Mai 2020 - Seite 14 von 43 - Cloud Computing Köln

Today, Global Accessibility Awareness Day, raises awareness around digital access and inclusion and improving the web experience for everyone. This year, WebAIM analyzed one million homepages for accessibility issues and found that 98% of websites had at least one WCAG (Web Content Accessibility Guidelines) failure on their homepage, such as low-contrast text, missing image alt text, and empty links. These types of accessibility barriers make it difficult or impossible for some visitors — people who are blind, deaf and hard of hearing, and disabled, for example — to use your site.

We encourage you to audit your site to ensure it’s accessible for all readers; the WAVE Web Accessibility Evaluation Tool can identify various errors on your site in seconds. Here are some web accessibility tips to get you started, and be sure to explore the guidelines and resources on the W3C Web Accessibility Initiative (WAI) website for deeper learning.

Use an accessibility-ready theme

You can choose from among a variety of designs for your site, but some themes have features that add complexity, making it harder for disabled people or visitors using screen readers to access your content.

When choosing a theme, consider an accessibility-ready design, like Balasana, a free minimal theme for your business website; or Mayland, a free visual theme that’s great for photographers and storytellers. These themes have been checked by the Theme Review Team and pass basic accessibility requirements.

Display your site title and tagline

Many themes allow you to upload a custom header image, which is a visual way to brand your site, display the title of your blog, or promote the name of your business. But some themes may not support alternative text, or the written copy that appears in place of an image on a page if the image fails to load on your visitor’s screen.

Instead of conveying your site title and tagline within a header image, display your site title and tagline text. Go to Manage → Settings, and at the top under Site profile, fill out your Site title and Site tagline. Then, head to Design → Customize, go to Site Identity, and check the box next to Display Site Title and Tagline.

Structure your pages and posts with appropriate headings

Add headings with the Heading Block to organize pages and posts and make it easier for readers to follow your content, which is especially important for longer pages and posts. Click on the “i” icon in the top toolbar of the block editor to view any errors and incorrect heading sizes.

Select fonts and colors for legibility

Fonts and colors are essential components on your site, adding personality and style and strengthening your visual identity online. Avoid font styles and sizes and color palettes that make your site difficult to read, and pay attention to contrast, or the difference between the darkness of your text and the lightness of your background.

The block editor will display an error message in Color settings when it detects poor color contrast in the specific block you’re working on.

Clearly describe your links

When linking to another page or post on the web, make your linked text descriptive. For example, “click here” is not as effective as “learn how to apply to my writing workshop.”

Include captions with your images

When adding an image with the Image Block, add a description of the image in the caption underneath it. While captions are optional, they improve the experience for all readers by providing more context.

Add alt text to your images

Alt text is essential for people who are blind or use screen readers (they can hear alt text read aloud), or people who have disabled images for speed or bandwidth reasons. Alt text is also important for your site’s SEO — it helps search engines understand what your site content is about.

When adding an image with the Image Block, go to the block’s settings on the right and add the alt text in the box under Image settings.

Learn more about W3C’s image accessibility guidelines.

Create easily clickable CTA areas

With the Buttons Block, you can add call-to-action buttons to your pages and posts quickly. For those of you who design and embed your own buttons with Image Widgets, make buttons, icons, and other CTA elements with wide-enough areas that are easy to click or tap from different devices.

You can apply this tip to text links as well. Tapping a linked hashtag or asterisk within a sentence, for example — especially on a small screen — may be difficult for some people.

Include captions or transcripts for multimedia content

If your site includes video content, consider adding captions or including transcripts (documenting speech, sounds, as well as actions seen on-screen). Podcast transcripts are also incredibly helpful; here’s a transcript of a recent Distributed episode with neuroscientist Adam Gazzaley.

It’s best if video and audio content does not auto-play, but if that’s not possible, options to pause or adjust the volume should be obvious on the page.

Never stop learning and improving

This list is just an introduction to a few best practices and guidelines! If you’re interested in learning more, explore the resources on the W3C Web Accessibility Initiative (WAI) website. You can also explore ways to get involved in improving the accessibility of WordPress.

