Google Cloud announces new products, partners and programs to accelerate sustainable transformations

At Google, we believe that the path to a sustainable future begins with the small decisions we make every day. But industries, governments and corporations are challenged to make these decisions without the right data or insights to inform them. Even a small choice for an organization — which raw material to choose for a new product, when to proactively water crops ahead of a drought, which green funds to invest in — requires understanding unique and often complex information. Everyone wants to better understand how to become more sustainable, and take actions that have a meaningful impact. This year in the U.S., “how to reduce my carbon footprint” is being searched more than ever, and searches for “what is greenwashing” have increased five-fold over the past decade. Businesses and individuals alike are wondering how to turn sustainability ambition into action.At the Google Cloud Sustainability Summit, we’re excited to expand our sustainability solutions, and launch new datasets, tools and partnership programs that can help make the sustainable choice the easy choice, for everyone. Providing climate insights for every organizationLast week we announced two new climate insights offerings for the public sector to help institutions better understand the risks to infrastructure and natural resources due to climate change. These insights can help governments transform the way they manage physical and natural resources, helping them become more climate-resilient. Every industry is also experiencing a new era of sustainability-driven transformation. Like with any transformation, how, why and what you transform needs to be informed by accurate data about your current state, and insights into the potential impact of your decisions. To help deliver these insights to all our customers, we’re excited to share that Google Earth Engine on Google Cloud is now generally available. Google Earth Engine, which originally launched to scientists and NGOs in 2010, is a leading technology for planetary-scale environmental monitoring. Google Earth Engine combines data from hundreds of satellites and other sources with geospatial cloud computing resources to show timely, accurate, high-resolution and decision-relevant insights about the state of the world’s habitats and ecosystems — and how they’re changing over time. With one of the largest publicly available data catalogs and a global data archive that goes back 50 years and updates every 15 minutes, it’s possible to detect trends and understand correlations between human activities and environmental impact more precisely than ever before.With Google BigQuery, Google Maps Platform and Earth Engine, Google provides a powerful combination of geospatial cloud products and solutions to serve customers’ location-aware analysis needs regardless of the scale, complexity or format of the data. This will enable customers like Regrow, a startup in the field of regenerative agriculture, to more easily contribute to our shared challenges around climate change and tackle their unique business challenges involving geospatial data. “Regrow aims to make regenerative agriculture ubiquitous across the globe with an overall mission to mitigate climate change. That job has been made easier by Google Earth Engine, a platform which has allowed us to scale our technology and increase confidence in our data and reports,” said Juan Delard de Rigoulieres Mantelli, CTO, Regrow Sharing carbon-free energy insights with customersWhen we set out to use 24/7 carbon-free energy across our global operations by 2030, we knew that we would need better tools to track energy consumption and production. After all, you can’t manage what you don’t measure, and existing approaches to clean energy tracking were not designed to track hour-by-hour energy use. For the past 10 years, and together with our partners, we’ve collected insights and knowledge about how to progress our business towards a carbon-free future. We’re excited to start sharing 24/7 carbon-free energy insights with our Google Cloud customers through a new pilot program.With access to historical and real-time data, and at regional and hourly granularity, customers will see a clear picture of their electricity emissions profile. The pilot will enable customers to baseline their existing carbon-free energy (CFE) score and their scope 2 carbon footprint, help them forecast and plan for an optimized energy portfolio, and eventually execute on carbon-free energy transactions. Sharing knowledge like this will be key to helping everyone reach ambitious net-zero targets. For example, companies like Iron Mountain are joining the Carbon-free Energy Compact to accelerate decarbonization. “In 2021 we adopted the same 24/7 carbon-free energy goal pioneered by Google, and we recognize that the key to making progress towards this is access to good data and the ability to share that data with solution providers,” said Chris Pennington, Director of Energy and Sustainability at Iron Mountain. “Our early steps towards 24/7 have been enabled by key partners, including Google, who are providing us with the insights we need to evaluate our current performance and identify the next steps on our 24/7 journey. We place a great deal of value in collaboration to achieve better results, faster.”Expanding the Carbon Sense suiteIn the latest launch of the Carbon Sense suite of products we’re adding new data, expanding reporting coverage and making it easier for cloud architects and administrators to prioritize sustainability. Last year we announced Carbon Footprint for Google Cloud, which helps companies measure, report and reduce the gross carbon emissions of using Google Cloud services. We’re excited that early next year, we’ll launch Carbon Footprint for Google Workspace, providing similar reporting functionality for the emissions associated with products like Gmail, Meet, Docs and others. For sustainability teams that need to access the data in Carbon Footprint for reporting purposes, we’re also excited to launch a dedicated Identity and Access Management (IAM) role for Carbon