channels, cloud and service provider senior director Belinda Jurisic said.

“Veeam Backup for Microsoft Office 365 enables local businesses to eliminate the risk of losing access and control over their Office 365 data so that their information is always protected and accessible.

“To complement this, businesses can also purchase Veeam Universal License (VUL), a simple, flexible ‘per workload’ license for protecting all workloads across on-premises, hybrid and multi-cloud environments.”

AutoDeploy is pleased to announce that it has published three new listings to the AWS Marketplace for Oracle JD Edwards EnterpriseOne. Based on a continuous innovation model, AutoDeploy is committed to delivering Oracle JD Edwards EnterpriseOne customers with the newest functionality delivered from Oracle on Amazon Web Services.

Enterprise software customers have been working for years at a cadence of three year upgrades that are costly to their business operations, internal staff, and ability to adopt new software functionality for key business software. The historic trends in software upgrades, migrations, and adoption of improved software have been limited by on premises models that require large upfront capital expenditures and time commitments from internal IT resources, business users, and key stakeholders. With cloud computing, these rate limiters to change have removed the barrier of entry for businesses to become faster and more agile with their software delivery model.

AutoDeploy has embraced cloud computing as a new model for enterprise software customers to go faster, cheaper, and deliver higher value outcomes for customers. By using the AMIs published on the AWS Marketplace, AutoDeploy is demonstrating to consumers of enterprise software that it is possible to take tasks that typically requires weeks or months, and scale those requirements down to minutes.

“Within 10 to 15 minutes, any user can be up and running on a full stack installation of EnterpriseOne on AWS,” said Mark Dalton, CEO of AutoDeploy. “The new cloud speed model of computing enables our customers to test new functionality of the EnterpriseOne software, migrate their workloads at a rapid pace, and reduce the internal complexity of scaling resources across the enterprise. The new operating modes of cloud computing help our customers do more to drive exciting value added outcomes to their business operations. Traditionally we’ve seen migrations take anywhere from 6 to 12 months. With the AutoDeploy model, customers can move their entire Oracle JD Edwards EnterpriseOne footprint from on prem to the cloud in a matter of weeks. Once our customers move to AWS, they are then able to realize new benefits from the myriad number of services that Amazon Web Services delivers to its’ builder community. Wether it be lower operating cost of infrastructure, machine learning, analytics, and integrations, our customers realize tremendous value utilizing the AWS framework. We are excited to release three new AMIs for customers on multiple tools releases to immediately kick start their cloud journey.”

As AutoDeploy continues to move customer workloads from on premises to Amazon’s cloud, there is a pent up demand for businesses to think about new value delivery models. Amazon’s superior cloud offerings give Oracle customers a unique opportunity to take advantage of new technology to assist the enterprise customer to create the outcomes that help drive new and exciting outcomes. Oracle JD Edwards EnterpriseOne customers are in a unique position to move on premises workloads in a compressed timeline with superior offerings based on Amazon Web Services cloud platform.

The report includes basic information along with advanced market statistics of the global Hypervisor Market. Accurate information about the market dynamics along with future growth prospects are analyzed in the report. Recent developments undertaken by major market players along with their strategic moves driving the market are also covered in the report. Data experts analyze the market information and come up with detailed insights revealing operating margins, competitive landscape, key industry trends and the factors impacting the global Hypervisor market. The growth rate from 2021-2027 and the risks faced by current manufacturers form a crucial part of the report. Regionally, the report provides elaborate regional market specifics related to the global Hypervisor market along with risks which are limiting development.

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Amazon Web Services is making it easier for customers and partners to build GPU-accelerated AI applications, thanks to the addition of Nvidia’s NGC catalog of software to the AWS Marketplace.

AWS Marketplace is adding 21 software resources from Nvidia’s NGC hub, which consists of machine learning frameworks and software development kits for a variety of use cases that are optimized to run on Nvidia GPUs, the Santa Clara, Calif.-based company announced Friday.

This makes AWS the first cloud service provider to support NGC, previously known as Nvidia GPU Cloud, which will give customers and partners the ability to more easily spin up GPU-accelerated AI applications on AWS instances running Nvidia GPUs, like the A100-based EC2 P4d instance.

Adel El Hallak, director of Nvidia NGC, said in a blog post that developers and data scientists will be able to install Nvidia AI software with a single click on the AWS Marketplace. They can then quickly run it on Nvidia GPU instances from within the AWS console in conjunction with a variety of AWS services, from EC2 and SageMaker to Elastic Kubernetes Service and Elastic Container Service.

The NGC software coming to AWS Marketplace includes Nvidia AI, a suite of frameworks and tools, including MXNet, TensorFlow and Nvidia Triton Inference Server; Nvidia Clara Imaging, a deep learning training and inference framework for medical imaging; Nvidia DeepStream SDK, a video analytics framework for edge computing; and Nvidia NeMo, an open-source Python toolkit for conversational AI.

“We first began providing GPU-optimized software through the Nvidia NGC catalog in 2017. Since then, industry demand for these resources has skyrocketed,” El Hallak wrote. “More than 250,000 unique users have now downloaded more than 1 million of the AI containers, pre-trained models, application frameworks, Helm charts and other machine learning resources available on the catalog.”