Learn more about Global Accessibility Awareness Day and participate in online events, webinars, and podcasts.
Quelle: RedHat Stack

22. Mai 2020

da Agency

Zero-trust remote admin access for Windows VMs on Compute Engine

It’s more important than ever for IT administrators to be able to securely access resources from wherever they are. Exposing VM instances to the public internet can be risky, potentially giving bad actors a direct access path to your network. But solutions such as VPN tunnels or jump (bastion) hosts to access these systems can be cumbersome and may not provide the precise access control admin tasks demand.To help solve this dilemma, we’re introducing a new open-source tool to help Windows users and administrators to access and manage Windows VMs running in Compute Engine—conveniently and securely. IAP Desktop is a Windows application that allows you to manage multiple Remote Desktop Protocol (RDP) connections to Windows VM instances running on Google Cloud. IAP Desktop, builds on our existing Identity-Aware Proxy service, which can help you control access to your applications and VMs running on Google Cloud. IAP works by verifying a user’s identity and the context of a request to determine if that user should be allowed to access an application or a VM. All RDP connections are automatically encrypted and tunneled via IAP so you can access VM instances that don’t expose RDP publicly or even have a public IP address. Specifically, IAP Desktop uses IAP TCP forwarding to tunnel RDP connections. But IAP Desktop is more than just a Remote Desktop client: It also provides an overview of and quick access to all your VM instances across your Google Cloud projects. You can also access common functions, like generating Windows credentials or viewing logs, with a single click.You can download IAP Desktop on our GitHub page. Give it a try, we hope it makes it easier to manage your Windows instances on Google Cloud. And, if you’d like to implement simple, secure remote access to applications, check out our BeyondCorp remote access offering.
Quelle: Google Cloud Platform

22. Mai 2020

da Agency

Burst data lake processing to Dataproc using on-prem Hadoop data

Many companies have data stored in a Hadoop Distributed File System (HDFS) cluster in their on-premises environment. As the amount of stored data grows, and the number of workloads coming in from analytics frameworks like Apache Spark, Presto, Apache Hive, and more grow, this type of fixed on-premises infrastructure becomes costly and causes latency in data processing jobs. One method to tackle this problem is to use Alluxio, an open source data orchestration platform for analytics and AI applications, to “burst” workloads to Dataproc, Google Cloud’s managed service for Hadoop, Spark, and other clusters. You can enable high performance for data analytics across a hybrid environment by mounting on-premises data sources into Alluxio and save on costs in your private data center without copying data. Zero-copy hybrid bursting to DataprocAlluxio integrates with both your private computing environment on-premises and with Google Cloud. Workloads can burst to Google Cloud on-demand without moving data between computing environments first. This allows for high data analytics performance with low I/O overhead.For example, you may use a compute framework like Spark or Presto for your on-prem data stored in HDFS. By bursting that data to Google Cloud with Alluxio, you’re able run the related analytics in the cloud on-demand, without the time and resource-intensive process of migrating large amounts of data to the cloud. Even then, after data is transferred to Cloud Storage, it is hard to access near real-time data as on-prem data pipelines and source systems change and evolve. With a data orchestration platform, you can selectively migrate data on-demand and seamlessly make updated data accessible in the cloud without the need to persist all data to Cloud Storage.We hear from customers that they find this especially helpful for enterprises in financial service, healthcare, and retail as they want to store and mask sensitive data on-prem and burst masked data and machine learning or ETL jobs to Google Cloud. A typical architecture may look something like this:How a large national retailer uses burst processingA leading retailer that balances physical and digital stores moved to a zero-copy hybrid solution powered with Alluxio and Google Cloud as their on-premises data center became increasingly overloaded with the amount of data coming in. They wanted to take advantage of Google Cloud’s scalability, but couldn’t persist data into the cloud due to security concerns. So they added Alluxio to burst their Presto workloads to Google Cloud to query large datasets that before wouldn’t have been able to move to the cloud. Before Alluxio, they manually copied large amounts of data at times three to four more than required for the jobs to run. Once those jobs completed, they had to delete that data, which made use of compute in Google Cloud very inefficient. By moving to Alluxio, they saw a vast improvement in query performance overall and were able to take advantage of the scalability and flexibility of Google Cloud. Here’s how their architecture looks:Using a zero-copy hybrid burst approach for better costs and performanceWe see some common challenges that users face with on-prem Hadoop or other big data workloads:Hadoop clusters are running beyond 100% CPU capacityHadoop clusters can’t be expanded due to high load on the master NameNode Compute capacity is not enough to offer the desired service-level agreement (SLA) to ad-hoc business users, and there’s no separation between SLA and non-SLA workloadsInfrequent and bursty analytics, such as a compute-intensive job for generating monthly compliance reports, compete for scarce resourcesCost containment is a problem at scaleOperational costs of self-maintained infrastructure adds to the total cost of ownership, with indirect costs related to salaries of the IT staffUsing the cloud to meet these challenges allows for independent scaling and on-demand provisioning of both compute and storage, the flexibility to use multiple compute engines (the right tool for the job), and reduced overload on existing infrastructure by moving ephemeral workloads.To learn more about the zero-copy hybrid burst solution, register for the upcoming tech talkhosted by Alluxio and the Google Cloud Dataproc team on Thursday, May 28.
Quelle: Google Cloud Platform

