Announcing new tools to measure—and reduce—your environmental impact

Google Cloud is proud to support our customers with the cleanest cloud in the industry. For the past four years, we’ve matched 100% of our electricity use with renewable energy purchases, and we were the first company of our size to commit going even further by running on carbon-free energy 24/7 by 2030.  As we work to achieve 24/7 carbon-free energy, we help you take immediate action to decarbonize your digital applications and infrastructure. We’re also working with our customers across every industry to develop new solutions for the unique climate change challenges that organizations face. Today, we’re excited to expand our portfolio of carbon-free solutions and announce new partnerships that will help every company build a more sustainable future. First, we’re launching Carbon Footprint, a new product that provides customers with the gross carbon emissions associated with their Google Cloud Platform usage. Now available to every GCP user for free in the Cloud Console, this tool helps you measure, track and report on the gross carbon emissions associated with the electricity of your cloud usage. Of course, the net operational emissions associated with your Google Cloud usage is still zero. With growing requirements for Environmental Social and Governance (ESG) reporting, companies are looking for ways to show their employees, boards and customers their progress against climate targets. Using Carbon Footprint, you have access to the gross energy related emissions data you need for internal carbon inventories and external carbon disclosures, with one click. Built in collaboration with customers like Atos, Etsy, HSBC, L’Oréal, Salesforce, Thoughtworks and Twitter, our Carbon Footprint reporting introduces a new standard of transparency to support you in meeting your climate goals. You can monitor your gross cloud emissions over time, by project, by product and by region, giving IT teams and developers metrics that can help them reduce their carbon footprint. Our detailed calculation methodology is published so that auditors and reporting teams can verify that their cloud emissions data meets GHG Protocol guidance.“The power of knowledge combined with the power of technology innovation plays a vital role in proactively responding to the climate crisis we are facing. With Google Carbon Footprint reporting, Atos feeds emissions data in our Decarbonization Data Platform, demonstrating potential emissions reductions from the Google Cloud Platform to our customers. This reporting opens up new levels of emissions transparency, trajectory planning, and data insight to support our customers in meeting, and potentially accelerating towards, their climate goals.”—Nourdine Bihmane, Head of Decarbonization Business Line, Atos“The capability to measure and understand the environmental footprint of our Public Cloud usage is among the key axis of our sustainable tech roadmap. With Google Cloud Carbon Footprint, we are now able to directly follow the impact of our sustainable infrastructure approach and architecture principles.”—Hervé DUMAS, Sustainability IT Director, L’OrealWhile digital infrastructure emissions are just one part of your environmental footprint, accurately accounting for IT carbon emissions is necessary to measure progress against the carbon reduction targets required to avert the worst consequences of climate change. To help you account for emissions beyond our cloud and across your organization, we’re excited to partner with Salesforce Sustainability Cloud, integrating our Google Cloud Platform emissions data into their carbon accounting platform. “As we face unprecedented climate challenges, companies across the globe need to embed sustainability into the core of their business in order to meet growing customer and stakeholder expectations, and reduce their environmental impact. Together, Google Cloud and Salesforce Sustainability Cloud can help our joint customers accelerate their path to Net Zero, leveraging data-driven insights and visualizations to track and reduce their carbon emissions to drive sustainable change.”—Ari Alexander, GM of Salesforce Sustainability Cloud. From information to actionWith the gross energy-related emissions footprint of data associated with your Google Cloud usage now available, we’re committed to providing tools to not only measure your carbon footprint, but help you reduce it. We recently launched low-carbon region icons to help you choose cleaner regions to locate your Google Cloud resources. New users who see the icons are over 50% more likely to choose clean regions over others, ensuring their applications emit less carbon over time. For current Google Cloud users, we’re pleased to announce that Active Assist Recommender will include a new sustainability impact category, extending its original core pillars of cost, performance, security, and manageability. Starting with the Unattended Project Recommender, you’ll soon be able to estimate the gross carbon emissions you’ll save by removing your idle resources. Unattended Project Recommender uses machine learning to identify, with a high degree of confidence, projects that are likely abandoned based on API and networking activity, billing, usage of cloud services, and other signals, and provides actionable recommendations on how to remediate those abandoned projects. By deleting these projects, not only can you reduce costs and mitigate security risks, but you can also reduce your carbon emissions. In August, Active Assist analyzed the aggregate data from all customers across our platform, and over 600,000 gross kgCo2e was associated with projects that it recommended for cleanup or reclamation. If customers deleted these projects they would significantly reduce future gross carbon emissions. Check out this blog to learn more about Active Assist.As we roll-out this feature, users will see a recommendation card in the Carbon Footprint dashboard to reduce emissions. They can investigate the associated projects and choose to delete them to reduce emissionsSolutions for climate resilience Many of our customers face difficult questions about how their business impacts the natural environment today, and how it will be affected by climate change in the future. Answering these questions requires rich datasets about the planet, better analytics tools and smarter models to predict potential outcomes. For over a decade Google Earth Engine has supported scientists and developers with hyperscale computing power and the world’s largest catalog of satellite image data. Today, we are delighted to announce the preview of Earth Engine as part of Google Cloud Platform. Now, you can access Earth Engine and combine it with other geospatial-enabled products like BigQuery. By extending Earth Engine’s powerful platform to enterprises through Google Cloud, we are bringing the best of Google together. Over the past year we’ve worked with a number of organizations to use Earth Engine technology with tools like BigQuery and the Cloud AI Platform to develop new solutions for responsible commodity sourcing, sustainable land management and carbon emissions reduction. Earth Engine enables companies to track, monitor and predict changes in the Earth’s surface due to extreme weather events or human-caused activities, thus  helping them save on operational costs, mitigate and better manage risks, and become more resilient to climate change threats. This new offering will wrap the unique data, insights and functionality of Earth Engine with a fully-managed, enterprise-grade experience and reliability.As we work with our customers to accelerate their sustainability initiatives, earth observation data is proving critical to effectively plan for the long-term impacts of climate change. To extend our geospatial and sustainability use cases we’re also expanding our partnerships with CARTO, Climate Engine, Geotab, NGIS, and Planetto bring their data and core applications to Google Cloud.These partners will each make their existing platforms and datasets available globally on Google Cloud, giving you low-latency and reliable access to critical data and applications that will inform your sustainability initiatives. By integrating water availability, agricultural data, weather risks, and extensive daily satellite imagery into Earth Engine and BigQuery, you can achieve more ambitious goals for the sustainability of your business and our planet.Committing to help you meet your climate goalsWith each of these tools, we’re working to reduce the barriers you face in adopting more sustainable technology practices. We understand that building more sustainable applications and infrastructure is not easy. You face competing priorities, technical challenges, and the perception that climate action is costly. It doesn’t have to be this way. Today, we are making a sustainability pledge to you: teams across Google Cloud are committing to eliminating the barriers you face in building a more sustainable digital future for your organization, and will help you take action today to realize your climate goals. We’ll do this in a number of ways: In digital transformation projects and workshops, sustainability teams will always have a seat at the planning table, so we can work together on using cloud technology to build a more sustainable future. We’re putting low-carbon signals natively into our products to help developers choose more sustainable options early in their application development. We’ll ensure carbon impact is measured consistently with other key performance indicators. Leveraging the social cost of carbon, the ROI models and value assessments you conduct with Google Cloud will project your emissions impact too. We’ll be transparent about our carbon impact, by publishing third-party reviewed reports and methodologies, so you can trust the data for your own reports and disclosures. We’ll continue to work with the industry on best practices, including educational resources like Sustainable IT – Decoded, a new masterclass created in partnership with Intel, that shares the expertise of sustainability thought leaders. For the next decade we need to work together to avert the worst consequences of climate change. We’ve made tremendous progress in building technology that helps everyone do more for the planet, and we’re excited to see what you do with it. Visit this page to learn more about Google Cloud’s sustainability efforts.Related ArticleIT leaders are choosing a sustainable futureA recent Google-commissioned study by IDG highlights the importance of sustainable solutions when selecting a cloud provider.Read Article
Quelle: Google Cloud Platform

