Every year in mid-October, we celebrate women tech pioneers on Ada Lovelace Day. In this post, we break down what four Red Hatters had to say about getting started in tech, practicing allyship and overcoming imposter syndrome.
Quelle: CloudForms
Quelle: Mirantis
At Mirantis, our strength and success comes from the talent and hard work of our employees, and we believe in recognizing and rewarding excellence among our staff. Recently, our HR team asked managers across the company to nominate candidates for our Outstanding Employee awards who not only embody Mirantis’ core values but also produce outstanding … Continued
Quelle: Mirantis
Expectations for both consumer and commercial products have changed. Consumers want products that evolve with their needs, adapt to their preferences, and stay up-to-date over time. Manufacturers, in turn, need to create products that provide engaging customer experiences not only to better compete in the marketplace, but also to provide new monetization opportunities. However, embedding intelligence into new and existing products is challenging. Updating hardware is costly, and existing connected products do not have the capability to add new features. Furthermore, manufacturers do not have sufficient customer insights due to product telemetry and customer data silos, and may lack the AI expertise to quickly develop and deploy these features. That’s why today we’re launching Intelligent Products Essentials, a solution that allows manufacturers to rapidly deliver products that adapt to their owners, update features over-the-air using AI at the edge, and provide customer insights using analytics in the cloud. The solution is designed to assist manufacturers in their product development journeys—whether developing a new product or enhancing existing ones. With Intelligent Products Essentials, manufacturers can:Personalize customer experiences: Provide a compelling ownership experience that evolves over the lifetime of the product. For example, a chatbot that contextualizes responses based on product status and customer profile.Manage and update products over-the-air: Deploy updates to products in the field, gather performance insights and evolve capabilities over time with monetization opportunities.Predict parts and service issues: Detect operating thresholds, anomalies and predict failures to proactively recommend service using AI, reducing warranty claims, decreasing parts shortages and increasing customer satisfaction.In order to help manufacturers quickly deploy these use cases and many more, Intelligent Products Essentials provides the following:Edge connections: Connect and ingest raw or time-series product telemetry from various device platforms utilizing IoT Core or Pub/Sub and enable deployment and management of firmware over-the-air and machine learning models with Vertex AI at the edge.Ownership App Template: Easily build connected product companion apps that work on smartphones, tablets, and computers. Use a pre-built API and accompanying sample app that can incorporate product or device registration, identity management, and provide application behavior analytics using Firebase.Product fleet management: Manage, update and analyze fleets of connected products via APIs, Google Kubernetes Engine, and Looker.AI services: Create new features or capabilities for your products using AI and machine learning products such as DialogFlow, Vision AI, AutoML, all from Vertex AI.Enterprise data integration: Integrate data sources such as Enterprise Asset Management (EAM), Enterprise Resource Planning (ERP), Customer Relationship Management (CRM) systems and others using Dataflow and BigQuery.Intelligent Products Essentials helps manufacturers build new features across consumer, industrial, enterprise, and transportation products. Manufacturers can implement the solution in-house, or work with one of our certified solution integration partners like Quantifi and Softserve. “The focus on intelligent products that Google Cloud is deploying provides a digital option for manufacturers and users. At its heart, systems like Intelligent Product Essentials are all about decision making. IDC sees faster and more effective decision-making as the fundamental reason for the drive to digitize products and processes. It’s how you can make faster and more effective decisions to meet heightened customer expectations, generate faster cash flow, and better revenue realization,” said Kevin Prouty, Group Vice President at IDC. “Digital offerings like Google’s Intelligent Product Essentials potentially go the last mile with the ability to connect the digital thread all the way through to the final user.”Customers adopting Intelligent Products EssentialsGE Appliances, a Haier company, are enhancing their appliances using new AI-powered intelligent features to enable:Intelligent cooking: Help cook the perfect meal to personal preferences, regardless of your expertise and abilities in the kitchen.Frictionless service: Build smart appliances that know when they need maintenance and make it simple to take action or schedule services.Integrated digital lifestyle: Make appliances useful at every step of the way by integrating them with digital lifestyle services – for example, automating appliance behaviors according to customer calendars, such as oven preheating or scheduling the dishwasher to run in the late evening.“Intelligent Products Essentials enhances our smart appliances ecosystem, offering richer consumer habit insights. This enables us to develop and offer new features and experiences to integrate with their digital lifestyle.