22. Mai 2020

da Agency

Cloud Functions, meet VPC functionality

You probably don’t think of advanced VPC networking features and developer-friendly serverless platforms as things that typically play well together, but increasing numbers of organizations want to use serverless platforms in more traditional IT environments. Here at Google Cloud, we want you to have your serverless cake and eat it too, so are announcing support for new networking controls for Google Cloud Functions, including ingress settings and VPC service controls. Serverless VPC Access has been generally available since December, 2019, allowing Cloud Functions to reach into the private IP space of VPC networks. This allows you to route all or internal-only egress traffic to the connected VPC. Today we are extending that with the support of ingress settings, which allows you to control what traffic reaches your Cloud Functions, allowing you to run “private” Cloud Functions. We also support integrating Cloud Functions with VPC Service Controls and organization policies to control the movement of your company’s data.Click to enlargeIngress settings and VPC Service ControlsWith the release of Serverless VPC Access, we provided an egress path from functions to services running in a VPC (e.g., stateful services running on VMs without public IP addresses or services such as Memorystore). Now with support for ingress settings, you have more control over which network requests can reach your functions.By default, ingress settings allow traffic to a function from any VPC in your project, or from any internet source. Per function, you can now set ingress to `internal-only`, which excludes any network requests not originating from internal sources inside the same project.If you want to be more prescriptive about what traffic can reach your functions, you can set up a more explicit perimeter using VPC Service Controls. You can then use ingress and egress settings and the new Organization Policy service to prevent data exfiltration.You can then combine these network settings in various ways to address a variety of use cases:Create a function that can only be called within your VPC network – One of the key uses for network settings is to create a function that can be invoked only by clients within your given project or VPC network, for instance invoking your function from a Compute Engine VM within your VPC network. Here’s an example of how to create such a function.Configure a function to connect to private services on a VPC network – Some services are not built to be hardened to the public internet, and rely on network security to control access. You may want your function to be able to reach a service running in your VPC on your own VM or cluster, or a managed service such as Cloud Memorystore. See this example of connecting functions to Redis for rate-limiting.Manage function egress with VPC firewalls and NAT – You can use network egress settings to enforce the same security policies and firewall rules applied to the compute instances in the VPC — simply route all traffic through the VPC. If you want all traffic from functions to appear to come from a specific stable IP address, this traffic routing directive can be combined with Cloud NAT.Create a security perimeter to protect from Data Exfiltration – Prevent functions from accidentally sending any data to unwanted destinations.Organization policiesThe above use cases show there are many ways to use specific combinations of ingress and egress settings. But for some use cases, such as to protect from data exfiltration, it is important to reduce or remove human error that comes from repeatedly and manually applying resource configurations—especially when your organization already has a defined standard. To address this, Cloud Functions now supports organization policies, which can be applied to Cloud Functions network settings. This lets organizations set strict security policies with proper separation of concerns, while allowing developers to use serverless infrastructure and the flexibility and rapid development it provides.VPC Connector and Service Controls in actionMultinational insurance provider AXA is an early user of Cloud Functions’ new VPC Connector and VPC Service Controls capabilities, which have emerged as a very useful enabler for creating secure serverless services. Working with Google Cloud Premier Partner Wabion, AXA is using these capabilities for two very important requirements:VPC-SC for Cloud Functions protects data streams used in GCP against data exfiltration by restricting access to perimeter-secured services only. “Using this functionality, we can ensure that sensitive data cannot be moved to unauthorized services, platforms or GCP projects,” says Felix Jost, GCP Engineering Lead, AXA. “With appropriate organizational policies configured, the policies can be managed on the whole AXA GCP organization to ensure security.”VPC Connector for Cloud Functions enables internal connection to on-premises services. “This allows building hybrid scenarios on serveless services to ensure maximum flexibility and scalability and seamless integration with other automated flows,” Jost says.We continue to see customers adopt serverless compute platforms like Cloud Functions, and we’re committed to ensuring the serverless workloads you write are first-class citizens of your production Google Cloud environment. To get started with VPC service controls on Cloud Functions please checkout the getting started guide.
Quelle: Google Cloud Platform

