Connect with us

Technology

Siemens partners with Databricks and FFT to turn production data into scalable AI-driven insights

Published

on

Siemens Industrial Edge and FFT DataBridge connect shopfloor and plant data directly to the Databricks Platform – no IoT middleware requiredNew edge to cloud connectivity offers scalable advanced analytics and a unified, AI‑ready production data foundation Industrial customers can optimize their operations, reduce costs and increase productivity

ERLANGEN, Germany, June 16, 2026 /PRNewswire/ — Siemens announced a new edge-to-cloud integration with Databricks, the Data and AI company, and long‑time automation partner FFT Produktionssysteme GmbH (FFT). Together, the partners will connect production data directly to enterprise AI – without complex IoT middleware. This will help industrial customers transform their production data into actionable insights and scale industrial AI across global operations.  

With the new integration, customers are able to stream contextualized shopfloor and plant data from Siemens Industrial Edge via the FFT DataBridge directly to the Databricks Platform, where it can be analyzed and used to train AI models centrally for implementation across global production networks. These models can then be deployed back to the edge for execution at the point of production. This approach helps industrial companies optimize their operations, reduce costs and increase productivity with low‑latency, data‑driven decision‑making. It lays the foundation for physical AI and future autonomous operations.

“Industrial AI only delivers value when data, context and execution come together,” said Rainer Brehm, COO Automation and CTO at Siemens Digital Industries. “With Databricks and FFT, we enable our customers to scale industrial AI across factories and plants and make AI-powered production real.”

Operationalizing Industrial AI with seamless IT/OT integration

With Siemens Industrial Edge and Industrial Information Hub (integration layer for industrial data), customers benefit from a secure, scalable and low-maintenance edge platform designed to unlock siloed industrial data and execute intelligent applications close to the production process. This includes advanced local analytics, physical AI and closed loop AI workflows that require low latency, high availability and strict security compliance.

Databricks complements this with advanced analytics, machine learning and agentic AI for industrial data in a cloud agnostic, governed environment with minimal infrastructure overhead. This supports a wide range of advanced use cases, including predictive maintenance, quality optimization, energy management, supply chain optimization and agentic AI applications.

“By uniting Siemens’ industrial automation and edge expertise with the Databricks Platform, we help industrial companies close the gap between industrial data and scalable business impact across their industrial network,” said Shiv Trisal, Global Industrials GTM Leader at Databricks. “This partnership is a foundational step in making human-agent collaboration a reality for industrial operations.”

Siemens Industrial Edge enables customers to deploy and manage edge devices and apps on the production site. The app ecosystem allows seamless connectivity to industrial assets, IT systems and the cloud.

FFT DataBridge: Industrial‑grade data pipelines for adaptive production

FFT Produktionssysteme GmbH plays a key role in operationalizing the joint Siemens–Databricks architecture. As a long-standing Siemens partner with deep shopfloor expertise, FFT provides the DataBridge application that securely and efficiently connects Siemens Industrial Edge with the Databricks platform. FFT DataBridge streams contextualized, AI-ready production data from the edge to the cloud, where it can be combined with additional IT and OT data sources.

“Together with our partners Databricks and Siemens, FFT DataBridge provides a simple, powerful gateway to the cloud for more than 30,000 potential customers,” said Volker Stark, COO at FFT Produktionssysteme. It is ready to use and does not require expensive and time-intensive transformation of data. By natively bridging the gap between IT and OT, we eliminate the need for complex IoT layers and significantly simplify industrial connectivity for customers of Databricks.”