Footprint. This will enable non-technical users of Google Cloud to easily access the emissions data and use it for tracking or in disclosures. You don’t need to be a cloud computing expert to view and export carbon emissions data associated with your cloud usage. Shopify’s sustainability and IT teams are closely aligned on their sustainability goals. “Shopify is on a mission to be the lowest carbon commerce platform for millions of entrepreneurs around the world,” says Stacy Kauk, Head of Sustainability at Shopify. “Tools like Carbon Footprint allow our engineers to understand the carbon impact of our technology decisions, and ensure we continue to architect a fast, resilient and low-carbon commerce solution.” You also don’t need to be a sustainability expert to make sustainable computing choices. For IT teams, and the administrators and cloud architects within them, we’re introducing low-carbon mode, which enables you to restrict your cloud resources to the low-carbon locations across our infrastructure using new low-carbon locations value groups. One of the most impactful actions you can take to reduce the gross emissions of using Google Cloud is to prioritize the locations with more carbon-free energy powering our infrastructure. Relative to other choices, you may be able to lower carbon emissions by 5-10x.One company that is putting emissions data in the hands of engineers is Uber. “At Uber we take sustainability seriously across the organization,” said Michael Sudakovich, Sustainable Engineering Lead and Senior Security Engineer at Uber. “From giving riders more sustainable choices to now giving our engineers data about their services’ cloud emissions and recommendations on emission reduction, with Carbon Footprint. Helping everyone make more sustainable choices is a priority for all of our teams as we work to make Uber a zero-emission platform in Canada, Europe, and the US by 2030, and worldwide by 2040.”Finally, Carbon Footprint is adding both scope 1 and 3 emissions to its reporting data. These are the apportioned amounts of Google’s scope 1 and 3 emissions, associated with a customers use of Google Cloud. You can read a detailed explanation of different scopes of emissions here, but for a quick breakdown: Scope 1 emissions are from sources an organization controls directly; Scope 2 are associated with the production of energy used by the organization (those were already in Carbon Footprint); and scope 3 are indirect emissions from up and down the value chain. Users will soon have a comprehensive view of the emissions associated with their Google Cloud usage. “At SAP, sustainability is core to our culture and operations and we ensure it is infused across the organization. Our SAP Cloud deployment strategy focuses on sustainable data centers to help achieve our commitment to net-zero by 2030. We are leveraging Carbon Footprint to understand, report, and reduce our gross carbon emissions associated with our Google Cloud usage. Google data centers help SAP, and our joint customers, make their entire value chains more sustainable,” said Tom Lee, Head of Multicloud Products and Services, SAP. Growing our sustainability ecosystemThe ecosystem of Google Cloud partners focused on sustainability continues to expand at a remarkable pace. The initiative, which brings technology providers together to help global businesses and governments accelerate sustainability programs, has added multiple new partners with innovative solutions. Today, we’re announcing two new programs to make it easier for partners to participate in the initiative, and for organizations to find the tools and expertise to help achieve their sustainability goalsFirst, Google Cloud Ready – Sustainability is a new validation program for partners with a business-ready solution available on Google Cloud that helps customers achieve sustainability goals. Partners with the GCR-Sustainability designation deliver solutions that reduce carbon emissions, increase the sustainability of value chains, help organizations process ESG data or help them identify climate risks for increased resilience. Carto, Climate Engine, NGIS, GEOTAB, Planet, Atlas AI, Electricity Map have already achieved their Google Cloud Ready – Sustainability designation. Many of these partners have expertise in next-generation technologies addressing ESG challenges such as geospatial or climate data and analytics. Providers like Dun & Bradstreet are excited about this new sustainability validation program.”As climate-related events increase in magnitude and frequency, it’s imperative that we incorporate climate data into business risk management across company locations and supply chains. Programs like Google Cloud Ready for Sustainability accelerate access to solutions that can drive ESG transformations, such as applying climate-based risk factors alongside traditional financial considerations,” said Rochelle March, Head of ESG Product at Dun & Bradstreet. Cloud Ready for Sustainability is part of Google Cloud Partner Advantage, designed to maximize our partners’ success across business models, customer requirements, success metrics, and strategic priorities. You can learn more about Google Cloud Ready for Sustainability and complete an application here.Second, we’re launching the Google Cloud Marketplace Sustainability Hub, providing customers with easy access to validated sustainability solutions. The Marketplace Sustainability Hub will showcase Google Cloud Ready for Sustainability solutions, which can be purchased directly from the site. Look for the Marketplace Sustainability Hub to launch soon.Don’t miss all the exciting content at the Sustainability SummitTomorrow, June 28, we’re bringing technologists, developers, business and sustainability leaders together to learn how the climate leaders of today are building for the future. You can catch all the talks, films, presentations and demos here, so don’t miss out!Related ArticleAnnouncing new tools to measure—and reduce—your environmental impactNow you can evaluate and reduce the carbon footprint of your cloud workloads, and evaluate your environmental impact with Earth Engine.Read Article
Quelle: Google Cloud Platform