22. Mai 2020

da Agency

Azure Stack updates and how it enables intelligence at the edge

Today, more than ever before, it is essential that our colleagues, customers, and partners be able to react quickly and confidently to rapidly changing circumstances. The ability to ingest, analyze, and act on incoming information requires that an organization have a robust, scalable technology infrastructure.

Such an infrastructure is not limited to one place or one platform. Modernized, and cloud-native applications can span across on-premises, multi-cloud, and edge environments. Creating and managing this vast technology estate requires a modern paradigm that enables seamless experiences, no matter where the workload exists. The mindset of combining on-premises and cloud environments into a hybrid cloud has become a force in today’s industry and has been a core part of our strategy since the inception of Azure. In the face of the unprecedented transitions in today’s world, our mission remains the same: To enable our customers and partners to transform their organizations to achieve more, wherever they are.

Healthcare and Azure Stack

The healthcare industry has recently been confronted with incredible demands. Healthcare providers must balance the need to efficiently treat many new patients, and work with sensitive data to unlock possible treatments. These missions require that healthcare organizations practice diligent and careful stewardship to protect private patient and clinical data. The Azure Stack family brings intelligent, highly secure, real-time analytics using AI to any on-premises infrastructure, empowering healthcare providers to find answers while being good data stewards. We are working to bring solutions that enable digital pathology, medical imaging, and research and genomics at the edge, lowering latency and increasing throughput. The Azure hybrid platform equips healthcare systems to find previously hidden innovations that can improve operations – for example in emergency room wait times, operating room efficiencies, bed utilization, and patient-flow bottlenecks.

Here is a recent example of how Olympus is finding new ways to innovate in the operating room providing room status in real-time using Azure Stack Edge to enable edge computing using Azure AI and Azure Machine Learning.

Edge and hybrid computing expand the reach of cloud-native technologies to locations around the world. In the context of healthcare, the largest hospitals to the smallest clinics can be digitally transformed with edge computing. More broadly, there are often cases where edge compute needs to run in harsh environments, such as a field hospitals, rural clinics, disaster areas, factory floors, or retail stores. Our Azure Stack Rugged series, currently in preview, brings the power of the intelligent cloud to these demanding environments. The Rugged series includes innovations such as a battery-powered form factor that can be carried in a backpack into many unconventional situations, including search and rescue operations.

We’d like to share some of the efforts we’re taking on to enable healthcare workers to be successful in uncertain times.

Healthcare providers depend on the ability to share, with patient permission, health information within their systems, and between providers. The Fast Healthcare Interoperability Resources (FHIR) project provides a platform for this data interchange. Last year, we released a software as a solution (SaaS) version of the FHIR platform in Azure. This robust platform is now available on Azure Stack Hub and Azure Stack Edge, allowing healthcare providers to quickly connect existing on-premises data sources, such as electronic health record systems or research databases, and enable the rapid exchange of data in between legacy and modern implementations of mobile and web development as well as between departments. Most importantly, FHIR on Azure Stack can simplify data ingestion and accelerate development with analytics and machine learning tools.

Researchers are constantly searching for answers and are increasingly turning to machine learning to crawl through mountains of data and visualize the results. We’re multiplying the machine learning inferencing and training power available to the Azure Stack family, working closely with AMD and NVIDIA to make GPUs widely available across Azure Stack. These new GPUs will enable a large number of AI/ML scenarios that work with on-premises data, as well as remote work with graphically intense workloads that require low latency and are data sensitive.

