Azure Machine Learning Integrations

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

Microsoft Azure is a cloud computing platform that allows you to quickly develop, test and manage applications. Azure. Invent with purpose. With more than 100 services, you can turn ideas into solutions. Microsoft continues to innovate to support your development today and your product visions tomorrow. Open source and support for all languages, frameworks and languages allow you to build what you want and deploy wherever you want. We can meet you at the edge, on-premises, or in the cloud. Services for hybrid cloud enable you to integrate and manage your environments. Secure your environment from the ground up with proactive compliance and support from experts. This is a trusted service for startups, governments, and enterprises. With the numbers to prove it, the cloud you can trust.

With an OCI distribution fully managed and geo-replicated, you can create, store, secure and scan container images and artifacts. Connect across Azure services such as Azure Kubernetes Service, Azure Red Hat OpenShift and Batch. Geo-replication allows you to efficiently manage multiple registry locations. OCI artifact repository to add helm charts, singularity support and new OCI-supported formats. Automated container building, patching, and updates of base images. Task scheduling. Integrate security with Azure Active Directory (AzureAD) authentication, role-based control, Docker content trusted, and virtual network integration. Azure Container Registry Tasks streamlines the process of building, testing and pushing images to Azure.

DSVMs are Azure Virtual Machine Images that have been pre-configured, configured, and tested with many popular tools that are used for data analytics and machine learning. A consistent setup across the team promotes collaboration, Azure scale, management, Near-Zero Setup and full cloud-based desktop to support data science. For one to three classroom scenarios or online courses, it is easy and quick to set up. Analytics can be run on all Azure hardware configurations, with both vertical and horizontal scaling. Only pay for what you use and when you use it. Pre-configured Deep Learning tools are readily available in GPU clusters. To make it easy to get started with the various tools and capabilities, such as Neural Networks (PYTorch and Tensorflow), templates and examples are available on the VMs. ), Data Wrangling (R, Python, Julia and SQL Server).

NVIDIA Triton™, an inference server, delivers fast and scalable AI production-ready. Open-source inference server software, Triton inference servers streamlines AI inference. It allows teams to deploy trained AI models from any framework (TensorFlow or NVIDIA TensorRT®, PyTorch or ONNX, XGBoost or Python, custom, and more on any GPU or CPU-based infrastructure (cloud or data center, edge, or edge). Triton supports concurrent models on GPUs to maximize throughput. It also supports x86 CPU-based inferencing and ARM CPUs. Triton is a tool that developers can use to deliver high-performance inference. It integrates with Kubernetes to orchestrate and scale, exports Prometheus metrics and supports live model updates. Triton helps standardize model deployment in production.

Slingshot is a digital workplace that combines all the best features of traditional office software to boost team performance. Only Slingshot can combine data analytics, project management, information management, chat, goals-based strategy benchmarking, and data analytics. Slingshot makes it easier to find and retrieve information, thereby creating calm and efficiency among teams, departments, clients, and external parties. Your team can use data to increase productivity and leverage actionable insights. You will achieve better results if everyone is focused on the same goals and strategies. Create a culture that encourages ownership and accountability, as well as transparency in workflow. Slingshot is being used by more and more companies to improve their workplace capabilities, increase project success, and provide a revolutionary software solution that unleashes the potential of their teams. Slingshot connects with your most important business tools, making it your project control centre.

You can now build what took years. Simple, customizable, scalable, secure, ML monitoring. Everything you need to deploy and maintain ML in production. Superwise integrates with any ML stack, and can connect to any number of communication tools. Want to go further? Superwise is API-first. All of our APIs allow you to access everything, and we mean everything. All this from the comfort of your cloud. You have complete control over ML monitoring. You can set up metrics and policies using our SDK and APIs. Or, you can simply choose a template to monitor and adjust the sensitivity, conditions and alert channels. Get Superwise or contact us for more information. Superwise's ML monitoring policy templates allow you to quickly create alerts. You can choose from dozens pre-built monitors, ranging from data drift and equal opportunity, or you can customize policies to include your domain expertise.

Kedro provides the foundation for clean, data-driven code. It applies concepts from software engineering to machine-learning projects. Kedro projects provide scaffolding for complex machine-learning and data pipelines. Spend less time on "plumbing", and instead focus on solving new problems. Kedro standardizes the way data science code is written and ensures that teams can collaborate easily to solve problems. You can make a seamless transition between development and production by using exploratory code. This code can be converted into reproducible, maintainable and modular experiments. A series of lightweight connectors are used to save and upload data across a variety of file formats and file systems.

Azure Kinect is an advanced spatial computing developer kit that includes sophisticated computer vision and voice models, advanced AI sensor, and a variety of powerful SDKs. It can be connected with Azure AI Services. Azure Kinect allows manufacturing, retail, healthcare and media companies to leverage spatial data and context in order to improve operational safety, improve performance, and revolutionize customer experience. Use computer vision to monitor and track exercise movements and form. Create a smart fitness experience that can improve results or a virtual rehabilitation solution that is accessible and effective. Combine real-time sensor data and AI-driven insights. Predictive alerts can help prevent and mitigate patient injuries and accidents in care environments. You can choose between a 1-MP depth sensor and a wide or narrow field of view (FOV), which will help you optimize your application.