With the combined offering from Siemens, Databricks, and FFT, industrial producers can unlock AI‑ready production data, scale Industrial AI, and optimize operations across global production sites

This press release and press pictures are available at https://sie.ag/3qTP9k

For more information on Siemens Industrial Edge Computing Architecture please see https://www.siemens.com/en-us/products/industrial-edge/edge-computing-architecture/

For more information on Databricks please see https://www.databricks.com/

For more information on FFT DataBridge please see https://www.fft.de/en/fft-data-bridge

Follow us at: blog.siemens.com and linkedin.com/siemens-industry

Siemens Digital Industries (DI) is an innovation leader in automation and digitalization. Closely collaborating with partners and customers, DI drives the digital transformation in the process and discrete industries. With its Digital Enterprise portfolio, DI provides companies of all sizes with an end-to-end set of products, solutions and services to integrate and digitalize the entire value chain. Optimized for the specific needs of each industry, DI’s unique portfolio supports customers to achieve greater productivity and flexibility. DI is constantly adding innovations to its portfolio to integrate cutting-edge future technologies. Siemens Digital Industries has its global headquarters in Nuremberg, Germany, and has around 72,000 employees internationally.

Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

In fiscal 2025, which ended on September 30, 2025, the Siemens Group generated revenue of €78.9 billion and net income of €10.4 billion. As of September 30, 2025, the company employed around 318,000 people worldwide on the basis of continuing operations. Further information is available on the Internet at www.siemens.com.

View original content to download multimedia:https://www.prnewswire.com/news-releases/siemens-partners-with-databricks-and-fft-to-turn-production-data-into-scalable-ai-driven-insights-302801653.html

SOURCE Siemens AG

Continue Reading

Technology

CNCF Welcomes Adyen as Platinum End User Member to Advance Open Source Financial Infrastructure

Published

on

By

Operating over 100 Kubernetes clusters across €1.39T in volume, Adyen brings production-scale fintech expertise to CNCF governance and open source projects

Key Highlights

Adyen joins the CNCF as a Platinum End User Member, gaining seats on the CNCF Governing Board and End User Technical Advisory Board.Operating over 100 Kubernetes clusters with Cilium, Prometheus, and OpenTelemetry, Adyen brings production-scale operational expertise to the open source community.Adyen open sourced kubectl-rexec, a Kubernetes tool that supports auditable kubectl exec access for regulated cloud native environments.

SALT LAKE CITY, Nov. 11, 2026 /PRNewswire/ — KUBECON + CLOUDNATIVECON NORTH AMERICA – The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, today announced that Adyen, the global financial technology platform, has joined the foundation as a Platinum End User. The move comes as 87% of financial organizations report clear business value from open source, according to the FINOS 2025 State of Open Source in Financial Services Report, reinforcing Adyen’s commitment to advancing the open source technologies that help power secure, scalable financial infrastructure.

Processing billions of transactions each year and €1.39 trillion in volume in 2025, Adyen is investing at the Platinum level to help advance the secure, reliable cloud native infrastructure that financial services require. Its participation brings the operating perspective of a global fintech platform to the open, vendor-neutral community shaping the technologies on which modern finance depends.

“End users are the operational backbone of the cloud native ecosystem, and Adyen represents the pinnacle of high-scale, zero-downtime engineering,” said Jonathan Bryce, executive director, CNCF. “Operating over 100 Kubernetes clusters at a global scale gives Adyen unique technical insights. We are thrilled to welcome them as a Platinum End User and look forward to their leadership on our Governing and Technical Advisory Boards.”

Adyen’s membership provides the cloud native community with a direct feedback loop from an environment where platform availability, performance, and security carry immediate financial weight.

Beyond leveraging Kubernetes, Cilium, Prometheus, and OpenTelemetry across its global infrastructure, Adyen actively contributes solutions designed for regulated engineering teams. This includes open sourcing kubectl-rexec, a tool that adds strict auditability to Kubernetes container-access workflows while preserving native developer velocity.

“Investing in the CNCF helps us to maintain full control of our technology,” said Pedro Oliveira, VP of Infrastructure. “When you operate at our scale, vendor lock-in isn’t an option, and having a seat at the table matters. Bringing our real-world experience to the community lets us help shape the tools we rely on every day, making them more reliable for us and for the broader ecosystem.”