An ever-expanding ecosystem is what completes our platforms. We’re collaborating with our independent software vendor (ISV) partners to create solutions that bring their intelligence and power to the edge. The Aware Group, which builds IoT Edge modules that use AI to detect anomalies and perform noise classification, is creating a set of solutions tailored to several different industries. Avanade, a cloud services partner, is offering customers a way to easily deploy and manage Azure Stack Hub in locations that do not have a datacenter. This offering is based on HPE’s Edgeline EL8000, a small form factor server that does not require external cooling, making it ideal for unconventional locations.

Next steps with Azure Stack

Whether your goal is to reduce costs, comply with regulatory and data sovereignty requirements, enable low latency and edge workloads, or modernize your datacenter and applications, Azure Stack is here to enable your hybrid cloud strategy. For more details on how Azure Stack can help your organization, we invite you to watch this webinar.
Quelle: Azure

22. Mai 2020

da Agency

Azure Synapse Analytics: Insights for all

In November we announced Azure Synapse Analytics—a limitless analytics service that brings together enterprise data warehousing and big data analytics. Despite the massive disruptions occurring throughout industries in recent months, we continue to see a high level of excitement and enthusiasm for joining the private preview to use analytics in these times of crisis. Thank you to those who participated in the private preview for rallying around this groundbreaking technology, and for providing insightful feedback as we work together to fuel your innovation with purpose.

As we’ve worked closely with customers and partners during private preview, we have witnessed how Azure Synapse brings teams, data, and skills together. And as announced in the Build keynote, we are excited to open the new features to every data professional with public preview availability.

Insights for all

Azure Synapse provides a breathtaking view of your data across data warehouses and big data analytics systems. Bringing these two worlds together into a single service is challenging as it requires unifying similar concepts that operate differently in each world such as security, privacy, and performance. With Azure Synapse, this seamless unification of data warehousing and big data not only simplifies a business’s analytics platform, but also breaks down silos that exist today because of teams, data, and skills.

Team silos

Bring data teams together and enable them to seamlessly and securely collaborate, share, and analyze data. As data integration, data warehousing, and big data analytics can all be done from a single-pane-of-glass, businesses can break down organizational silos that stagnate time to insight.

Data silos

Manage, secure, and analyze all types of data. A single service can query structured or semi-structured data with data warehousing resources, and also quickly execute a serverless query over unstructured data from your data lake. Enable your data professionals to build end-to-end analytics solutions without having to stitch a multitude of services together.

Take dissolving data silos to the next level with Azure Synapse Link—a cloud-native hybrid transactional analytical processing (HTAP) implementation now available in public preview. This technology removes the barriers between Azure database services and Azure Synapse—enabling customers to get insights from their live transactional data stored in their operational databases with a single click, without managing data movement or placing a burden on their operational systems.

Skill silos

Bring all the existing skills across your business together to accomplish more with your data. With the deeply integrated Apache Spark and SQL engines in Azure Synapse, data professionals who prefer familiar SQL can seamlessly collaborate with those who prefer Spark—and vice versa. For instance, those familiar or who prefer SQL can query Spark tables using the T-SQL language. And data engineers or data scientists who prefer languages such as Python, Scala, SparkSQL, or C# can transform data, train models, and create proofs of concept in the same service that houses data pipelines, data lakes, and data warehouses.

Dissolving these silos is why companies like Neogrid choose Azure Synapse Analytics.

“Azure Synapse naturally facilitates collaboration and brings our data teams together. Working in the same analytics service will enable our teams to develop advanced analytics solutions faster, as well as provide a simplified and fast way to securely access and share data in a compliant manner.”

Emerson Tobar, CTO, Neogrid

Cost savings with industry-leading price-performance

Providing insights for all across your business is the key purpose of analytics. However, the cost it takes to discover and share those insights is equally important.

Azure Synapse Analytics has you covered. Early last year, we announced an independent study by GigaOm that compared Azure Synapse, Amazon Redshift, and Google BigQuery using the highly recognized TPC-H benchmark queries. They found that Azure Synapse is up to 14x faster and costs 94 percent less than other cloud providers. A few months later, we announced a second benchmark report from GigaOm that used the TPC-DS benchmark queries that found Azure Synapse was again the industry leader in price performance. And today, we remain the undisputed leader with businesses reporting an average ROI of 271% when using Azure Synapse.

With the new public preview features, customers can continue to enjoy the industry-leading price performance for provisioned workloads, and begin leveraging the new serverless consumption model that offers pay-per-query functionality. With two ways to analyze data, customers can choose the most cost-effective option for each use case.