What’s new at Next

Google Cloud Next ‘21 has begun! We’ll be updating this blog post throughout Next with the latest announcements about Google Cloud products, solutions, and partnerships. Just bookmark this page to get all your Next news in one handy place.Cloud EverywhereIntroducing Google Distributed Cloud—in your data center, at the edge, and in the cloudGoogle Distributed Cloud is a portfolio of fully managed hardware and software solutions that extend Google Cloud’s infrastructure and services to the edge and data centers. Enabled by Anthos, it’s ideal for running local data processing, low-latency edge compute workloads, modernizing on-premises environments, running sensitive workloads that meet sovereignty requirements, or deploying private 5G/LTE solutions for customers. Read the full announcement here.Google Cloud Cortex FrameworkThe new Google Cloud Cortex Framework is a foundation of endorsed solution reference templates and content for customers to accelerate business outcomes with less risk, complexity, and cost. This allows customers to kickstart insights and reduce time-to-value with reference architectures, packaged services, and deployment accelerators. Customers can deploy templatized solutions from Google Cloud and our trusted partners for specific use cases and business scenarios in a faster, more cost-effective way. In our first release, customers can take advantage of a rich data foundation of building blocks and templates for SAP environments. Read the announcement.Customer Breakthrough in IndustryContact Center AI Insights [GA Announcement]Contact Center AI (CCAI) Insights extends the impact of Google Cloud’s CCAI solution, which lets businesses enable rich and conversational customer experiences via capabilities such as AI-powered virtual agents and Agent Assist. CCAI Insights builds on these capabilities with out-of-the-box and custom modeling techniques, making it easier for teams to use AI to mine raw contact center interaction data for actionable information, regardless of whether that data originated with a virtual or human agent.To learn more about CCAI Insights, click hereContract DocAI [Preview] Contract DocAI adds to Google Cloud’s DocAI solutions, a scalable cloud-based AI platform to help businesses efficiently scan, analyze, and understand documents. Contract DocAI brings new features purpose-built for the most important and complicated documents of all: contracts. By automatically discerning important terms and the relationships among them, Contract DocAI also helps human reviewers to work more efficiently, leading to faster and less expensive contract processing, while providing new semantic lenses to categorize and analyze contract content. To learn more about Contract DocAI, click hereLeading with DataVertex AI WorkbenchWe’re pleased to announce in public preview Vertex AI Workbench, a natural evolution of Google Cloud’s Notebook offerings, which respond to the ever-changing needs of our customers for standardized, integrated ML tooling.Vertex AI Workbench is the single environment for data scientists to complete all of their ML work, from experimentation, to deployment, to managing and monitoring models. It is a Jupyter-based, fully-managed, scalable, enterprise-ready compute infrastructure with security controls and user management capabilities.With Vertex AI Workbench, data analysts, data scientists, and all data and AI practitioners can analyze all their data from BigQuery, Dataproc, Spark, Looker, and Vertex AI in one interface. Vertex AI Workbench facilitates training data at scale, with fewer lines of code, and easy connectivity to our MLOps services to improve model survivability at the hand-off point to ML engineers.Bringing the Google MagicData Center Transformation Specialization coming soon! The Partner Advantage program will be launching a new Data Center Transformation Specialization scheduled for Q1 2022.  This Specialization is designed for our service partners who have demonstrated success with complex Data Center Transformation of enterprise workloads from private, public clouds and on-premise to Google Cloud. Stay tuned for the upcoming formal announcement. To understand more about the area that partners who achieve this specialization will support, please read this Data Center Transformation with Google white paper and sign up to learn more.
Quelle: Google Cloud Platform