“ —Shawn Stover, Vice-president Smart Home Solutions at GE Appliances.Serial 1, Powered by Harley-Davidson, is using Intelligent Product Essentials to manage and update its next generation eBicycles, and personalize its customers’ digital ownership experiences. “At Serial 1, we are dedicated to creating the easiest and most intuitive way to experience the fun, freedom, and adventure of riding a pedal-assist electric bicycle. Connectivity is a key component of delivering that mission, and working together to integrate Intelligent Product Essentials into our eBicycles will ensure that our customers enjoy the best possible user experience.”— Jason Huntsman, President, Serial 1. Magic Leap, an augmented reality pioneer with industry-leading hardware and software, is building field service solutions with Intelligent Products Essentials with the goal of connecting manufacturers, dealers, and customers to more proactive and intelligent service.“We look forward to using Intelligent Products Essentials to enable us to rapidly integrate manufacturers’ product data with dealer service partners into our field service solution. We’re excited to partner with Google Cloud as we continue to push the boundaries of physical interaction with the digital world.” — Walter Delph, Chief Business Officer, Magic LeapIntelligent Product Essentials is available today. To learn more, visit our website.Related ArticleWhat is Cloud IoT Core?Cloud IoT Core is a managed service to securely connect, manage, and ingest data from global device fleetsRead Article
Quelle: Google Cloud Platform
Virtually all companies face two broad challenges: to marshal data for smarter decision making, and to deliver more personalized and convenient experiences for customers. Artificial intelligence (AI) can help, but the path from AI investment to business outcome can be difficult to chart. To fast-track time to value, today, we’re pleased to announce new additions to two of our core AI-powered solutions:Contact Center AI (CCAI) Insights, now generally available, provides out-of-the-box and custom modeling techniques to make it easier for contact center teams to better understand customer interaction data. 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. Contract DocAI, now in preview, adds to Google Cloud’s Document AI solution, 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. It lets users extract insights from the unstructured text in contracts, helping to accelerate contract lifecycles and reduce the cost of contract processing. These announcements build on the momentum we’ve been seeing with our AI solutions in delivering business value to our customers. According to a 2020 commissioned study conducted by Forrester Consulting, “New Technology: The Projected Total Economic Impact™ Of Google Cloud Contact Center AI,” CCAI can help customers save millions by efficiently directing customers between self-service resources and human agents, reducing average call times, and decreasing manual data entry. Call center teams using Google Cloud’s CCAI for Chat have been able to manage up to 28% more conversations concurrently, for example, all while responding 15% faster to customer inquiries and increasing customer satisfaction by 10%. Likewise, leveraging DocAI, our customers are able to improve document processing and better serve customers—such as mortgage company Mr. Cooper, which increased the efficiency of mortgage document operations by 400%, improving the experience for both team members and their more than 3 million customers.With today’s announcements, we are pleased to continue on this journey of meeting customers where they are and putting ready-to-use AI solutions directly in their hands, to fast-track the path from AI investment to transformative business outcomes.Deepen customer understanding with CCAI InsightsCCAI Insights helps teams offer better customer experiences by using AI to mine raw contact center interaction data for actionable information, regardless of whether that data originated with a virtual or human agent. It provides a number of out-of-the-box analytics on customer conversations, including:Smart Highlighters: Automatically highlights important conversation moments, such as when an agent authenticates, a customer confirms their issue has been resolved, or an agent puts a customer on hold.Cloud Natural Language Processing (NLP) Integration: New Customer & Agent Sentiment functions within CCAI score each portion of a conversation so teams can understand any positive or negative sentiment; and Entity Extraction identifies and labels various entities within a conversation by types such as date, person, contact information, organization, location, events, products, and media, so teams can report on data to improve script or train agents to resolve resolution rates. Beyond out-of-the-box capabilities, CCAI Insights also helps teams categorize their conversations with Custom Highlighters — Defines rules, keywords, and natural language training phrases to help teams understand things like when customers mention a competitor or a recent promotional offering. Topic Modeling— Leverages advanced NLP technologies like BERT so teams can create an unsupervised model of their data to define the taxonomy of conversation drivers.Reviewing trends, searching, and filtering data to find conversations in CCAI Insights consoleAs part of Google Cloud’s CCAI solution, CCAI Insights also seamlessly hands off calls and chats handled by Dialogflow (CX or ES) and Agent Assist, letting it pull in advanced data from either. CCAI Insights also brings together the best of Google with native integrations to BigQuery and Looker, so customers can create more powerful and accurate data visualizations. TELUS, a Canadian communications technology company, sees great potential for CCAI Insights to empower its analyst teams to provide value back to the business.