Liwaiwai Liwaiwai
  • /
  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Engineering
    • Architecture
    • Design
    • Software
    • Hybrid Cloud
    • Data
  • Learning
  • About
  • /
  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Engineering
    • Architecture
    • Design
    • Software
    • Hybrid Cloud
    • Data
  • Learning
  • About
Liwaiwai Liwaiwai
  • /
  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Engineering
    • Architecture
    • Design
    • Software
    • Hybrid Cloud
    • Data
  • Learning
  • About
  • Machine Learning

Azure Machine Learning Helps Customers Stay Ahead Of Challenges

  • October 7, 2020
  • liwaiwai.com

Organizations today are striving to build agility and resilience to the fast-changing environment we live in. AI and machine learning  innovation can help tackle these emerging challenges and enable cost efficiencies. However, organizations still encounter barriers to adopting and deploying machine learning at scale. Recently at Microsoft Ignite, Azure Machine Learning made a number of announcements that help organizations harness machine learning more easily, securely, and at scale. This includes capabilities like designer and automated machine learning UI, now generally available, that simplify machine learning for beginners and professionals alike. Advanced role-based access control (RBAC) and private IP link, in preview, make it possible to build machine learning solutions more securely. In addition, we are merging the Azure Machine Learning Enterprise and Basic Editions to deliver greater value at no extra cost.

“With Azure Machine Learning, we’re increasing speed-to-value while reducing cost-to-value.” – Sarah Dods, Head of Advanced Analytics, AGL. Read the story.

 


Partner with liwaiwai.com
for your next big idea.
Let us know here.



From our partners:

CITI.IO :: Business. Institutions. Society. Global Political Economy.
CYBERPOGO.COM :: For the Arts, Sciences, and Technology.
DADAHACKS.COM :: Parenting For The Rest Of Us.
ZEDISTA.COM :: Entertainment. Sports. Culture. Escape.
TAKUMAKU.COM :: For The Hearth And Home.
ASTER.CLOUD :: From The Cloud And Beyond.
LIWAIWAI.COM :: Intelligence, Inside and Outside.
GLOBALCLOUDPLATFORMS.COM :: For The World's Computing Needs.
FIREGULAMAN.COM :: For The Fire In The Belly Of The Coder.
ASTERCASTER.COM :: Supra Astra. Beyond The Stars.
BARTDAY.COM :: Prosperity For Everyone.

Machine learning simplified

Azure Machine Learning designer provides a drag-and-drop canvas to build no-code models with ease. Built-in modules help preprocess data and build and train models using machine learning and deep learning algorithms, including computer vision, text analytics, recommendation, anomaly detection, and more. You can also customize models using Python or R code and deploy them as batch or real-time endpoints with a few clicks.

“By using Azure Machine Learning designer we were able to quickly release a valuable tool built on machine learning insights, that predicted occupancy in trains, promoting social distancing in the fight against COVID-19” – Steffen Pedersen, Head of AI and advanced analytics, DSB (Danske Statsbaner, Danish State Railways)

 

​Azure Machine Learning designer used for image classification.
​Azure Machine Learning designer used for image classification.

You can use Azure Machine Learning automated machine learning to rapidly build highly accurate models by automating iterative tasks. The no-code UI helps build and deploy models refined by a wide array of algorithms and hyperparameters. It supports a variety of tasks like classification, regression, and time-series forecasting and statistical models like ARIMA, Prophet, and deep learning models like TCN. You can understand and control the model building process, discover errors and inconsistencies in data using guardrails, and use model explanations for transparency into the model.

Read More  Book: AI Is Cool, But Nowhere Near Human Capacity

 

autoML_transparency
Model explanations in Automated machine learning UI help understand what features impact the model.

Data labeling in Azure Machine learning gives data teams a central place to create, manage, and monitor labeling projects. It supports image classification, multi-label and multi-class, and object identification with bounded boxes. The machine learning assisted labeling capability helps trigger automatic machine learning models to accelerate labeling tasks.

 

Mission-critical MLOps, security, and scale

“Azure Machine Learning’s MLOps is at the core of our product. Because of the reproducible machine learning pipelines, reusable environments, versioned models and more, we’re detecting things that we missed before. Which, in terms of risk management, is critical.” – Ignasi Paredes-Oliva, Senior Data Scientist, Nestlé Global Security Operations Center. Read the story.

Azure Machine Learning now fully supports managing the end-to-end machine learning lifecycle using open MLflow standards. You can submit training jobs using MLflow experiments and MLflow Projects. When ready to scale to the cloud, easily switch the configuration to run models on Azure Machine Learning. The models are registered and tracked using MLOps and the central registry, making it easier to deploy to Azure Container Instance or Azure Kubernetes Service.

mlflow-properties-updated
Azure Machine Learning logs MLflow properties for MLflow model traceability.​

Private IP is a common requirement in regulated industries such as government, finance, and healthcare. Workspace Private Link is a network isolation capability that enables access to Azure Machine Learning over a private IP in your virtual network (VNet). Administrators can ensure that traffic between your VNet and Azure Machine Learning travels through the Microsoft network so that the machine learning workspace and assets are no longer be exposed to the internet.​

With Azure Machine Learning advanced RBAC, IT admins can create roles that map to user types in Azure Machine Learning for better control of users working in a workspace using permissions and reducing risk. For example, data labelers can be scoped to only allow data labeling actions, or MLOps roles can only submit published pipelines.