Amazon Kendra führt die Unterstützung von 34 zusätzlichen Sprachen ein

Wir freuen uns, ankündigen zu können, dass Amazon Kendra nun 34 weitere Sprachen für die Keyword-basierte Suche in Dokumenten und FAQs einführt. Amazon Kendra ist ein intelligenter Suchservice für Unternehmen, der auf Machine Learning basiert. Kunden mit Inhalt in einer oder mehr der unterstützten Sprachen können nun Amazon Kendra verwenden, um Ihren Inhalt in der Muttersprache zu indexieren und zu durchsuchen.
Quelle: aws.amazon.com

Ankündigung von Fast File Mode für Amazon SageMaker

Amazon SageMaker unterstützt jetzt Fast File Mode für den Zugriff auf Daten in Trainingjobs. Dies ermöglicht High Performance-Datenzugriff indem direkt von Amazon S3 gestreamt wird, ohne Codeänderungen von dem bestehenden File Mode. Zum Beispiel kann das Trainieren eines K-Means Clustering Models auf einem 100 GB Datensatz 28 Minuten mit File Mode dauern, aber nur 5 Minuten mit Fast File Mode (82 % weniger).
Quelle: aws.amazon.com

Amazon QuickSight fügt Unterstützung von Pixel-Perfect Dashboards hinzu

Amazon QuickSight fügt jetzt die Unterstützung von Pixel-Perfect Dashboards mit dem neuen Freiform-Layout-Modus hinzu. Freiform-Layouts bieten Autoren eine präzise, Pixel-Level Kontrolle über die Größe und die Positionierung von visuellen Elementen auf QuickSight Dashboards, einschließlich der Unterstützung von überlappendem Inhalt. Zusätzlich können Autoren auch weitere Attribute für QuickSight Visuals im Freiform-Layout einstellen, einschließlich der Hintergrundfarbe, Transparenz, Kantenfarbe, Auswahlfarbe, sowie Sichtbarkeit der ladenden Animation, visuellen Kontexts und on-visual Menü. Das Freiform-Layout unterstützt auch das konditionelle Rendern von visuellen Elementen. Dies erlaubt es den Autoren Inhalte anzuzeigen oder auszublenden, basierend auf den QuickSight Parameterwerten. Dies ermöglicht die inhaltssensitive Anzeige von Text, Visuals und Bildern. Die Kombination dieser Optionen erlaubt es QuickSight Autoren ihre Kreativität zu zeigen, indem sie komplexe, interaktive Dashboards erstellen, die es Endnutzern erlauben, die Schlüsseleinsichten ihrer Daten zu verstehen.
Quelle: aws.amazon.com

AWS Lambda unterstützt jetzt die IAM-Authentifizierung für Amazon MSK als eine Ereignisquelle

AWS Lambda Funktionen, die von Amazon MSK Themen getriggert werden, können nun auf MSK Cluster zugreifen, die von IAM Access Control gesichert werden. Dies erfolgt zusätzlich zu SASL/SCRAM, das bereits von Lambda unterstützt wird. Zu Beginn können Kunden, die MSK als eine Ereignisquelle für ihre Lambda-Funktion auswählen, die Ausführungsrolle der Funktion konfigurieren, um es Lambda zu erlauben, sich mit ihren Clusters zu verbinden und von Ihren Themen zu lesen. Diese Funktion erfordert keine zusätzlichen Kosten und ist in allen AWS-Regionen verfügbar, in denen Amazon MSK als Ereignisquelle für AWS Lambda unterstützt wird.
Quelle: aws.amazon.com