Matthew DuBell, a consulting solutions architect for the Business and Analytics Advisors group at St. Louis, Mo.-based World Wide Technology, an Nvidia and AWS partner, said Nvidia expanding NGC to the cloud is important for enterprises that have been developing AI applications on their private cloud and are looking to scale up production.

“In the enterprise space, a lot of organizations are now just really wanting to get to scale in production, so having these apps as a starting point enables you to start learning how to use them and then determining what you need to build off of this versus doing it from the ground up,” he said. “To me, this gives you a good head start in that realm, and then allows you to start designing the business-rich features that you need in addition to these apps.”

Microsoft Azure customers worldwide now gain access to Nuventive’s higher education planning and improvement software to take advantage of the scalability, reliability and agility of Azure to drive application development and shape business strategies.

Planning and improvement software company Nuventive today announced the availability of the Nuventive Improvement Platform in the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure. Nuventive customers can now take advantage of the productive and trusted Azure cloud platform, with streamlined deployment and management.

To help higher education institutions turn their plans into progress, the Nuventive solution connects strategic initiatives to analytics and reporting systems, so faculty and staff can map their progress and see what makes an impact. With Nuventive, relevant operational data sits next to a plan – in the same screen – so users can drill down to understand their progress with live or snapshot-in-time information. Because people will use the best information to make decisions, initiatives can result in progress.

To improve and transform any aspect of their institutions, Nuventive allows higher education leaders to:
• Base decisions on the best information – Faculty and staff have a continuous feedback loop and a platform for delivering results.
• Unite plans and relevant information in a single screen – Institutions can track progress by leveraging their technology investments to display live business intelligence (BI) tools and static reports, all without leaving the Nuventive Improvement Platform.

The Nuventive Improvement Platform is designed to support any type of improvement initiative, including overall strategy, accreditation, diversity, graduation rates, retention, learning outcomes, general education, housing, sustainability, administrative outcomes, and program review.

According to Nuventive Sr. VP and Chief Product Officer Gary Choban, “The Azure Marketplace offers a unique opportunity for higher education institutions to leverage their existing Microsoft relationships to quickly access our Nuventive Improvement Platform. Time is of the essence as institutions reevaluate their objectives and their plans for achieving them.”

“Through Microsoft Azure Marketplace, customers around the world can easily find, buy, and deploy partner solutions they can trust, all certified and optimized to run on Azure,” said Sajan Parihar, Senior Director, Microsoft Azure Platform at Microsoft Corp. “We’re happy to welcome the Nuventive Improvement Platform solution to the growing Azure Marketplace ecosystem.”

The Azure Marketplace is an online market for buying and selling cloud solutions certified to run on Azure. The Azure Marketplace helps connect companies seeking innovative, cloud-based solutions with partners who have developed solutions that are ready to use.

RESTON, Va., Oct. 7, 2020 /PRNewswire/ — Tellius, the decision intelligence company, today announced that the Tellius platform is available in AWS Marketplace. Amazon Web Services (AWS) customers can now easily try, purchase, and deploy Tellius within their AWS account. Tellius offers the only decision intelligence platform for business and analytics teams to make smarter decisions from their enterprise data using AI-driven Guided Insights.

Tellius’ listing in AWS Marketplace gives organizations a faster way to understand ‘what’ is driving business performance and uncover the reasons ‘why’ metrics change with machine learning automation and enhanced data scalability. Unlike traditional analytics and visualization tools that require analysts to spend hours manually slicing-and-dicing their data to uncover important findings, or data science modeling tools that require advanced expertise to interpret results, the Tellius Guided Insights engine allows business users and data-savvy team members to get instant answers from enterprise data by applying machine learning algorithms and statistical analysis through a simple interface that supports natural language.

“Tellius’ purpose is to accelerate data-driven decision making and make it accessible to every organization,” says Ajay Khanna, Founder and CEO, Tellius. “Offering Tellius in AWS Marketplace simplifies the procurement and deployment process so customers can focus on generating the insights from all their data to give them strategic advantage.”

The Tellius decision intelligence platform provides a modern and intelligent way for business users, data analysts, and data professionals to ask ad hoc questions, perform data analysis, and get up to 10x faster insights from their data from a unique set of capabilities:

Auto-Insights – instantly learn ‘what’ is driving business performance and the reasons ‘why’ metrics are changing by automatically analyzing billions of data points across multiple sources to generate segment, anomaly, comparison, and trend insights
Guided Search – ask questions of their data using a Google-like natural language interface to explore and visualize data without writing code
Data Scalability – built from the ground up to meet the demands of modern data workloads, the distributed in-memory architecture supports data transformation and machine learning automation at scale

About Tellius

Tellius is leading the era of decision intelligence with a Guided Insights platform powered by machine learning so anyone can ask questions in natural language and discover hidden insights from data at scale. Created by a team with deep expertise in big data analytics and automated intelligence, Tellius accelerates data-driven insight and decision making for companies in many industries such as pharmaceuticals, consumer goods, and financial services. Connect with us at LinkedIn, Twitter