DATA SCIENCE
Red Hat | November 23, 2021
Red Hat, Inc., the world's leading provider of open source solutions, today announced the availability of Red Hat OpenShift Data Science as a field trial, as well as an expanded partner ecosystem focused on this new cloud service offering. As leading artificial intelligence and machine-learning (AI/ML) partners support the service, Red Hat customers are provided with a range of solutions optimized for Red Hat OpenShift, letting them select the technologies to best meet their specific machine learning needs across the open hybrid cloud and edge computing environments.
Red Hat OpenShift Data Science is a cloud service offering tailored for machine learning (ML) on Red Hat OpenShift, the industry’s leading enterprise Kubernetes platform. Enabled by Kubernetes operators, Red Hat OpenShift Data Science gives enterprises greater flexibility in selecting the technologies to develop, test and deploy ML models, while removing the overhead associated with running and maintaining a production platform. As a fully-managed cloud service, Red Hat OpenShift Data Science moves operational responsibility and support to Red Hat. This gives organizations the freedom to use their chosen AI/ML tools in developing the next-generation of intelligent applications to drive valuable business insights.
Several key members of Red Hat’s AI/ML partner ecosystem are now pre-integrated into the user interface dashboard, providing access to the latest in hardware and software acceleration solutions as well as tools to support the model operationalization lifecycle. This includes Intel toolkits and, planned in the near future, NVIDIA-accelerated computing support, which will enable customers to benefit from:
Access to a fully-integrated model development environment, with the ability to optimize and tailor model behavior on Intel hardware, using Intel OpenVINO Pro for Enterprise; and accelerated speed to insights with the Intel oneAPI AI Analytics Toolkit, which provides data scientists with a series of tools and frameworks optimized for maximum performance on Intel-based CPUs. With these offerings from Intel, data scientists not only have integrated access to the tools and frameworks needed to build and deploy their model, but also help deliver high performance on Intel hardware.
Accelerated computing support through the use of NVIDIA GPU technology, which can enable data scientists to scale their computationally expensive neural networks to large, complex architectures without sacrificing productivity. This allows data scientists to cut down the time spent on training models with minimal code changes.
In addition to Intel and NVIDIA, Red Hat OpenShift Data Science includes support from several other leading AI/ML partners, including:
Anaconda Commercial Edition for more secure, consistent and repeatable data science package distribution and management;
IBM Watson Studio with AutoAI to build, run, and manage AI models at scale;
Seldon Deploy to simplify and accelerate deploying, managing and monitoring machine learning models, and
Starburst Galaxy to unlock the value of your data by making it faster and easier to access data across the hybrid cloud.
As enterprises invest in AI/ML to drive business decisions and gain actionable insights from data, we have seen a highly-competitive marketplace for MLOps solutions that strive to operationalize the ML lifecycle. Red Hat OpenShift Data Science offers enterprise customers a customizable alternative to prescriptive AI/ML solutions, through its open workflow platform including Jupyter notebooks and common frameworks including Pytorch and Tensorflow, and complemented by access to certified partner technology from Red Hat Marketplace.
Red Hat OpenShift Data Science is available via field trial today as an add-on to Red Hat OpenShift Dedicated and on Red Hat OpenShift Service on AWS. The field trial release of Red Hat OpenShift Data Science offers general availability-level quality and support, allowing customers to try out the service, while only paying for the underlying Red Hat OpenShift Dedicated or Red Hat OpenShift Service on AWS and AWS infrastructure.
Supporting Quotes
“Data science and machine learning are helping drive innovation and business value in nearly every industry. For many companies the biggest barrier to adoption is the complexity of wiring together the necessary data sources with diverse model training and model deployment technologies. With Red Hat OpenShift Data Science, Red Hat’s contributions to Open Data Hub, and our extensive partner ecosystem, we’re helping organizations overcome such complexity to begin harnessing the full potential of machine learning from the leader in trusted open source technology.”
Mike Piech, vice president and general manager, Cloud Data Services, Red Hat
“When developing Red Hat OpenShift Data Science, Red Hat recognized the importance of making it easier for organizations to use tools they know and trust. Anaconda is excited to offer Anaconda Commercial Edition as part of the platform so that customers can leverage the innovation of open source packages from a trustworthy, premium repository."