As a Platinum End User Member, Adyen will hold a seat on the CNCF Governing Board, which provides business, marketing, and budget oversight for the foundation. The company will also appoint a representative to the End User Technical Advisory Board, which brings end-user needs and perspectives to CNCF community discussions.

To learn more about becoming a CNCF member, visit https://www.cncf.io/about/join/.

About Cloud Native Computing Foundation
Cloud native computing empowers organizations to build and run scalable applications with an open source software stack in public, private, and hybrid clouds. The Cloud Native Computing Foundation (CNCF) hosts critical components of the global technology infrastructure, including Kubernetes, Prometheus, and Envoy. CNCF brings together the industry’s top developers, end users, and vendors and runs the largest open source developer conferences in the world. Supported by nearly 800 members, including the world’s largest cloud computing and software companies, as well as over 200 innovative startups, CNCF is part of the nonprofit Linux Foundation. For more information, please visit www.cncf.io.

Media Contact
The Linux Foundation
pr@cncf.io

View original content to download multimedia:https://www.prnewswire.com/news-releases/cncf-welcomes-adyen-as-platinum-end-user-member-to-advance-open-source-financial-infrastructure-302927411.html

SOURCE Cloud Native Computing Foundation

Continue Reading

Technology

Tiger Analytics Achieves AWS Premier Tier Status in the Amazon Web Services Partner Network

Published

on

By

The recognition reflects Tiger Analytics’ demonstrated technical expertise, customer success, and continued investment in its AWS partnership, strengthening its ability to deliver enterprise-scale cloud, data, and AI solutions.

SANTA CLARA, Calif., Nov. 11, 2026 /PRNewswire/ — Tiger Analytics, a global leader in AI and analytics, today announced that it has achieved AWS Premier Tier Services Partner status in the Amazon Web Services (AWS) Partner Network (APN).

Achieving AWS Premier Tier Services Partner status differentiates Tiger Analytics as an AWS Partner who demonstrated expertise and notable success in helping customers design, architect, build, migrate, and manage their workloads on AWS.

“Achieving AWS Premier Tier marks an important inflection point in Tiger Analytics’ relationship with AWS,” said Puneet Piplani, Head of Strategic Growth and Alliances. “It recognizes the expertise and customer impact we have built together, while creating an even stronger foundation for what comes next. Our ambition is to combine Tiger Analytics’ deep data and AI capabilities with the scale and innovation of AWS to help enterprises move faster from AI ambition to measurable business outcomes. Premier Tier is an important milestone, and we believe the biggest opportunities in our partnership are still ahead of us.”

To earn Premier Tier, companies must complete a rigorous approval process through accreditations and certifications, must demonstrate a long-term investment in their relationship with AWS, and must have extensive expertise in deploying customer solutions on AWS. AWS Premier Tier Services Partners also have a strong team of AWS Trained & Certified technical consultants and have deep expertise in project management and professional services.

The impact of this collaboration is reflected in customer engagements such as Cross River Bank, where Tiger Analytics worked with AWS to establish a governed foundation for developing and deploying agentic AI across banking functions.

“Together with Tiger Analytics and AWS, we’ve built a foundation that allows us to rapidly develop and deploy agentic AI across banking functions,” said Pravesh Rijal, Chief Data and AI Officer at Cross River Bank.

About Tiger Analytics

Tiger Analytics is a global leader in AI & analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services and solutions to empower businesses to achieve real outcomes. Our team of 7000+ technologists and consultants is based across the globe, working closely with clients across multiple sectors. For more information, visit tigeranalytics.com 

View original content to download multimedia:https://www.prnewswire.com/news-releases/tiger-analytics-achieves-aws-premier-tier-status-in-the-amazon-web-services-partner-network-302936454.html

SOURCE Tiger Analytics

Continue Reading

Technology

Meta Wins CNCF End User Case Study Contest for Accelerating AI Infrastructure Deployments From Hours to Minutes

Published

on

By

Using Argo CD and Kargo, Meta is building a GitOps platform to streamline application delivery across 100 Kubernetes clusters supporting AI research and inference

Key Highlights

Meta’s Cloud Foundation team won the CNCF End User Case Study Contest for its GitOps platform, built with Argo CD and Kargo to streamline Kubernetes application delivery.The new platform cuts routine application deployment times from more than four hours to minutes, streamlining the small team’s workflow through a simplified application definition while adding more advanced features such as automated deployment configuration, independent release promotion, and health verification.By separating application delivery from infrastructure provisioning, Meta is enabling independent application rollouts while retaining Terraform for infrastructure management.