Amazon Connect Wisdom ermöglicht Ihnen jetzt die Integration von Unterstützungsfähigkeiten für Kundendienstmitarbeiter in benutzerdefinierte Kundendienstmitarbeiteranwendungen

Amazon Connect Wisdom stellt jetzt eine JavaScript-Bibliothek (WisdomJS) zur Integration von Unterstützungsfähigkeiten für Kundendienstmitarbeiter in selbstentwickelte oder Drittanwendungen für Kundendienstmitarbeiter bereit. So können Sie die Produktivität von Kundendienstmitarbeitern und die Kundenzufriedenheit steigern, ohne Ihre Kundendienstmitarbeiter zu einer anderen Anwendung migrieren zu müssen. Amazon Connect Wisdom reduziert die Zeit, die Kundendienstmitarbeiter mit der Suche nach Antworten verbringen und ermöglicht die schnelle Beilegung von Kundenproblemen durch die Bereitstellung von einer Wissenssuche und Echtzeitempfehlungen, während Kundendienstmitarbeiter mit Kunden sprechen.
Quelle: aws.amazon.com

AWS kündigt Amazon CodeWhisperer (Vorversion) an

Amazon CodeWhisperer ist ein durch Machine Learning (ML) gestützter Service, der die Entwicklerproduktivität steigert, indem Code-Empfehlungen basierend auf Entwicklerkommentaren in natürlicher Sprache und ihrem Code in der integrierten Entwicklungsumgebung (IDE) generiert werden. Im Vorschauzeitraum ist CodeWhisperer für die Programmiersprachen Java, JavaScript und Python verfügbar. Der Service lässt sich mit mehreren IDEs integrieren, darunter JetBrains (IntelliJ, PyCharm und WebStorm), Visual Studio Code, AWS Cloud9 und die AWS Lambda-Konsole.
Quelle: aws.amazon.com

