Lime hat seine elektrischen Tretroller in der Schweiz stillgelegt, nachdem es möglicherweise durch einen Softwarefehler dazu kam, dass die kleinen Fahrzeuge während der Fahrt unvermittelt stoppten. (Elektromobilität, Technologie)
Quelle: Golem
Plex will die zentrale Anlaufstelle für verschiedene Videostreaminganbieter werden. Plex-Kunden sollen in der Software kostenpflichtige Abos von anderen buchen und auch kostenlose, werbefinanzierte Inhalte erhalten. (CES 2019, Streaming)
Quelle: Golem
Kennen Sie Iterationen? Es klingt wie Irritationen – und genau die löst das Wort bei vielen Menschen aus, die über agiles Arbeiten lesen. Golem.de erklärt die Fachsprache und zeigt Agilität an einem konkreten Praxisbeispiel für eine agile Softwareentwicklung. Von Marvin Engel (IT-Jobs, Softwareentwicklung)
Quelle: Golem
Since announcing our new interface back in July, our goal has been to make it easier for BigQuery users and their teams to uncover insights and share them with teammates and colleagues. Whether you’re a veteran or brand new to BigQuery, we wanted to highlight some of the major improvements we’ve made to the interface in the past five months. Some of this functionality was previously available in the classic UI, while other elements are totally new. Let’s take a closer look.Collaboration featuresRecently we’ve released several features designed to enable analysts to easily collaborate. One of the most important additions is the ability to share queries. When you’re viewing one of your saved queries, just click the Link Sharing button above the editor and turn on link sharing to let others see your query. They’ll see any updates you make to the query too, so there’s no need to paste new versions into email.You can now also add metadata to your BigQuery resources. You can add and edit descriptions for your datasets or tables, making it easier for you and your team members to understand them. You can also create custom labels that can consist of any keys and values you choose, which can serve your team as keywords to search your datasets and tables. Click the pencil icons on the Details pages for a dataset or table to edit the metadata.You can now edit individual column descriptions through the UI: in the Schema view for a table, click the Edit Schema button to edit descriptions for existing fields or add new ones.Public datasetsThe Google Cloud Public Dataset Program gives you access to more than 100 valuable sources of data—from census data to Bitcoin transactions to human genomes—all at BigQuery’s standard analysis pricing. Now you can include these datasets in your BigQuery queries to find your own insights or join them with your own data. Just choose the Add Data option in the Resources section and select Explore public datasets to visit the marketplace.Browse the marketplace for the dataset that you want, then select View Dataset to see and query it in BigQuery.Sorting and filtering queriesYou’ve told us that it can be hard to find a specific query of interest in a lengthy query history. As such, sorting and filtering your personal and project query history have been highly-requested features. Now you can do both. Sort by the query’s date, duration, duration/MB, input bytes, slot time, or slot time/MB. Filter by the query text, bytes processed, job ID, job status, user email, and the start and end time. You can also combine filtering conditions logically to create more complex searches.And beyondThe features above are just a few of the items we’ve been working on. We’ve also made lots of updates to improve performance, security, and reliability. For example, when you have many columns in your table, the results view and table previews now load 5-10 times faster when you first view them. For easy creation of secure tables, you can now also use the UI to create tables with your own managed encryption keys (learn more in our CMEK documentation). You’ll also notice a variety of small visual improvements like better text-wrapping and getting-started messages for anyone who hasn’t run queries or added datasets yet. And of course we’ve fixed many bugs—thank you for helping us by reporting them! We hope you find the interface for BigQuery useful. We’re hard at work on new features and we look forward to sharing more soon. In the meantime, please keep sending us your feedback by selecting the Send Feedback option at the top right of the Google Console while you’re using BigQuery.
