Die Highend-Version von Valhalla benötigt etwas weniger teure Hardware als die von Watch Dogs Legion – dafür ist DirectX-12 Pflicht. (Assassin's Creed Valhalla, DirectX)
Quelle: Golem
Automattic — a leader in publishing and e-commerce software and the parent company behind the industry-leading brands WordPress.com, WooCommerce, WordPress VIP, Jetpack, Tumblr, and more — was awarded a coveted spot on the prestigious Forbes Cloud 100 list, the annual ranking of the world’s top private cloud companies. In partnership with Bessemer Venture Partners and Salesforce Ventures, the Forbes Cloud 100 recognizes standouts in tech’s hottest categories from disruptive startups to internet giants.
A pioneer in democratizing publishing and e-commerce, WordPress powers 38 percent of all websites globally, has 10x the content management market share of its nearest competitor, and is the platform of choice for tens of millions of websites around the world.
WooCommerce, Automattic’s e-commerce solution, powers 30 percent of the top one million global e-commerce websites — allowing anyone to sell anything from anywhere. With WooCommerce, people can build exactly the business they want, with everything they need to run their store on a single platform.
Automattic’s technology also powers the largest brands on the web. The WordPress VIP Platform is used by more than 250 enterprises, including Salesforce.com, Facebook, Microsoft, New York Times, Spotify, and CNN, to publish content to hundreds of millions of readers and users. VIP’s purpose-built infrastructure delivers flexibility, security, and control with unrivaled performance and effortless scaling.
Automattic’s innovation is also attracting a growing and diverse array of platform interactions — e.g. 1.7 million new users registering each month across the Automattic ecosystem, 1.2 billion monthly unique visitors on WordPress.com, and 9 billion monthly page views on Tumblr.
“We are incredibly proud to be included in the Forbes Cloud 100 list — for the fifth year in a row — among so many other noteworthy companies,” said Matt Mullenweg, CEO, Automattic. “Our passion is making the web a better place, and I credit the extraordinary results over the years to the talented and wonderful people — both inside and outside our organization — who bring the Automattic vision to life every day.”
Quelle: RedHat Stack
More and more companies want to adopt the latest cloud-based artificial intelligence (AI) and machine learning (ML) technologies, but they are subject to an increasing array of data privacy regulations. This is an important concern for customers, who are interested in using AI and ML systems to drive better business outcomes while complying with new data privacy laws.Today we’re outlining how our AI/ML Privacy Commitment reflects our belief that customers should have both the highest level of security and the highest level of control over data stored in the cloud. As Google Cloud CEO Thomas Kurian recently shared, we have heavily invested in providing customers with the capabilities they need to prevent unauthorized access to their data. “This [AI/ML Privacy Commitment] is the first of its kind in the industry, and demonstrates the company’s focus on building trust with customers,” said Nick McQuire, Senior Vice President, Enterprise Research – CCS Insight We have always maintained that you control your data and we process it according to the agreement(s) we have with you. Furthermore, we will not and cannot look at it without a legitimate need to support your use of the service — and even then it is only with your permission. Here are some of the additional measures we take to ensure your privacy: (reference: GCP Terms).In addition to these commitments, for AI/ML development, we don’t use data that you provide us to train our own models without your permission. And if you want to work together to develop a solution using any of our AI/ML products, by default our teams will work only with data that you have provided and that has identifying information removed. We work with your raw data only with your consent and where the model development process requires it. At Google Cloud, we are committed to giving you increased control and visibility over your data. Transparency creates trust, and trust is necessary for any business to succeed in this arena. That’s why we led the way in providing meaningful transparency into provider access to customer data and now we’re extending that transparency to our AI and ML work. Helping you address global privacy and data protection requirements enables you to apply machine learning to accelerate your business with confidence. “Google Cloud’s AI/ML Privacy Commitment is the latest move by the company to ensure its customers have greater control and visibility over their data in the cloud…This commitment also underscores the importance of proactive policies and tools to enable security and privacy in machine learning, which based on our data, is more important than ever,” CCS Insight’s McQuire continued. To learn more about our three pillars of sovereignty in Google Cloud, see this blog post. And to learn more about Google Cloud’s commitment to more accountable products and a culture of responsible innovation, please see our perspective on Responsible AI.