Stephen Nolan, head of product, Anaconda
Hemanth Manda, director, Cloud Pak for Data, IBM
“Leveraging AI to guide business decision-making is more relevant than ever, especially in the scale of enterprise readiness. Red Hat OpenShift Data Science enables data scientists and developers to work in an open and flexible environment and is complemented by Watson Studio from IBM Cloud Pak for Data - an industry-leading offering that accelerates the data science lifecycle at scale. With time and reliability being a valuable resource, IBM Watson Studio infuses AutoAI, which accelerates AI model development through automation, and Trusted AI - offering enterprises trust and transparency so that their models can be governed, accurate, and free of bias. We’re excited to complement IBM’s enterprise-readiness with the open-source capabilities of Red Hat to provide customers a convenient and trusted pathway to their adoption of AI.”
Wei Li, vice president and general manager of Artificial Intelligence and Analytics, Intel
“Red Hat OpenShift Data Science provides a solution to data scientists and developers who want flexibility and control of their resources and data, but no longer want to deal with the complexities of managing infrastructure. That is why Intel is very proud to partner with Red Hat to offer the Intel® oneAPI AI Analytics Toolkit and OpenVINO™ Toolkit as part of this platform.”
Scott McClellan, head of data science products, NVIDIA
“Data scientists and AI developers require well-integrated tools and powerful computing capabilities to do their best work. NVIDIA and Red Hat’s collaboration to bring accelerated data science to Red Hat OpenShift platforms can enable enterprises to rapidly develop, deploy and scale advanced AI across a broad variety of workloads and industries.”
Keith Bush, vice president, Alliances, Seldon
“When it comes to enterprise-wide adoption of AI and ML, organisations want the freedom and flexibility to leverage the best tools available - regardless of vendor. Red Hat's strategy in developing Red Hat OpenShift Data Science reflects this modern approach, and we're excited to offer Seldon Deploy as a complementary solution to this cloud service. By offering customers the ability to easily deploy, manage, and monitor their ML models, Seldon empowers data scientists and DevOps teams by eliminating the typical bottlenecks and delays associated with moving models into production. Our solution is specifically designed for rapid model deployment in an enterprise environment such as Red Hat OpenShift Data Science, with advanced tools and capabilities surrounding testing, explainability, and lifecycle management.”
Justin Borgman, CEO, co-founder and chairman, Starburst
“We’re excited to be one of the key partners featured in Red Hat OpenShift Data Science. Starburst provides a new way to conduct analytics via a single point of data access built to offer greater security, minimizing the requirement to move or copy data in order to analyze it. Together, our technologies provide data scientists with a fully managed, enterprise-grade platform to more seamlessly and quickly build, train, test, and deploy new machine learning models that can enable organizations to make faster and better decisions based on more complete and accurate data.”
Ritu Jyoti, group vice president, Artificial Intelligence and Automation Research, Software Market Research and Advisory, IDC
“As per the IDC’s AI StrategiesView 2021 study — a global survey of 2,000 organizations, with IT and line-of-business decision makers and influencers as respondents — AI adoption has grown 3X since 2019. Early adopters report 39% improvement in customer experience (CX) and 33% improvement in employee efficiency and accelerated innovation with roll-out of AI solutions in 2020, which is a double-digit surge in improvement of business outcomes compared to 2019. Open source helps companies become co-inventors of software, not just buyers of it. Open source AI has been one of the most important developments within the technology industry, and it is continuing to grow. The Red Hat OpenShift Data Science offering - combined with Red Hat's open source expertise - will offer customers the tools they need to be successful."
About Red Hat, Inc.
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. Red Hat helps customers integrate new and existing IT applications, develop cloud-native applications, standardize on our industry-leading operating system, and automate, secure, and manage complex environments. Award-winning support, training, and consulting services make Red Hat a trusted adviser to the Fortune 500. As a strategic partner to cloud providers, system integrators, application vendors, customers, and open source communities, Red Hat can help organizations prepare for the digital future.
Read More
BIG DATA MANAGEMENT
Dataiku | September 16, 2021
Dataiku, the platform for Everyday AI, today announced they were named a 2021 Gartner Peer Insights Customers' Choice for Data Science and Machine Learning Platforms. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.
