Google Home bekommt Gesellschaft: In den kommenden Monaten wollen Panasonic, Anker und das chinesische Unternehmen Mobvoi smarte Lautsprecher mit Googles digitalem Assistenzsystem auf den Markt bringen.
Quelle: Heise Tech News
Definitiv beeindruckend: Das StarVR-Headset bietet ein deutlich größeres Sichtfeld als die Konkurrenz. Dafür hapert es noch in anderen Bereichen, vor allem der Tragekomfort ist katastrophal. Wir haben das erste Entwicklerkit ausprobiert.
Quelle: Heise Tech News
Continuous Deployment plugins for Kubernetes and Azure Container Service
We have created a Azure Container Service (ACS) plugin for Jenkins, so that no matter which ACS orchestrator you have chosen, you can continuously deploy to that cluster from Jenkins with the same, simple plugin.
Azure Container Service optimizes the configuration of popular open-source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, number of hosts, and choice of orchestrator tools (Docker Swarm, Kubernetes or DC/OS) – Container Service handles everything else.
When we were working on the ACS plugin, we surveyed the Jenkins landscape and couldn’t find a plugin that allowed native continuous deployment from Jenkins to Kubernetes. So we decided to create one, as we think it would be extremely valuable to both the Jenkins and Kubernetes communities. Our ACS plugin uses this plugin as a dependency for Kubernetes support.
Here's a sneak preview:
Jenkins Agent plugin for Azure Container Service and Azure Container Instances
By having a large number of agents, Jenkins is able to run a large number of jobs in parrallel. With the VM Agent plugin, Jenkins will dynamically provision a Jenkins VM agent on Azure when there is a new job and deprovision the VM when the job is done. ci.jenkins.io uses the plugin extensively. As does the .NET Core Team, who managed to reduce their monthly build cost by 75%!
Now, imagine instead of a VM, you can create a container agent that takes seconds instead of minutes to provision as it's based on a Doker image with all the tools and environment settings you need. You can create a new container to run your build and tear it down after the build is complete without worrying about the provisioning cost. Also, if you want to experiment with Azure Container Instances (ACI), you can go right ahead and give it a try as the plugin supports ACI too.
We will be debuting all of these plugins at Jenkins World 2017, demonstrating how to build and deploy a modern Java app to Azure App Service on Linux and to a Kubernetes cluster on Azure. Be sure to catch our talk on Azure DevOps Opensource Integration. See you at Jenkins World 2017!
Quelle: Azure
Der Fernseh-Streamingdienst Waipu TV startet anlässlich der Ifa mit neuen Funktionen. Kunden erhalten deutlich mehr Aufnahmespeicher, können die Fernsehsender sortieren und endlich wieder Sender der ProSiebenSat.1-Gruppe aufnehmen. (Ifa 2017, Streaming)
Quelle: Golem
Der Netzbetreiber QSC baut sein Geschäft um und will Kooperationen und Beteiligungen erleichtern. Der komplette Netzbetrieb wandert in ein neues Unternehmen. (QSC, DSL)
Quelle: Golem
Facebook verschärft seine Kampagne gegen Verbreiter von Falschmeldungen: Wer zu häufig für falsch befundene Nachrichten geteilt hat, darf künftig keine Werbeanzeigen mehr schalten. Die mögliche Einbuße an Reichweite soll die Seitenbetreiber vom Teilen wahrheitswidriger Inhalte abhalten. (Facebook, Spam)
Quelle: Golem
Learn how migrating to the etcd3 v3 schema led to significant reductions in CPU usage and memory usage (RSS), a 300% reduction in disk IOPS for each etcd node, and 10x reduction in network traffic.
Quelle: OpenShift
Intel stellt zahlreiche Workstation-Prozessoren der neuen Xeon-W-Serie vor. Sie enthalten vier bis 18 Kerne, unterstützen ECC-Speicher und bis zu 512 GByte RAM.
Quelle: Heise Tech News
Mit einem neuen Sensor namens Hero will Logitech das Problem der Akkulaufzeit bei kabellosen Profi-Gaming-Mäusen gelöst haben. Der erste Nager ist auch schon unter der Bezeichnung G603 erhältlich – mitsamt einer neuen Tastatur und einem riesigen Mauspad. (Logitech, Eingabegerät)
Quelle: Golem
In February 2011, viewers watched with amazement as IBM Watson went against Brad Rutter and Ken Jennings, two of the sharpest and fastest thinking human beings at that time, and beat them handily at Jeopardy!.
It is not just the speed at which Watson made the decisions that was impressive, but also that it used a confidence score to arrive at an answer. There were times when Watson had the right answer on the board, but with a lower confidence score, so it didn’t ring the buzzer. Another amazing fact is that Watson was conversing with host Alex Trebek as a normal human being would.
In my previous post, I described how cognitive disruption isn’t about man vs. machine; it’s about machines helping mankind by augmenting the human brain. How exactly can that happen?
Well, for starters, it can add a human element to your systems and do it fast. It is more than just looking at random data, understanding it, recognizing a pattern in it and invoking a rule based on that.
As IBM CEO Ginni Rometty recently said when asked what “cognitive at the core” means, “You make your computers almost have all the senses that you and I have, the ability to see, to feel, to hear, and to read.”
The human brain can see and interpret an image, or follow a conversation with about 95 percent accuracy and so does Watson. Imagine the possibilities when you get that power into your systems and remove the human weaknesses such as carelessness, fatigue and overlooking facts.
For the magic of the “man and machine in one” to happen, we need to not only interact effortlessly with each other, but become part of each other. That is what humanizing the computer is all about.
To accomplish this, a true cognitive system must learn at scale, reason with purpose, work with confidence, reduce human-introduced errors and interact with humans naturally.
For example, cognitive systems such as Watson can not only read x-rays, MRI images, CT scans and understand and analyze them just as a specialist would, but they can also learn a patient’s medical history and recommend treatment options just as a human brain would augment decision-making abilities. Watson helped with treating a cancer patient, coming up with same recommendation as two cancer specialists did. Imagine the power of these expert medical recommendations readily available to doctors treating patients in remote locations via mobile phones.
Ultimately, it will be the ability to speak to and understand a user in their native tongue, when they need it the most, in a form that is most consumable (such as mobile apps, speech, text, chatbot or virtual agent), with an understanding of the urgency, needs and emotions at that time, and making critical decisions based on the “human” context in conjunction with the existing data that will add the powerful differentiator for your business in the marketplace.
Either you could do business as usual with an average, programmable-era cloud or look for a cloud solution in the cognitive era that can make possible what was once thought to be impossible.
Cognitive solutions are ready to help us. It’s about time to embrace them.
You can browse through the list of Watson APIs and SDKs to see how Watson can help you build a cognitive enabled smarter solution for you.
Learn more about IBM Watson Developer Cloud.
The post What can cognitive computing do for you? appeared first on Cloud computing news.
Quelle: Thoughts on Cloud
