Retro-Bike: Elektromotorrad Regent No.1 wird teurer als angekündigt
Das Elektromotorrad Regent No.1 wird nun doch nicht für 9.500 Euro, sondern für 12.495 Euro in der Leichtkraftradklasse verkauft. (Elektromotorrad, Elektroauto)
Quelle: Golem
Das Elektromotorrad Regent No.1 wird nun doch nicht für 9.500 Euro, sondern für 12.495 Euro in der Leichtkraftradklasse verkauft. (Elektromotorrad, Elektroauto)
Quelle: Golem
Einige Marvel-Filme erhalten bei Disney+ quasi ein Upgrade: Sie stehen dann im erweiterten Imax-Bildformat samt DTS-Ton zur Verfügung. (Disney+, Disney)
Quelle: Golem
Ihr Beruf ist das Fundament Ihrer finanziellen Unabhängigkeit. Doch auch in der IT-Branche können Sie eine Krankheit oder ein Unfall schnell aus der Bahn werfen. Die Berufsunfähigkeitsversicherung von HDI bietet im Ernstfall umfassenden Schutz. (Versicherung)
Quelle: Golem
1996 waren weibliche Spielfiguren die Ausnahme, mit Lara Croft änderte sich das. Wie spielt sich das erste Tomb Raider nach 25 Jahren? Von Benedikt Plass-Fleßenkämper (Tomb Raider, Sony)
Quelle: Golem
We are pleased to share that the team from Phlyt, experts in cloud-native development, has joined Red Hat to enable us to help even more customers with digital transformation initiatives. Red Hat already equips customers across industries with the people, process, and technology needed for an era when every CIO is a cloud operator.
Quelle: CloudForms
There’s no one path to finding success as a Red Hatter. Red Hat Quality Engineer Dita Stehlikova, for instance, didn’t start out looking for a career in IT – but she fell in love with open source early on. Read her story!
Quelle: CloudForms
Red Hat is honored to be recognized by CRN for our innovation with Red Hat OpenShift and Red Hat Enterprise Linux (RHEL). The annual award program showcases innovative vendors in the IT channel across 47 different technology categories. Learn more.
Quelle: CloudForms
Many organizations use external identity providers like Google or Microsoft to manage authentication across their applications — and many may wish to bring this functionality to their cluster management, too. In Mirantis Kubernetes Engine 3.5.0, we’ve introduced support for external OpenID Connect (OIDC) providers to help you do just that. OIDC enables you to authenticate … Continued
Quelle: Mirantis
As digital transformation accelerates, the data available to organizations about their products, customers, and markets is growing exponentially. Turning this data into insights will be critical to innovating and growing. Furthermore, the capacity to make data-driven decisions must be pervasive in organizations, accessible to a broad range of employees, and simple enough to apply to day-to-day decisions as well as the most strategic. However, a major barrier to achieving this vision is a gap in access to the tools for analysis and building broad-based usage.Looker’s semantic model enables complex data to be simplified for end users with a curated catalog, pre-defined business metrics, and built-in transformation. We’ve always been platform first, and this is an expansion of that strategy. We are extending our investment here to power more data rich experiences and aim to provide access to the Looker model more directly in other tools. By bringing governed data directly to end users in tools they are already familiar with, this will democratize access to trusted data across organizations.Google Workspace is everything you need to get anything done, all in one place. Google Workspace includes all of the productivity apps you know and love—Gmail, Calendar, Drive, Docs, Sheets, Slides, Meet, and many more. Whether you’re returning to the office, working from home, on the frontlines with your mobile device, or connecting with customers, Google Workspace is the best way to create, communicate, and collaborate.Now, with the Connected Sheets integration with Looker, users can interactively explore data from Looker in a familiar, spreadsheet interface. The integration creates a live connection between Looker and Sheets, meaning that data is always up to date and access is secured based on the user exploring the data. Common tools like formulas, formatting, and charts make it easy to perform ad-hoc analysis. This integration will be available in preview by December 2021, with GA next year. You can sign up to hear when the Connected Sheets and Looker integration is available.And that’s not all. Looker dashboards are critical to keep teams focused on the metrics that matter. We will be releasing a Google Workspace Add-on that enables visuals from those dashboards to be embedded in Google Slides. Embedded visuals in Slides can be refreshed so that people are always seeing the latest data.Self-service business intelligence (BI) tools have also gained widespread adoption among business users, with a drag-and-drop, graphical user interface that makes exploring data easy. This flexibility is critical in democratizing analytics, but it also introduces risk that for the most important data may be duplicated or inconsistent definitions are introduced. With Looker’s upcoming Governed BI Connectors, we will give organizations the flexibility of self-service, while allowing users to leverage their governed, trusted data in those tools too. Users will be able to live connect from BI tools to Looker’s semantic model. From there, they can use the familiar self-service tool they are used to for analytics, even mashing up governed data with their own data. Connectors will be available for Google Data Studio, Tableau, and more. These connectors will be made available as they are ready in the coming year, with the full set being available in preview by the end of 2022. You can register to stay up to date on preview availability for Governed BI Connectors.With these new capabilities, everyone in an organization can be empowered to make more data-driven decisions, in whatever tool they are familiar with, all powered by consistent, trusted data. To learn more about Looker’s semantic model as well as these new capabilities, tune into our JOIN session discussing ‘What’s New for Data Modelers’.