“With CCAI Insights, TELUS is looking at processing 20 million voice calls for analytics. This will help agents resolve customer inquiries faster and with less effort, which will lead to significant savings via agent effort reduction in the first year of production. Our goal is also to save our customers tens of thousands of hours by using AI to guide them to the channel that best supports their needs and allows for quicker resolutions such as self-serve and digital applications, making it easier to perform transactions on-line. This leads to customers spending reduced time with customer care and improved customer experiences.” —Mike Kellner, Director, AI Data & Analytics, TELUS Accelerate contract lifecycle management with Contract DocAIAs part of Google Cloud’s DocAI solutions, Contract DocAI leverages a variety of AI technologies — including NLP, knowledge graph technology, and optical character recognition (OCR) — to accurately parse contracts at scale for key terms, such as those involving start and end dates, renewal conditions, parties involved, contract type, venue, or service level agreements. By automatically discerning important terms and the relationships among them, Contract DocAI also helps human reviewers work more efficiently, leading to faster and less expensive contract processing, while providing new semantic lenses to categorize and analyze contract content. Ironclad, a leading provider of contract management services, was among the earlier adopters of Contract DocAI.“With Contract DocAI, we built Smart Import for existing contracts, which has helped customers gain more access, visibility, and insights for all their contracts. Our customers can now upload contracts 75% faster while saving up to 40% on costs. Smart Import also unlocks contract data that was previously inaccessible and enables other parts of the business to make better, faster decisions. With the power of Google Cloud’s Contract DocAI, we’ve been able to focus on unlocking greater value for our customer, instead of having to spend time, effort, and money pursuing AI innovation ourselves.”—Cai GoGwilt, CTO, Ironclad Accelerate business results with AIAll of these new additions will help transform businesses by making the power of AI more accessible and more focused on achieving business outcomes. To learn more about CCAI Insights, click here, and to learn more about Contract DocAI, click here.For an even deeper dive, don’t miss these sessions at Google Cloud Next: “Using CCAI Insights to better understand your customers,” in which Dinesh Mahtani, Director of Data Analytics at TELUS, discusses how to leverage insights from customer interaction data to deliver better products and service; and “Google Cloud ad Ironclad partner to accelerate document workflows,” in which Ironclad CTO Cai GoGwilt explores how AI can turn contracting into a business hub instead of a process blocker.Related ArticleSopra Steria uses Google Cloud, Cisco, and ACTIVEO to power new generation of Virtual AgentsEuropean technology consulting firm, Sopra Steria uses Google Cloud, Cisco and Activio for virtual agentsRead Article
Quelle: Google Cloud Platform
Now more than ever, organizations are looking to accelerate their cloud adoption. They want easier development, faster innovation, and efficient scale, all while simultaneously reducing their technology risk. However, some of their workloads cannot move to the public cloud entirely or right away, due to factors such as industry or region-specific compliance and data sovereignty needs, low latency or local data-processing requirements, or because they need to run close to other services.To ensure these workloads can still take advantage of what the cloud has to offer, today at Google Cloud Next ’21 we are announcing Google Distributed Cloud, a portfolio of solutions consisting of hardware and software that extend our infrastructure to the edge and into your data centers. Depending on your organization’s needs, you can run Google Distributed Cloud across multiple locations, including:Google’s network edge – Allowing customers to leverage over 140+ Google network edge locations around the world.Operator edge – Enabling customers to take advantage of an operator’s edge network and benefit from 5G/LTE services offered by our leading communication service provider (CSP) partners. The operator edge is optimized to support low-latency use cases, running edge applications with stringent latency and bandwidth requirements. Customer edge – Supporting customer-owned edge or remote locations such as retail stores, factory floors, or branch offices, which require localized compute and processing directly in the edge locations. Customer data centers – Supporting customer-owned data centers and colocation facilities to address strict data security and privacy requirements, and to modernize on-premises deployments while meeting regulatory compliance.Google Distributed Cloud is built on Anthos, an open-source-based platform that unifies the management of infrastructure and applications across on-premises, edge, and in multiple public clouds, all while offering consistent operation at scale. Google Distributed Cloud taps into our planet-scale infrastructure that delivers the highest levels of performance, availability, and security, while Anthos running on Google-managed hardware at the customer or edge location provides a services platform on which to run applications