Read More  Microsoft Offers Azure ML Data Import CLI, SDK For Snowflake, Other Databases

 

Access Azure Machine Learning today

We are merging Azure Machine Learning Enterprise and Basic Editions to bring you all the rich capabilities for end-to-end machine learning, at no added cost, in a single offering. You only pay for Azure resources consumed, with no additional charge. This builds on Azure Machine Learning’s cost management capabilities, and we are committed to ensuring that Azure remains your platform of choice for machine learning.

We hope you will join us and start your journey with Azure Machine Learning today!

  • Try Azure Machine Learning for free.
  • Learn more about Azure Machine Learning and follow the quick start guides and tutorials.
  • See how Forrester named Microsoft and Azure Machine Learning a leader in their Notebook-based Predictive Analytics and Machine Learning wave report.

 

By Erez Barak Partner Group Program Manager, AI Platform Management

Source https://azure.microsoft.com/en-us/blog/azure-machine-learning-helps-customers-stay-ahead-of-challenges/


For enquiries, product placements, sponsorships, and collaborations, connect with us at [email protected]. We'd love to hear from you!

Our humans need coffee too! Your support is highly appreciated, thank you!

liwaiwai.com

Related Topics
  • Azure AI
  • Azure Machine Learning
  • Microsoft Azure
  • Microsoft Ignite
  • MLOps
You May Also Like
Microsoft and Adobe
View Post
  • Artificial Intelligence
  • Machine Learning
  • Platforms

Microsoft And Adobe Partner To Deliver Cost Savings And Business Benefits

  • September 21, 2023
Data
View Post
  • Artificial Intelligence
  • Machine Learning
  • Technology

UK Space Sector Has Sights Set On Artificial Intelligence And Machine Learning Professionals

  • September 15, 2023
Data
View Post
  • Artificial Intelligence
  • Engineering
  • Machine Learning
  • Platforms

How Verve Group Transforms Customer Experiences With Google Cloud Vertex AI

  • September 11, 2023
View Post
  • Artificial Intelligence
  • Machine Learning
  • Technology

ListenField Enables Farmers To Harvest The Benefits Of AI And Machine Learning

  • September 7, 2023
View Post
  • Artificial Intelligence
  • Hybrid Cloud
  • Machine Learning
  • Platforms

Red Hat OpenShift Now Available In AWS Marketplace For The U.S. Intelligence Community

  • September 6, 2023
View Post
  • Artificial Intelligence
  • Machine Learning
  • Software
  • Technology

Series Of Events Will Highlight Generative AI Use Cases Powered By Open Source Software

  • September 6, 2023
View Post
  • Artificial Intelligence
  • Machine Learning
  • Platforms

Introducing Duet AI In Apigee API Management And Application Integration

  • September 1, 2023
View Post
  • Artificial Intelligence
  • Data
  • Machine Learning
  • Platforms

IBM Introduces ‘Watsonx Your Business’

  • August 28, 2023
A Field Guide To A.I.
Navigate the complexities of Artificial Intelligence and unlock new perspectives in this must-have guide.
Now available in print and ebook.

charity-water



Stay Connected!
LATEST
  • 1
    AI-Driven Tool Makes It Easy To Personalize 3D-Printable Models
    • September 22, 2023
  • 2
    Applying Generative AI To Product Design With BigQuery DataFrames
    • September 21, 2023
  • 3
    Combining AI With A Trusted Data Approach On IBM Power To Fuel Business Outcomes
    • September 21, 2023
  • Microsoft and Adobe 4
    Microsoft And Adobe Partner To Deliver Cost Savings And Business Benefits
    • September 21, 2023
  • 5
    Huawei Connect 2023: Accelerating Intelligence For Shared Success
    • September 20, 2023
  • 6
    Document AI Workbench Is Now Powered By Generative AI To Structure Document Data Faster
    • September 15, 2023
  • Data 7
    UK Space Sector Has Sights Set On Artificial Intelligence And Machine Learning Professionals
    • September 15, 2023
  • Intel Innovation 8
    Intel Innovation 2023
    • September 15, 2023
  • 9
    Introducing OpenAI Dublin
    • September 14, 2023
  • 10
    Microsoft And Oracle Expand Partnership To Deliver Oracle Database Services On Oracle Cloud Infrastructure In Microsoft Azure
    • September 14, 2023

about
About
Hello World!

We are liwaiwai.com. Created by programmers for programmers.

Our site aims to provide materials, guides, programming how-tos, and resources relating to artificial intelligence, machine learning and the likes.

We would like to hear from you.

If you have any questions, enquiries or would like to sponsor content, kindly reach out to us at:

[email protected]

Live long & prosper!
Most Popular
  • 1
    Real-Time Ubuntu Is Now Available In AWS Marketplace
    • September 12, 2023
  • 2
    IBM Brings Watsonx To ESPN Fantasy Football With New Waiver Grades And Trade Grades
    • September 13, 2023
  • 3
    IBM Announced As A Sponsor Of 2023 U.N. Climate Change Conference (COP28)
    • September 13, 2023
  • 4
    NASA Shares Unidentified Anomalous Phenomena Independent Study Report
    • September 14, 2023
  • 5
    Bristol Set To Host UK’s Most Powerful Supercomputer To Turbocharge AI Innovation
    • September 13, 2023
  • /
  • Artificial Intelligence
  • Explore
  • About
  • Contact Us

Input your search keywords and press Enter.