SALT LAKE CITY, Nov. 11, 2026 /PRNewswire/ — KubeCon + CloudNativeCon North America 2026 — The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced Meta as the winner of the CNCF End User Case Study Contest for its adoption of cloud native technologies to accelerate application delivery across its AI infrastructure. Through a GitOps platform built on Argo CD and Kargo, Meta’s Cloud Foundation team is transforming how applications are deployed and managed across approximately 100 Kubernetes clusters supporting AI research and inference, reducing routine deployment times from more than four hours to minutes.

“AI infrastructure is causing organizations to rethink how they manage applications across distributed environments,” said Chris Aniszczyk, CTO, CNCF. “Meta’s approach demonstrates how open source technologies like Argo can help teams automate their application delivery, reduce operational complexity and scale infrastructure without adding unnecessary overhead. It’s a powerful example of how cloud native technologies are supporting the operational demands of AI at scale.”

Meta’s Cloud Foundation team, composed of more than 15 engineers, supports approximately 100 Kubernetes clusters across multiple cloud providers and accelerator families. Previously, Terraform was used for both infrastructure provisioning and Kubernetes application deployment, tying even routine application updates to a lengthy infrastructure release process. The shared deployment model meant stalled rollouts could delay unrelated releases and lacked automated health checks to verify application status.

To address these challenges, Meta began building a GitOps platform that separates application delivery from infrastructure provisioning. Terraform continues to manage infrastructure, while Argo CD reconciles application deployments against configurations stored in Git. Kargo orchestrates release promotion across environments, enabling independent rollouts, automated health checks and versioned release records that improve deployment traceability and recovery.

“GitOps and Argo CD give our small team a great foundation, shaped by years of community experience in Kubernetes delivery,” said Phong Nguyen, Production Engineer, Meta. “We focus on connecting it to Meta’s systems and aim to share our own lessons along the way.”

Meta also simplified application delivery by allowing developers to specify deployment requirements through a short application definition. The platform automatically generates Argo CD and Kargo configurations, enabling independent release promotion, automated health verification and deployment consistency without requiring application teams to manage complex configurations.

Meta plans to expand adoption of its GitOps platform and transition to a centrally managed Argo CD service to reduce maintenance overhead across its Kubernetes fleet. The team is also exploring upstream contributions to improve container registry authentication and Argo CD performance in large clusters.

To learn more about Meta’s implementation and results, read the full GitOps at Meta: How We Went From Terraform on Cron to GitOps for AI Infra case study.

About Cloud Native Computing Foundation

Cloud native computing empowers organizations to build and run scalable applications with an open source software stack in public, private and hybrid clouds. The Cloud Native Computing Foundation (CNCF) hosts critical components of the global technology infrastructure, including Kubernetes, Prometheus and Envoy. CNCF brings together the industry’s top developers, end users and vendors and runs the largest open source developer conferences in the world. Supported by nearly 800 members, including the world’s largest cloud computing and software companies, as well as over 200 innovative startups, CNCF is part of the nonprofit Linux Foundation. For more information, please visit www.cncf.io.

Media Contact
The Linux Foundation
pr@cncf.io 

View original content to download multimedia:https://www.prnewswire.com/news-releases/meta-wins-cncf-end-user-case-study-contest-for-accelerating-ai-infrastructure-deployments-from-hours-to-minutes-302934371.html

SOURCE Cloud Native Computing Foundation

Continue Reading

Trending