securely and remotely. Using Google Distributed Cloud, customers can migrate or modernize applications and process data locally with Google Cloud services, including databases, machine learning, data analytics and container management. Customers can also leverage third-party services from leading vendors in their own dedicated environment. At launch, a diverse portfolio of partners, including Cisco, Dell, HPE, and NetApp, will support the service.Our first products under this portfolio include Google Distributed Cloud Edge and Google Distributed Cloud Hosted.Google Distributed Cloud Edge Available in preview today, Google Distributed Cloud Edge is a fully managed product that brings Google Cloud’s infrastructure and services closer to where your data is being generated and consumed. Google Distributed Cloud Edge empowers you to run 5G Core and radio access network (RAN) functions at the edge, alongside enterprise applications, to support mission-critical use cases such as computer vision and Google AI edge inferencing. Google Distributed Cloud Edge is ideal for running local data processing, low-latency edge compute workloads, modernizing on-premises environments, and deploying private 5G/LTE solutions across a variety of industries. With Google Distributed Cloud Edge, retailers can provision applications at a Google network location, which allows in-store teams to focus on customers rather than sorting out IT. Manufacturers can save time and money by using video for visual inspections on factory floors, and CSPs can offer high-speed bandwidth with private 5G and localized compute to their customers. Google Distributed Cloud Edge builds on our telecommunication solutions and empowers CSPs to run workloads on Intel and NVIDIA technologies to deliver new 5G and edge use cases. Google Distributed Cloud Edge also allows ISV and network functions partners, application developers, and data scientists to deliver innovation and scale quickly and efficiently.“CSPs are looking for faster ways to deploy cloud-native network architecture that can bring flexibility and agility to their edge solutions” said Dan Rodriguez, VP & GM Network Platforms Group at Intel, “Google Distributed Cloud Edge will help accelerate the delivery of 5G Telco Cloud and services at the edge leveraging Intel® Smart Edge Open, Intel’s FlexRAN® reference software, and Intel® Xeon® Scalable processors.”“We are excited to partner with Google Cloud on Google Distributed Cloud Edge,” said Ronnie Vasishta, Senior Vice President of Telecom at NVIDIA. “This builds on our continued partnership to deliver GPU-accelerated computing and networking solutions that help the telecommunications industry and enterprises harness data and AI-on-5G or AI at the edge to unlock new business opportunities.”We are also committed to delivering cloud capabilities to our partners’ 5G networks and beyond. Google Distributed Cloud Edge furthers our previously announced global, strategic partnerships with both Ericssonand Nokia to bring new solutions built on a cloud-native 5G core and develop the network edge as a business services platform for enterprises.“This announcement builds on our on-going partnership with Google Cloud to develop Nokia cloud-native 5G core and Nokia radio solutions for Google’s edge computing platform. By extending this relationship into Google Distributed Cloud Edge, we will increase customer choice and flexibility, ultimately helping our global customer base with multiple cloud-based solutions to deliver 5G services on the network edge,” said Nishant Batra, Nokia Chief Strategy and Technology Officer.In addition to network modernization, we are focused on building an edge ecosystem to help CSPs move beyond connectivity services and monetize the edge. Together, 5G and edge provide a powerful combination to help enterprises continue to digitize their business while leveraging third-party services from our trusted partner ecosystem in their dedicated environment. “The announcement of Google Distributed Cloud supports Ericsson’s vision of the network becoming a platform of innovation, enabling companies across the ecosystem to deliver the applications of the future the way they need to, unlocking the full potential of 5G and edge,” said Rishi Bhaskar, Vice President and Head of Hyperscale Cloud Providers for Ericsson North America.Google Distributed Cloud HostedDesigned to run sensitive workloads, Google Distributed Cloud Hosted builds on the digital sovereignty vision we outlined last year, and supports public-sector customers and commercial entities that have strict data residency, security or privacy requirements. Google Distributed Cloud Hosted provides you with a safe and secure way to modernize an on-premises deployment, regardless of whether you do it yourself or choose to host through a designated, trusted partner. Google Distributed Cloud Hosted does not require connectivity to Google Cloud at any time to manage infrastructure, services, APIs, or tooling, and uses a local control plane provided by Anthos for operations. Google Distributed Cloud Hosted will be available in preview in the first half of 2022. To address the needs of customers and governments across Europe, we are also developing trusted partner offerings as part of our ‘Cloud. On Europe’s Terms’ initiative. These partners will provide governments and enterprises the highest levels of digital sovereignty, without compromising on functionality or pace of innovation. Each of these partnerships leverage different technologies. Last week, we announced a “Trusted Cloud” partnership with Thales. On Google Distributed Cloud Hosted, two of