Quelle: Google Cloud Platform
Data science can be applied to business problems to improve practices and help to strengthen customer satisfaction. In this blog, we address how the addition of Looker extends the value of your Google Cloud investments to help you understand your customer journey, unlock value from first-party data, and optimize existing cloud infrastructure. Data is a powerful tool While everyone doesn’t need to understand the nuts and bolts of data technologies, most people do care about the value data can create for them — how it can help them do their jobs better. Within the data space, we are seeing a trend of ongoing failure to make data accessible to “humans” – the industry still hasn’t figured out how to put data into the hands of people when and where they need it, how they need it. What if everyone in your organization could analyze data at scale, and make more-informed, fact-based decisions? Data and insights derived from data are valuable but only if your users see it. We think Looker helps solve that. Solutions tell a larger story of how it all fits together Across all verticals and industries, businesses benefit from knowing and understanding their customers better. Many business goals are to increase revenue by improving product recommendations and pricing optimization, improving the user experience through targeted marketing and personalization, and reducing churn while improving retention rates. To help reach these goals, key strategies should focus on understanding customer needs, their motivations, likes and dislikes, and using all available data – in other words, put yourself in the shoes of your customer. Our goal with Looker solutions is to offer the right level of out-of-box support that allows customers to get to value quickly, while maintaining the necessary flexibility. We aim to offer a library of data-driven solutions that accelerate data projects. Many solutions include Looker Blocks (pre-built pieces of code that accelerate data exploration environments) and Actions (custom integrations) that get customers up and running quickly and lets you build business-friendly access points for Google Cloud functionality like BQML, App Engine and Cloud Functions. Below, you’ll find a sampling of the newest Looker solutions. Listening to customers by looking at the dataLooker’s solution for Contact Center AI (CCAI), helps businesses gain a deeper understanding and appreciation of their customers’ full journey by unlocking insights from all their company’s first-party data. Call centers can converse naturally with customers and deliver outstanding experiences by leveraging artificial intelligence. CCAI‘s newest product —CCAI Insights — reviews conversations support agents are having, finding and annotating the data with the important information, and identifying the calls that need review. We’ve partnered with the product teams at CCAI to build Looker’s Block for CCAI Insights, which sets you on the path to integrating the advanced insights into your first-party data in Looker, overlaying business data with the customer experience.Sentiment Analysis Dashboard: identifies how customers feel about their interactionsBusinesses can better understand contact center experiences and take immediate action when necessary to make sure the most valuable customers receive the best service. Realizing full business value of First-Party dataLooker for Google Marketing Platform (GMP) provides marketers the power to unlock the value of their company’s first-party data to more effectively target audiences. The Looker Blocks and Actions for GMP offer interactive data exploration, slices of data with built-in ML predictions and activation paths back to the GMP. This strategic solution continues to evolve with the Looker Action for Google Ads (Customer Match), the Looker Action for Google Analytics (Data Import) and the Looker Block for Google Analytics 4 (GA4).The Looker Action for Customer Match allows marketers to send segments and audiences based on first-party data directly into Google Ads. Reach users cross-device and across the web’s most powerful channels such as Display, Video, YouTube, and Gmail. The entire process is performed within a single screen in Looker, and is able to be completed in a few minutes by a non-technical user. The Looker Action for Data Import can be used to enhance user segmentation and remarketing audiences in Google Analytics by taking advantage of user information accessible in Looker, such as in CRM systems or transactional data warehouses.The Looker Block for Google Analytics 4(GA4) expands the solution’s support with out-of-the-box dashboards and pre-baked BigQuery ML models for the newest version of Google Analytics.The Looker Block offers up reports with flexible