Advanced security at no additional cost

When it comes to data, security and privacy are paramount as the insights discovered using analytics are as precious as gold. Advanced security and privacy are built into the fabric of Azure Synapse, such as automated threat detection and always-on data encryption. And for fine-grained access control, businesses can help ensure data stays safe and private using column-level security and native row-level security, as well as dynamic data masking to automatically protect sensitive data in real-time. Most importantly, these critical features are available to all Azure Synapse customers at no additional cost.

Get started today

Try the new Azure Synapse features today with an Azure free trial account.
Register for our upcoming virtual summit and hear directly from Azure Synapse customers on how they are using the new preview features today.
Get started with Azure Synapse partners.

Quelle: Azure

22. Mai 2020

da Agency

Meeting the challenges of today and tomorrow with Azure AI

It’s inspiring to see how customers continue to reimagine how they work with the help of AI, which is more important today than ever. Our customers are finding innovative ways to deliver crisis management solutions, drive cost-savings, redefine customer engagement, and accelerate decision-making.

Here are some notable examples we’ve recently seen:

Scaling crisis management

On the frontlines, first responders rely on Azure AI to scale their triage process to address the overwhelming number of people needing care and to ease volume in the system. For example, healthcare providers have created more than 1,400 bots using our Healthcare Bot service, helping more than 27 million people access critical healthcare information. The U.S. Centers for Disease Control and Prevention released a COVID-19 assessment bot that is powered by Azure Bot Service. Motorola Solutions uses Azure Bot Service, as well as speech and language services, in its own voice assistant for public safety, ViQi, to help 911 dispatchers and first responders focus on what matters most.

Realizing cost-savings

Azure AI is also helping customers optimize their operations to reduce costs. KPMG built a risk and fraud analytics solution using our speech and language services to streamline call center transcription and translation—cutting time, cost, and effort by as much as 80 percent. Norwegian Hull Club, a mutual marine insurance company, built a knowledge mining solution using Cognitive Search for employees to access archived documents, reducing the process from hours to minutes and helping them generate significant savings. Duck Creek is leveraging Cognitive Search and Azure Synapse Analytics to build a claims management solution for insurance companies to save on operational costs by reducing claims errors and minimizing fraud.

Accelerating decision making

Given the pace of change, organizations need to move forward with agility, insights, and confidence. Carhartt used Azure Machine Learning to identify new store locations. These sites exceeded their revenue goals by 285 percent.

Tibco helps field analysts accelerate their decision-making for maintaining power plant operations by leveraging Anomaly Detector and Text Analytics. Wilson Allen is helping law firms around the world to automate paper-based processes by using Form Recognizer and Text Analytics to find new business development opportunities. PwC has built a solution with Cognitive Search to help financial institutions meet regulatory requirements by quickly pinpointing relevant information in dense legal documents. TalentCloud’s solution uses Azure Machine Learning to help farmers increase their yield, reduce pollution, and step up food safety by providing crop management recommendations and controlling irrigation equipment. Scandinavian Airlines (SAS) has used the new responsible ML capabilities in Azure Machine Learning to spot fraudulent transactions with 99 percent accuracy.

Reimagining customer engagement

Offering people more efficient, personalized experiences continues to evolve everywhere—from call centers to classrooms. Vodafone created TOBi, a customer service chatbot with our speech and language services, so customers can quickly complete tasks, freeing up support agents to focus more on complex customer cases. Similarly, Universal Electronics has developed a virtual assistant to enable voice-based control across thousands of consumer devices such as universal remotes and smart thermostats. In banking, Insight Enterprises has created a self-service kiosk solution using our vision, speech, and language services for a more intuitive customer experience. In education, our partners are developing new Azure AI-powered solutions to facilitate remote learning. For example, TAL Education Group is using the pronunciation assessment capability in our Speech service to help students with remote presentation and foreign language practice. Wakelet and Nearpod are helping students enhance their reading comprehension skills using Immersive Reader.

Onward together

Our customers inspire us to continue our focus on supporting their journey with AI. We look forward to innovating with you to help your organization succeed in meeting the challenges of today and tomorrow.

See the latest product announcements.
Discover more about Azure AI.
Read about the new responsible ML capabilities.

Quelle: Azure