Twitter: gaining insights from Tweets with an API for Google Cloud

Editor’s note: Although Twitter has long been considered a treasure trove of data, the task of analyzing Tweets in order to understand what’s happening in the world, what people are talking about right now, and how this information can support business use cases has historically been highly technical and time-consuming. Not anymore. Twitter recently launched an API toolkit for Google Cloud which helps developers to harness insights from Tweets, at scale, within minutes. This blog is based on a conversation with the Twitter team who’ve made this possible. The authors would like to thank Prasanna Selvaraj and Nikki Golding from Twitter for contributions to this blog. Businesses and brands consistently monitor Twitter for a variety of reasons: from tracking the latest consumer trends and analyzing competitors, to staying ahead of breaking news and responding to customer service requests. With 229 million monetizable daily active users, it’s no wonder companies, small and large, consider Twitter a treasure trove of data with huge potential to support business intelligence. But language is complex, and the journey towards transforming social media conversations into insightful data involves first processing large amounts of Tweets by ways of organizing, sorting, and filtering them. Crucial to this process are Twitter APIs: a set of programmatic endpoints that allow developers to find, retrieve, and engage with real-time public conversations happening on the platform. In this blog, we learn from the Twitter Developer Platform Solutions Architecture team about the Twitter API toolkit for Google Cloud, a new framework for quickly ingesting, processing, and analyzing high volumes of Tweets to help developers harness the power of Twitter. Making it easier for developers to surface valuable insights from Tweets Two versions of the toolkit are currently available: The Twitter API Toolkit for Google Cloud Filtered Stream and the Twitter API Toolkit for Google Cloud Recent Search.The Twitter API for Google Cloud for Filtered Stream supports developers with a trend detection framework that can be installed on Google Cloud in 60 minutes or less. It automates the data pipeline process to ingest Tweets into Google Cloud, and offers visualization of trends in an easy-to-use dashboard that illustrates real-time trends for configured rules as they unfold on Twitter. This tool can be used to detect macro- and micro-level trends across domains and industry verticals, and can horizontally scale and process millions of Tweets per day. “Detecting trends from Twitter requires listening to real-time Twitter APIs and processing Tweets on the fly,” explains Prasanna Selvaraj, Solutions Architect at Twitter and author of this toolkit. “And while trend detection can be complex work, in order to categorize trends, tweet themes and topics must also be identified. This is another complex endeavor as it involves integrating with NER (Named Entity Recognition) and/or NLP (Natural Language Processing) services. This toolkit helps solve these challenges.”Meanwhile, the Twitter API for Google Cloud Recent Search returns Tweets from the last seven days that match a specific search query. “Anyone with 30 minutes to spare can learn the basics about this Twitter API and, as a side benefit, also learn about Google Cloud Analytics and the foundations of data science,” says Prasanna. The toolkits leverage Twitter’s new API v2 (Recent Search & Filtered Stream) and use BigQuery for tweet storage, Data Studio for business intelligence and visualizations, and App Engine for data pipeline on the Google Cloud Platform. “We needed a solution that is not only serverless but also can support multi-cardinality, because all Twitter APIs that return Tweets provide data encoded using JavaScript Object Notation (JSON). This has a complex structure, and we needed a database that can easily translate it into its own schema. BigQuery is the perfect solution for this,” says Prasanna. “Once in BigQuery, one can visualize that data in under 10 minutes with Data Studio, be it in a graphic, spreadsheet, or Tableau form. This eliminates friction in Twitter data API consumption and significantly improves the developer experience.” Accelerating time to value from 60 hours to 60 minutesHistorically, Twitter API developers have often grappled with processing, analyzing, and visualizing a higher volume of Tweets to derive insights from Twitter data. They’ve had to build data pipelines, select storage solutions, and choose analytics and visualization tools as the first step before they can start validating the value of Twitter data. “The whole process of choosing technologies and building data pipelines to look for insights that can support a business use case can take more than 60 hours of a developer’s time,” explains Prasanna. “And after investing that time in setting up the stack they still need to sort through the data to see if what they are looking for actually exists.”Now, the toolkit enables data processing automation at the click of a button because it provisions the underlying infrastructure it needs to work, such as BigQuery as a database and the compute layer with App Engine. This enables developers to install, configure, and visualize Tweets in a business intelligence tool using Data Studio in less than 60 minutes.“While we have partners who are very well equipped to connect, consume, store, and analyze data, we also collaborate with developers from organizations who don’t have a myriad of resources to work with. This toolkit is aimed at helping them to rapidly prototype and realize value from Tweets before making a commitment,” explains Nikki Golding, Head of Solutions Architecture at Twitter.Continuing to build what’s next for developersAs they collaborated with Google Cloud to bring the toolkit to life, the Twitter team started to think about what public datasets exist within the Google Cloud Platform and how they can complement some of the topics that Twitter has a lot of conversations about, from crypto to weather. “We thought, what are some interesting ways developers can access and leverage what both platforms have to offer?” shares Nikki. “Twitter data on its own has high value, but there’s also data that is resident in Google Cloud Platform that can further support users of the toolkit. The combination of Google Cloud Platform infrastructure and application as a service with Twitter’s data as a service is the vision we’re marching towards.”Next, the Twitter team aims to place these data analytics tools in the hands of any decision-maker, both in technical and non-technical teams. “To help brands visualize, slice, and dice data on their own, we’re looking at self-serve tools that are tailored to the non-technical person to democratize the value of data across organizations,” explains Nikki. “Google Cloud was the platform that allowed us to build the easiest low-code solution relative to others in the market so far, so our aim is to continue collaborating with Google Cloud to eventually launch a no-code solution that helps people to find the content and information they need without depending on developers. Watch this space!”Related ArticleSmooth sailing: The resource hierarchy for adopting Google Cloud BigQuery across TwitterTo provide one-to-one mapping from on-prem Hadoop to BigQuery, the Google Cloud and Twitter team created this resource hierarchy architec…Read Article
Quelle: Google Cloud Platform