Azure Percept is an easy-to-use platform that allows you to create edge AI solutions. With hardware accelerators that seamlessly integrate with Azure AI and Azure Internet of Things services, you can quickly start your proof-of-concept. Azure Percept integrates seamlessly with Azure Cognitive Services, Azure Machine Learning and other Azure services to deliver real-time vision and audio insights. End-to-end edge AI platform with hardware accelerators that integrate with Azure AI and IoT. You can quickly start your proof-of-concept with pre-built AI models and solution administration. Your edge AI solution includes security measures to protect your most valuable and sensitive assets. A library of prebuilt AI models is available to you for vision capabilities such as object detection, vehicle analytics, and voice control. No code required to customize AI model training and deploy locally or in cloud.

The Wizata Platform enables the manufacturing industry to drive digital transformation. It facilitates the development of AI solutions, from proof of concept to production recommendations, for a complete loop control through AI. This SaaS-Software as a Service platform acts as an orchestrator for your various assets (machines and sensors, AI, edge, etc.) and allows you to easily gather and analyze your data. It is your sole control. You can manage your resources and prioritize your projects based on how your AI solutions solve business problems and improve production processes. We have also developed data science best practices in metalurgics since 2004.

The AI revolution has arrived. The regulatory landscape is constantly changing, and innovation is moving at lightning speed. How can you ensure that your AI systems, as well as those of your vendors, remain compliant, secure, and trustworthy? Cranium helps cybersecurity teams and data scientists understand how AI impacts their systems, data, or services. Secure your organization's AI systems and machine learning systems without disrupting your workflow to ensure compliance and trustworthiness. Protect your AI models from adversarial threats while maintaining the ability to train, test and deploy them.

Easy deployment of applications to the cloud with your choice in languages and frameworks. High availability and elastic scaling are built-in features that help you achieve business continuity and respond dynamically to changes in customer demands. Azure IP Advantage provides unparalleled security and compliance. The global network of Microsoft's data centers also offers industry-leading reach. No hidden costs. Choose the right resources to meet your workloads. Combining MariaDB Community Edition with the benefits of an entirely managed service provider will free developers from complex database management and infrastructure so they can concentrate on building exceptional applications. Azure Database for MariaDB integrates tightly with Azure web applications and works with popular open source frameworks and languages. Use it with popular content-management apps, such as WordPress or Drupal, to get a fully integrated solution that supports your application development needs.

BotCore is an accelerator that allows organizations to create customized conversational bots powered artificial intelligence. It can use any AI service and will scale for future services. It can be fully deployed into Microsoft Azure and takes advantage of many of its features.

MLflow is an open-source platform that manages the ML lifecycle. It includes experimentation, reproducibility and deployment. There is also a central model registry. MLflow currently has four components. Record and query experiments: data, code, config, results. Data science code can be packaged in a format that can be reproduced on any platform. Machine learning models can be deployed in a variety of environments. A central repository can store, annotate and discover models, as well as manage them. The MLflow Tracking component provides an API and UI to log parameters, code versions and metrics. It can also be used to visualize the results later. MLflow Tracking allows you to log and query experiments using Python REST, R API, Java API APIs, and REST. An MLflow Project is a way to package data science code in a reusable, reproducible manner. It is based primarily upon conventions. The Projects component also includes an API and command line tools to run projects.

Evvox is an insurance platform that provides an end-to-end platform. Our North Star is to help your business identify new growth channels and increase its profitability. This is possible with advanced analytics, AI/ML technology and intelligent routing. We also provide customer segmentation, customer lifetime values, cross-sell/upsell and many other services that can be used to help your company. The best thing about our data platforms is their ability to integrate new data into existing models and present it in a way that is relevant to you. We are the ones who walk the talk. Our company has 25 years' experience ingestion. We have optimized it and focused on it to speed-up new data times 5x-10x. We bring the data models as well as the external data. We bring the data models and the external data. Together we create the foundation for insights. Your sales team receives insights directly from your data. Your sales team can be equipped to provide the best value to customers and to sign new business.

Data is used to inform every aspect of a plant or facility. It is the basis for most operational processes, business decisions, and environmental events. This data is often blamed for failures, whether it's operator error, bad sensor, safety or environmental events or poor analytics. APERIO can help solve these problems. Data integrity is a critical element of Industry 4.0. It is the foundation on which more advanced applications such as predictive models and process optimization are built. APERIO DataWise provides reliable, trusted data. Automate the quality of PI data and digital twins at scale. Validated data is required across the enterprise in order to improve asset reliability. Empowering the operator to take better decisions. Detect threats to operational data in order to ensure operational resilience. Monitor & report sustainability metrics accurately.