Adobes künstliche Intelligenz kann Personen aus Bildern ausschneiden, Sprachaufnahmen verbessern, das Verhalten von Nutzern vorhersagen und vieles mehr. Wir haben mit einem der Entwickler über Vorhersagen von Nutzerverhalten, Datenschutz und einen Berliner Chatbot gesprochen. Von Martin Wolf (KI, Interview)
Quelle: Golem
Karma Automotive hat auf der Los Angeles Motor Show den Supersportwagen SC2 vorgestellt, der rein elektrisch angetrieben wird und 820 kW erreicht. Eine Art Superdashcam ist ebenfalls eingebaut. (Karma Automotive, Technologie)
Quelle: Golem
Porsche hat ein Problem mit seinem ersten Elektroauto: Der Taycan kann nicht wie geplant ausgeliefert werden, weil das Unternehmen die Komplexität der Fertigung unterschätzt hat. (Porsche, Elektroauto)
Quelle: Golem
Apple hat eine neue Akkuhülle für das iPhone 11 und das iPhone 11 Pro sowie die Max-Version vorgestellt, die als Neuerung eine physische Kamerataste hat. (Apple, Mobil)
Quelle: Golem
Es sollte in die Stratosphäre fliegen, nun bleibt es wohl am Boden. Bei einem Test ist der Treibstofftank des ersten Starship-Prototyp von SpaceX geplatzt. (SpaceX, Raumfahrt)
Quelle: Golem
It’s A Wrap! OpenShift Commons Gathering took place on November 18th in San Diego co-located with Kubecon / NA
This OpenShift Commons Gathering at Kubecon/NA featured deep dives into OpenShift 4, Service Mesh, Istio, Operators, OKD4, Project Quay and much more!
The OpenShift Commons Gathering in San Diego brought together Kubernetes and Cloud Native experts from all over the world to discuss container technologies, best practices for cloud native application developers and the open source software projects that underpin the OpenShift ecosystem.
Here are the videos (slides are coming up soon) from the proceedings:
Welcome to the Commons: Collaboration in Action
Diane Mueller (Red Hat) | Julio Tapia (Red Hat)
Slides
Video
Panel: Navigating Devops Transformation in the Enterprise – moderated by Diane Mueller (Red Hat)
Kris Pennella (Red Hat Open Innovation Labs) | John Willis (Red Hat) | Jabe Bloom (Red Hat) | Andrew Clay Shafer (Red Hat)
N/A
Video
OpenShift 4 Release and Road Map Update
Clayton Coleman (Red Hat) | Mike Barrett (Red Hat) | Derek Carr (Red Hat)
Slides
Video
OpenShift @ ING Case Study
M.F. Thijs Ebbers (ING)
Slides
Video
OpenShift @ Broadcom
Jose Chavez (Broadcom) | Ganesh Janakiraman (Broadcom)
Slides
Video
OpenShift @ Weather.com Case Study
Claude Ballew (The Weather Channel)
Slides
Video
Lightning Talks: ML Workloads with GPUs on OpenShift
Diane Feddema (Red Hat)
Slides
Video
Lightning Talk: OKD4
Christian Glombek (Red Hat)
Slides
Video
Lightning Talk: ProjectQuay.io
Joseph Schorr (Red Hat)
Slides
Video
State of the Operators: Framework, SDKs, and beyond
Rob Szumski (Red Hat)
Slides
Video
Operators in Action Panel – Builders, Users and Maintainers
Piyush Nimbalkar (Portworx) | Evan Pease (Couchbase) | Simon Croome (StorageOS) | Peter Hack (Dynatrace) | Jason Mimick (MongoDB)
N/A
Video
State of the Platform Services: Service Mesh and Beyond
Brian Redbeard Harrington (Red Hat) | Steve Dake (IBM)
Slides
Video
How to Deliver OpenShift-As-A-Service (just like Red Hat)
Jeremy Eder (Red Hat)
Slides
Video
OpenShift @ Omnitracs Case Study
Andrew Harrison (Omnitracs) | Brian Tomlinson (Red Hat)
Slides
Video
Reception Sponsor Lightning Talk: Bare Metal HCI for Red Hat OpenShift
Hiral Patel (Diamanti)
Slides
Video
OpenShift and Machine Learning at ExxonMobil
Cory Latschkowski (ExxonMobil) | Audrey Reznik (ExxonMobil)
Slides
Video
What’s Next AMA Panel with Red Hat OpenShift Engineers, Project Leads & Product Managers
Joe Fernandes (Red Hat)
N/A
Video
To stay abreast of all the latest releases and events, please join the OpenShift Commons and join our mailing lists & slack channel.
What is OpenShift Commons?
Commons builds connections and collaboration across OpenShift communities, projects, and stakeholders. In doing so we’ll enable the success of customers, users, partners, and contributors as we deepen our knowledge and experiences together.
Our goals go beyond code contributions. Commons is a place for companies using OpenShift to accelerate its success and adoption. To do this we’ll act as resources for each other, share best practices and provide a forum for peer-to-peer communication.
Join OpenShift Commons today!
The post Recap: OpenShift Commons Gathering at Kubecon/NA San Diego [Videos Uploaded] appeared first on Red Hat OpenShift Blog.