Quelle: Google Cloud Platform
The increasing adoption of technologies like connected devices, augmented reality, and machine learning has changed the way we shop, and retailers are evolving how they do business to meet the needs of their customers.When I talk to retailers, they tell me it’s no longer enough to keep pace with shoppers’ growing expectations—they must get ahead of them. That’s why more and more are turning to the cloud. They’re using it to eliminate data silos and take advantage of cloud-based analytics. They’re tapping into machine learning to improve all aspects of the value chain. And they’re making use of reliable and secure cloud infrastructure to scale their businesses.Although every retail customer is different, we’ve found many of them share similar objectives. Here are three major ways we’re seeing retailers take advantage of the cloud.Storing and analyzing data in the cloudData presents both a challenge and an opportunity for retailers. Which is why Ulta Beauty, the largest beauty retailer in the U.S, is moving to Google Cloud Platform (GCP). Now, with the help of BigQuery, Ulta Beauty will be able to more efficiently predict and analyze outcomes and develop more meaningful data insights that can be leveraged to deliver a more personalized, relevant guest journey.They are not alone. This week, DSW is also sharing why they chose GCP to help relaunch their DSW VIP loyalty program for the first time in over 10 years. With more than 90% of transactions running through their loyalty program, DSW needed a flexible and scalable solution to deliver a real-time loyalty program for their 26 million active members. They’ve already seen a 9% uptick in new customers and have improved their already strong retention rate.Improving customer experiences with AI and machine learningOnce retailers are able to access these insights, they are turning to AI to help personalize the overall shopping experience. At first, we primarily saw retail companies leveraging AI tools such as machine learning for product recommendations. Now, we are seeing our customers use AI to forecast trends, predict inventory needs and can help prevent stock outs, and provide personalized recommendations to their customers to intelligently and efficiently serve them.Just look at METRO AG, one of the largest B2B wholesalers globally. They’re using AI and machine learning to better serve their customers. For example, many of their customers are restaurant owners. With Google Cloud AI capabilities, they can create tools that identify when a restaurant is out of a particular ingredient and automatically order more. Ocado is another great example. The world’s largest online-only grocery retailer drove a7% increase in contact center efficiencyby using Google Cloud machine learning technology to respond to customer emails four times faster.To help businesses further accelerate their AI solutions, we have developed our Advanced Solutions Lab (ASL), which gives businesses the opportunity to work side-by-side with Google’s AI and ML experts to solve high impact challenges. Fast Retailing, the Japanese retailer behind Uniqlo, is working with Google Cloud and ASL to help them better analyze customer datato forecast demand and deeply understand what their customers want. Carrefour, one of the world’s leading retailers, also announced last year that their engineers will be working side-by-side with our AI experts toco-create new consumer experiences. This is in addition to deploying G Suite to their employees to support the company’s digital transformation.Scaling their infrastructure to meet demandOf course, none of this innovation is possible without a reliable infrastructure that can scale instantly to meet surges in traffic. And many have found the reliability and security they need with the cloud. That’s why global cosmetics brand Lush chose Google Cloud. They migrated their e-commerce platform to GCP to handle increased traffic without compromising stability. This move that ultimately reduced infrastructure hosting costs by 40 percent. L.L.Bean alsomodernized its IT infrastructure by moving capabilities from its on-premises systems to GCP, improving customer satisfaction and IT efficiency across multiple sales channels. We talk more about this topic in a recent announcement highlighting how Google Cloud worked closely with customers like Shopify to help them meet customer demand on Black Friday and Cyber Monday. We’re excited by our work with these amazing retailers and we look forward to collaborating with many more on their journey to the cloud. If you are at NRF’s Big Show this week, visit us at booth #4255, and be sure to check out our Big Ideas Sessionto hear more about how brands like Carrefour, METRO AG, Ocado and Ulta are transforming the retail industry with the help of Google Cloud. Or you can learn more by visiting our solutions page for retail.
Quelle: Google Cloud Platform
Der bislang längste Regierungsstillstand in den USA bereitet der Technologiebranche zunehmend Sorgen. Ein einflussreicher Verband befürchtet sogar, dass das Land bei der Einführung von 5G zurückfallen könnte. (FCC, Telekommunikation)
Quelle: Golem
14 Tage lang, bei einer Gesamtspielzeit unter zwei Stunden, sind nun beim Epic Games Store Rückerstattungen möglich – im Grunde wie bei Steam, allerdings vorerst nur über den Support. (Epic Games, Steam)
Quelle: Golem
Die Telekom und Politiker mehrerer Parteien wollen Hacker als Folge der illegalen Veröffentlichung der Daten von Prominenten und Politikern strenger bestrafen. Bundesjustizministerin Barley bringt nach dem Politiker-Hack eine Musterfeststellungsklage gegen Twitter und Facebook ins Gespräch. (Politiker-Hack, Soziales Netz)
Quelle: Golem
Keine Ausweitung der Videoüberwachung, Datenschutz als Thema im Schulunterricht: Das sind erste Forderungen des neuen Bundesdatenschutzbeauftragten Ulrich Kelber. Außerdem fordert er das endgültige Aus der Vorratsdatenspeicherung – er hält sie für grundgesetzwidrig. (Vorratsdatenspeicherung, Datenschutz)
Quelle: Golem
Das Wall Street Journal berichtet, dass Apple 2019 wieder drei Smartphones auf den Markt bringen will, darunter zwei OLED- und eine LCD-Variante. Das Spitzenmodell iPhone 11 soll ein dreifaches Kamerasystem auf der Rückseite bekommen, wie es auch einige Android-Smartphone besitzen. (iPhone, Apple)
Quelle: Golem