Earn Google Cloud swag when you complete the #LearnToEarn challenge

The MLOps market is expected to grow to around $700m by 20251. With the Google Cloud Professional Data Engineer certification topping the list of highest paying IT certifications in 20212, there has never been a better time to grow your data and ML skills with Google Cloud. Introducing the Google Cloud #LearnToEarn challenge Starting today, you’re invited to join the data and ML #LearnToEarn challenge- a high-intensity workout for your brain.  Get the ML, data, and AI skills you need to drive speedy transformation in your current and future roles with no-cost access to over 50 hands-on labs on Google Cloud Skills Boost. Race the clock with players around the world, collect badges, and earn special swag! How to complete the #LearnToEarn challenge?The challenge will begin with a core data analyst learning track. Then each week you’ll get new tracks designed to help you explore a variety of career paths and skill sets. Keep an eye out for trivia and flash challenges too!  As you progress through the challenge and collect badges, you’ll qualify for rewards at each step of your journey. But time and supplies are limited – so join today and complete by July 19! What’s involved in the challenge? Labs range from introductory to expert level. You’ll get hands-on experience with cutting edge tech like Vertex AI and Looker, plus data differentiators like BigQuery, Tensorflow, integrations with Workspace, and AutoML Vision. The challenge starts with the basics, then gets gradually more complex as you reach each milestone. One lab takes anywhere from ten minutes to about an hour to complete. You do not have to finish all the labs at once – but do keep an eye on start and end dates. Ready to take on the challenge?Join the #LearnToEarn challengetoday!1. IDC, Market Analysis Perspective: Worldwide AI Life-Cycle Software, September 20212. Skillsoft Global Knowledge, 15 top-paying IT certifications list 2021, August 2021
Quelle: Google Cloud Platform