Quelle: OpenShift
More and more frequently, modern applications are choosing a container-first development and deployment paradigm built on the foundation of Kubernetes. However, not all applications are fully modernized and containerized micro services. Many applications are a hybrid of architectures and technology which have existed for years, even decades. This can add complexity, both to the application architecture and management overhead, when a container-based, cloud-native application component needs to access existing functionality which is virtual machine based.
Container-native virtualization provides flexibility during the modernization process so that you can focus on the most critical aspects first, while still being able to access, manage, and consume VM-based aspects using the new Kubernetes-centric tools. Based on the KubeVirt project, recently accepted by the CNCF, Container-native virtualization manages both virtual machines and containers through a single control plane saving time, resources, and budget. Red Hat Container-native virtualization delivers KubeVirt functionality directly to OpenShift customers and helps to manage both virtual machines and OpenShift deployments from a single platform. This single platform simplifies the management of virtual machines and containers with a common Kubernetes interface that standardizes orchestration, networking, and storage management while also supporting the long term move to containers.
What does this mean for the developer? Regardless of where your company is in their digital transformation, you have a platform to develop on. Many legacy applications find it too complex or expensive to move to containers. Container-native virtualization allows you to continue using existing virtual machines without the overhead. And because Container-native virtualization is Kubernetes-native you keep the structure of your existing virtual machines on a platform that takes advantage of all things Kubernetes.
If you have an application built on .NET and Windows Server 2012 R2, as an example, but you’re ready to start bringing Kubernetes into the equation, Container-native virtualization may be a path to do so. In this scenario legacy applications built on .NET continue to live on in its original state, without change. Little effort is needed to migrate this workload in its existing virtual machine to Container-native virtualization. Meanwhile, those applications that are ready to start development in a Kubernetes-native state can do so. Typically, this would cause major complexities, but with Container-native virtualization both environments can be managed through a single management pane without compromising their unique architectures. Leveraging Container-native virtualization minimizes management time and resources and allows your application to live under its current requirements while delivering flexibility for future technology upgrades.
To get a sample of KubeVirt and Red Hat Container-native virtualization, visit us next week at KubeCon in booth #D1 and join us for the KubeVirt Intro and Deep Dive sessions.
The post Application Migration with Container-native virtualization appeared first on Red Hat OpenShift Blog.
Quelle: OpenShift
Organizations face challenges when it comes to extracting insights, finding meaning, and uncovering new opportunities in the vast troves of content at their disposal. In fact, 82 percent of organizations surveyed in the latest Harvard Business Review (HBR) Analytic Services report say that exploring and understanding their content in a timely manner is a significant challenge. This is exacerbated because content is not only spread over multiple systems but also in multiple formats such as PDF, JPEG, spreadsheets, and audio files.
The first wave of artificial intelligence (AI) was designed for narrow applications, training a single model to address a specific task such as handwriting recognition. What’s been challenging, however, is that these models individually can’t capture all the different attributes hidden in various types of content. This means developers must painfully stitch together disparate components to fully understand their content.
Instead, organizations need a solution that spans vision, speech, and language to fully unlock insights from all content types. We are heavily investing in this new category of AI, called knowledge mining, to enable organizations to maximize the value of their content.
Knowledge mining with Azure Cognitive Search
Organizations can take advantage of knowledge mining today with Azure Cognitive Search. Organizations can now easily glean insights from all their content through web applications, bots, and Power BI visualizations. With Azure Cognitive Search, organizations can not only benefit from the industry’s most comprehensive domain-specific models but also integrate their own custom models. What used to take months to accomplish can be realized in mere hours without needing data science expertise.
Delivering real business impact
The same Harvard Business Review report describes how our customers across industries are benefiting from knowledge mining in ways that were previously unimaginable.
Financial Services: “The return on investment (ROI) for knowledge mining at a small fund with one or two analysts is 30 percent to 58 percent. For much larger funds, with 50 or more analysts, it is over 500 percent.”—Subra Bose, CEO of Financial Fabric.
Healthcare: “A reliable knowledge mining platform can drive roughly a third of the costs out of the medical claims process.” —Ram Swaminathan, CEO at BUDDI Health.
Manufacturing: “Unlocking this potential will significantly change the way we do business with our customers and how we service their equipment.” —Chris van Ravenswaay, global business solutions manager for Howden.
Legal: “AI tells you what is inside the contract. It also tells you what the relationship of the contract is with the outside world.” —Monish Darda, CTO of Icertis.
And we’re just getting started. You can expect even deeper integration and more great knowledge mining experiences built with Azure Cognitive Search as we continue this journey. I encourage you to take a look at Harvard Business Review’s survey and findings and hear their perspective on the landscape of knowledge mining.
Getting started
Read the Harvard Business Review Analytics Services report, Knowledge Mining: The Next Wave of Artificial Intelligence-Led Transformation.
Learn more about Azure Cognitive Search.
Quelle: Azure
Mit Updates versucht Rockstar Games, die technischen Probleme der PC-Version von Red Dead Redemption 2 zu lösen – inklusive eines kuriosen Fehlers bei hohen Bildraten. Die Entwickler haben eine Übersicht mit noch nicht korrigierten Bugs ins Netz gestellt. (Red Dead Redemption 2, Red Dead Redemption)
Quelle: Golem
Nach Vodafone nutzt jetzt auch die Telekom die Leistung ihrer LTE-Stadion an den Auslandsgrenzen. Während es bei Vodafone 50 Stationen waren, stellt die Telekom gleich 500 auf volle Leistung. (Long Term Evolution, Mobilfunk)
Quelle: Golem