Quelle: Google Cloud Platform
Understanding the data we collect is essential—it allows us to identify trends and uncover answers about our world. However, stories in our data frequently go untold. Large datasets are hard to share between research communities due to their size, security restraints, and complexity. Even if these datasets are accessible to users, the tools needed to query them often require deep technical knowledge. This is why Redivis partnered with Google Cloud to help make research data from higher education institutions easier to analyze and more accessible. Redivis’s mission is to create a frictionless “data commons”—a place where researchers can discover, request access to, and query large datasets to support their studies. To make this goal possible, Redivis began to rethink the traditional data-distribution process.Challenges to making data more accessibleWhen Redivis first started, their team interviewed dozens of researchers to understand their biggest problems. Most researchers expressed how difficult it is to find new datasets, and how many steps it takes to access and work with the data—often before knowing if the information the dataset contains is even useful for their study. Additionally, data administrators want their datasets to be utilized but are often concerned about data security.Storing large amounts of sensitive data requires the right set of security controls. To help keep their data secure, Redivis developed a transparent, tiered access system for datasets. Researchers can request separate access to a dataset’s documentation, variables, sample, and full data, which allows them to assess the usability of the dataset without filing access applications. Moreover, administrators can set rules for how researchers use and combine different datasets depending on their level of access. Redivis built their platform on top of Google Cloud’s security infrastructure, which allows the company to encrypt data, manage security keys, and helps secure datasets with the operational and physical security layers available. Combined with detailed audit logs (supported by Google Cloud Logging) and robust application-level security controls, Redivis is able to provide data owners with the peace of mind that their data is only being accessed and used as they’ve allowed.Sharing data to build more compelling storiesWhen we join multiple sources of data, we can uncover a more complete story, such as in the case of examining environmental conditions. By combining data about historic fires, air quality data, and population health outcomes, researchers are able to offer policy guidance to protect the most at-risk populations. However, if the datasets stayed separate, we would likely lose insight into the impact these events have on each other. With the help of cloud solutions like Cloud Storage and BigQuery, Redivis figured out ways to securely connect the data between public datasets hosted in Big Query with private datasets to unlock enriched insights for their researchers. Using Cloud Storage, Redivis makes it easy for administrators to upload large amounts of data to the platform. These data records are then stored in BigQuery, Google Cloud’s serverless and scalable data warehouse. When researchers explore their data with Redivis, they can easily see what steps they need to take to request access to existing records. Once authorized, users can query the data using SQL, without needing to know database languages. This will provide the user with manageable data subsets that can be analyzed within the context of their current study. Finally, researchers can integrate a wide array of analytical tools into this data pipeline. Using BigQuery’s ability to one-click export data to Google’s Data Studio, Redivis is able to create interactive data visualizations and integrate with notebook environments through Python and R clients.With BigQuery managing infrastructure requirements, Redivis scaled to petabytes of data, 1,000 times larger than the terabytes they had previously, without additional infrastructure workloads straining their company. Most importantly, BigQuery’s compute architecture supports real-time analysis across billions of records from both public and restricted datasets, unlocking new ways to discover insights. “Researchers are regularly coming to me to say that queries that once took hours are executing in seconds,” says Ian Mathews, CEO of Redivis. “One can only imagine how transformative this is in understanding new datasets and exploring novel hypotheses.” The future of data accessibilityAs more academic institutions and researchers join Redivis, they will continue to identify ways of minimizing friction at every step of the data-driven research process. To learn more about the steps Redivis is taking to make data more accessible and empower researchers, check out this video. And to learn more about BigQuery, visit our website.Related ArticleAccelerating Mayo Clinic’s data platform with BigQuery and Variant TransformsSee how Mayo Clinic uses Google Cloud to work with genomic variant data for research purposes. Cloud data warehouse BigQuery lets them sa…Read Article