configuration capabilities to unlock custom insights beyond the standard GA reporting. Customize audience segments, define custom goals to track and share these reports with teams who do not have access to the GA console.From clinical notes to patient insights at scaleTaking a look at the Healthcare vertical, theLooker Healthcare NLP API Block serves as a critical bridge between existing care systems and applications hosted on Google Cloud providing a managed solution for storing and accessing healthcare data in Google Cloud. The Healthcare NLP API uses natural language models to extract healthcare information from medical text, rapidly unlocking insights from unstructured medical text and providing medical providers with simplified access to intelligent insights. Healthcare providers, payers, and pharma companies can quickly understand the context and relationships of medical concepts within the text, such as medications, procedures, conditions, clinical history, and begin to link this to other clinical data sources for downstream AI/ML. Specifically, the natural language processing (NLP) Patient View (pictured below) allows you to review a single selected patient of interest, surfacing their clinical notes history over time. It informs clinical diagnosis with family history insights, which is not currently captured in claims, and captures additional procedure coding for revenue cycle purposes.NLP Patient View Dashboard: details on specific patients’The dashboard below shows the NLP Term View which allows users to focus on chosen medical terms across the entire patient population in the dataset so they can start to view trends and patterns across groups of patients. NLP Term View Dashboard: relate medical terms across your datasetThis data can be used to: Enhance patient matching for clinical trials Identify re-purposed medicationsDrive advancements for research in cancer and rare diseasesIdentify how social determinants of health impact access to careManaging Costs Across CloudsEffective cloud cost management is important for reasons beyond cost control — it provides you the ability to reduce waste and predictably forecast both costs and resource needs. Looker’s solution for Cloud Cost Management offers quick access to necessary reporting and clear insights into cloud expenditures and utilization. This solution brings together billing data from different cloud providers in a phased approach: get up and running quickly with Blocks optimized for where the data is today (Google Cloud, AWS or Azure) as you work towards more sophisticated analysis for cross-platform planning and even cloud spend optimization with the mapping of tags, labels and cost centers across clouds.Multi-cloud Summary Dashboard: a single view into spend across AWS, Azure and GCPThe Looker Cloud Cost Management solution provides operational teams struggling to monitor, understand, and manage the costs and needs associated with their cloud technology with a comprehensive view into what, where and why they are spending money.Making better decisions with Looker-powered dataLeading companies are discovering ways to get value from all of that data beyond displaying it in a report or a dashboard. They want to enable everyone to make better decisions but that’s only going to happen if everyone can ask questions of the data, and get reliable, correct answers without using outdated or incomplete data and without waiting for it. People and systems need to have data available to them in the way that makes the most sense for them at that moment. It’s clear that successful data-driven organizations will lead their respective segments not because they use data to create reports, but because they use it to power data experiences tailored to every part of the business, including employees, customers, operational workflows, products and services. As people’s way of experiencing data has evolved, more than ever before, dashboards alone are not enough. You can use data as fuel for data-driven business workflows, and to power digital experiences that improve customer engagement, conversions, and advocacy. From Nov. 9 – 11th, Looker is hosting its annual conference JOIN, where we’ll be showing new features, including how we help to:Build data experiences at the speed of businessAccelerate the business value with packaged experiences Unleash more insights for more people in the right way – Deliver data experiences at scaleThere is no cost to attend JOIN. Register hereand learn how Looker helps organizations build and deliver custom data-driven experiences that goes beyond just reports and dashboards, scales and grows with your business, allows developers to build innovative data products faster, and ensures data reaches everyone.
Quelle: Google Cloud Platform