our initial partnerships are with T-Systems in Germany and OVHcloud in France. T-Systems is building a sovereign cloud offering in partnership with Google Cloud for private and public-sector organizations based in Germany, which will become available in mid-2022. “T-Systems and Google Cloud share a common goal of developing cloud-based solutions for European governments and enterprises that meet their digital sovereignty, sustainability and economic objectives,” said Frank Strecker, Senior Vice President Global Cloud Computing & Big Data and Edge, T-Systems. “Together we will offer a sovereign cloud solution for customers in Germany that gives them peace of mind to meet their rapidly evolving data, operational, and software sovereignty requirements.”We’ve also announced a strategic partnership with OVHcloud to accelerate French and European organizations’ ability to digitally transform and reimagine their businesses.“We have seen how Google Cloud listens to their customers, partners and policymakers in Europe and heard the need for even greater control and autonomy,” said Sylvain Rouri, CSO at OVHcloud. “Together, we are building a sovereign cloud services portfolio that provides clients with full control over their data, software and operations whilst leveraging the full power of Google Cloud and meeting the requirements of the General Data Protection Regulation.”A cloud infrastructure built for your evolving needsIn addition to building a true distributed cloud, our work on core Google Cloud infrastructure (compute, network, and storage capabilities) continues unabated. This year, Google Cloud expanded its global infrastructure by opening four new regions in Warsaw, Delhi, Melbourne, and Toronto. We now have 28 regions around the world, making us the largest and lowest latency network among hyperscale cloud providers. We also announced future availability in Berlin-Brandenburg; Columbus, OH; Israel; Madrid; Milan; Paris; Santiago; Saudi Arabia; and Turin. Combined with over 140 network-edge locations worldwide, these Google Cloud regions deliver the services, capacity, and performance you need to ensure a terrific experience for your users.We also continued to advance our network by investing in subsea cables that improve access to Google services. With the addition of Firmina, which will connect the East Coast of the United States to three locations in South America, we now have investments in 19 subsea cables. All of this allows us to provide transformative infrastructure to businesses that build on Google Cloud.Service-centric networking As our global network increases in reach, we’re building out service-centric networking capabilities to simplify everything from connectivity to observability. For organizations with interconnects, VPNs, and SD-WANs, Networking Connectivity Center provides a centralized management model, with monitoring and visualization through our Network Intelligence Center. And, with Private Service Connect, partners and customers such as Bloomberg, MongoDB, and Elastic are now able to easily connect services without having to configure the underlying network. Enterprises with workloads both on-premises and in the cloud can leverage hybrid load balancing to securely optimize application delivery. To help you detect and prevent malicious bot attacks, we recently integrated reCAPTCHA Enterprise with Cloud Amor. Together with Cloud IDS, the Google network edge is fortified with best-in-class security. Industry-leading computeOne of the reasons people choose Google Cloud is for access to the latest high-performance compute services. For example, Compute Engine can be configured with Tau VMs, which are optimized for scale-out workloads. Tau VMs offer 42% higher price-performance compared to general-purpose virtual machines from any of the leading public cloud vendors. Today, we are also excited to announce our new Compute Engine Spot VMs in Preview. Spot VMs offer customers better guaranteed minimum savings and more pricing predictability than spot instances from any other leading cloud provider. With fewer restrictions on excess compute capacity, Spot VMs are the future of preemptible instances for Google Cloud. Both Tau VMs and Spot VMs are supported with Google Kubernetes Engine (GKE). Reliable and secure storage Over the last year, we’ve been focused on making our storage easier to use, more performant, and the best choice for enterprises. We recently announced extensions to our popular Cloud Storage offering, and introduced two new services: Filestore Enterprise and Backup for GKE. Together, these new capabilities make it easier for you to protect your data out-of-the box across a wide variety of applications and use cases. For a deeper dive into these storage announcements, watch our on-demand webinar, listen to our developer podcast, and be sure to attend our storage-focused sessions at NEXT ’21. Delivering a flexible cloud strategyOur goal is to make your journey to the cloud easy. With transformative capabilities to help you innovate faster and save money, we follow an open approach to give you the greatest flexibility and choice as your organization evolves. Join us at the “Driving Transformation with Google Distributed Cloud” spotlight session and watch the interactive live demo of Google’s latest investments in application modernization and infrastructure in a distributed cloud environment.
Quelle: Google Cloud Platform
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
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
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
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