Quelle: Google Cloud Platform
Increasingly, businesses are looking to the cloud to derive more value out of their business data. At Google Cloud, we’re committed to providing customers choice across technology, solutions, and partnerships.Our work with HCL Technologies is an example of this. HCL, which launched its Google Cloud Business Unit in 2019, is helping organizations across industries accelerate their migrations to Google Cloud, and has named Google Cloud its preferred cloud provider for several key verticals. As part of this work, last month HCL announced that its Actian Avalanche hybrid cloud data warehousing service will be available on Google Cloud.Actian Avalanche is a high-performance hybrid cloud data warehouse designed to power an enterprise’s most demanding operational analytics workloads. Together with BigQuery, Google Cloud’s enterprise data warehouse, customers now have choice and flexibility to modernize their data warehouses in the cloud for business agility.Actian Avalanche enables a seamless path to migrate legacy data warehouses, including IBM Netezza and Oracle Exadata, to Google Cloud, through a hybrid-cloud offering leveraging Google Cloud’s Anthos application platform. By modernizing enterprise data analytics, customers can improve performance by up to 20 percent on Google Cloud vs other clouds per Actian’s tests, while building a foundation for future innovation and scale in the cloud.Actian Avalanche on Google Cloud utilizes underlying infrastructure technologies like Google Kubernetes Engine, Dataproc, and Cloud Storage. Actian is tightly integrated with Looker for data visualization and is actively engaged with Google Cloud engineering teams for integrations with Pub/Sub, Dataflow, Dataprep, and Kubeflow.Interested in learning more about Actian Avalanche on Google Cloud? We’re offering an interactive webinar: Future of Cloud Data Warehousing. The webinar will feature Manvinder Singh, Director, IaaS/PaaS Partnerships at Google Cloud and Raghu Chakravarthi, Actian’s Chief Product Officer, on October 21 at 11am PT (2pm ET). To join us, sign up here.We’re excited to continue to expand our strategic relationship with HCL, a trusted IT and business transformation partner to businesses around the globe.
Quelle: Google Cloud Platform
Organizations all over the world rely on Cloud CDN for fast, reliable web and video content delivery. Now, we’re making it even easier for you to take advantage of our global network and cache infrastructure by reducing the cost of Cloud CDN for your content delivery going forward.First, we’re reducing the price of cache fill (content fetched from your origin) charges across the board, by up to 80%. You still get the benefit of our global private backbone for cache fill though—ensuring continued high performance, at a reduced cost. We’ve also removed cache-to-cache fill charges and cache invalidation charges for all customers going forward.This price reduction, along with our recent introduction of a new set of flexible caching capabilities, makes it even easier to use Cloud CDN to optimize the performance of your applications. Cloud CDN can now automatically cache web assets, video content or software downloads, control exactly how they should be cached, and directly set response headers to help meet web security best practices.You can review our updated pricing in our public documentation, and customers egressing over 1PB per month should reach out to our sales team to discuss commitment-based discounts as part of your migration to Google Cloud.To read more about Cloud CDN, or begin using it, start here.
Quelle: Google Cloud Platform
Mit dem Pixel 5 macht es sich Google im Bereich der kleineren Smartphones im unteren Oberklassesegment gemütlich. Die Entscheidung könnte sich für Google lohnen – und für Käufer des Pixel 5. Ein Test von Tobias Költzsch (Pixel 5, Smartphone)
Quelle: Golem
Was am 10. Oktober 2020 neben den großen Meldungen sonst noch passiert ist, in aller Kürze. (Kurznews, Android)
Quelle: Golem
Neue Gruppen, Zwei-Faktor-Authentifizierung sowie Avatare aus God of War und Bloodborne: Firmware 8.0 für die PS4 bringt viele Änderungen. (Playstation 4, Sony)
Quelle: Golem
Ein langjähriger Anbieter der Funkversorgung auf der letzten Meile sieht sich mit 5G stärker werden. Doch es fehlen ihm intelligente Kundenendgeräte. (Festnetz, Wimax)
Quelle: Golem