We are thrilled to be named a 2021 Gartner Peer Insights Customers' Choice for Data Science and Machine Learning Platforms, which highlights our commitment to ensuring that each and every customer has the best possible experience building in our software and working with our teams. We believe any company can benefit from an AI strategy in which data is a part of day-to-day operations, regardless of size or industry, and are grateful for the feedback our customers share with us on Gartner Peer Insights; this feedback helps us ensure our platform and services provide real impact and value.
Kurt Muehmel, Chief Customer Officer at Dataiku
Within the 2021 Gartner Peer Insights 'Voice of the Customer': Data Science and Machine Learning Platforms, Dataiku's Customers' Choice distinction includes the highest Overall Rating (4.8/5.0 as of June 2021, based on 132 reviews), which measures how satisfied existing customers are, with 95% of reviewers willing to recommend Dataiku. Further, Dataiku is the only Customers' Choice vendor for the Global Enterprise ($10B+) company size segment, for the North America region segment, and for the Europe, Middle East, and Africa region segment.
Dataiku, founded in 2013, enables over 450 companies globally to leverage one end-to-end platform to design, deploy, and manage AI and analytics applications. Last month, the company raised $400 million at a $4.6 billion valuation in a Series E funding round, pioneering the next wave of AI. Dataiku is rooted in the belief that any company can win in their market through Everyday AI - AI that is so ingrained and intertwined with the workings of the day-to-day that it's just part of the business. Dataiku also facilitates using prebuilt components and automation wherever possible to streamline work processes as well as consistent management and governance across teams and projects to create transparent, repeatable, and scalable AI and analytics programs. Get a complimentary copy of the 2021 Gartner Peer Insights 'Voice of the Customer': Data Science and Machine Learning Platforms here.
About Peer Insights
Peer Insights is an online platform of ratings and reviews of IT software and services that are written and read by IT professionals and technology decision-makers. The goal is to help IT leaders make more insightful purchase decisions and help technology providers improve their products by receiving objective, unbiased feedback from their customers. Gartner Peer Insights includes more than 215,000 verified reviews in more than 340 markets.
Gartner Peer Insights 'Voice of the Customer': Data Science and Machine Learning Platforms, Peer Contributors, 20 August 2021. Gartner is registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner Peer Insights Customers' Choice constitute the subjective opinions of individual end-user reviews, ratings, and data applied against a documented methodology; they neither represent the views of, nor constitute an endorsement by, Gartner or its affiliates.
About Dataiku
Dataiku is the world's leading platform for Everyday AI, systemizing the use of data for exceptional business results. More than 450 customers across banking, insurance, pharmaceuticals, manufacturing, retail, and more use Dataiku to elevate their people to extraordinary, arming them with the ability to make better day-to-day decisions with data.
Read More
BIG DATA MANAGEMENT
Aveshka, Inc. | July 12, 2021
Centers for Disease Control and Prevention (CDC) recently awarded Aveshka, a trusted provider of data analytics capabilities and subject matter expertise in the public health realm, a subcontract with Data, Analytics, and Visualization Task Force (DAVTF). Aveshka is currently serving as a subcontractor to Booz Allen Hamilton Program.
Under the contract, Aveshka will continue its essential work in supporting the nation’s COVID-19 response. It currently supports agencies to include Departments of Justice, Defense, Health and Human Services, and Homeland Security; as well as federal financial agencies, state and local agencies, and numerous commercial clients on pandemic response. Aveshka's health scientists and scientific data analysts will support the DAVTF in its objective to identify, track, and monitor COVID-19 cases and its spread and containment.
Aveshka’s constant work in the Covid-19 pandemic has been solidified with this award. Aveshka has multidisciplinary teams of specialists utilizing a tailored method to every engagement. Many organizations have sought Aveshka’s expertise and discipline to support the return to office efforts operational continuity, workforce protection, and readiness for future waves and other disruptive events.
ABOUT AVESHKA, INC.
Aveshka is a thought leader that integrates strategy, technology, and innovation to deliver cutting edge, breakthrough solutions that strengthen the nation against security threats. Aveshka accelerates the advantage for its customers' missions, rendering them protected today and prepared for a safer and smarter tomorrow.
Read More