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Scale Model Deployment Anywhere with Azure Arc Enabled Machine Learning
The Azure Machine Learning team is excited to announce the public preview of Azure Arc-enabled Machine Learning for inference. This builds on our training preview, enabling customers to deploy and serve models in any infrastructure on-premises and across multi-cloud using Kubernetes. With a simple AzureML extension... Read more
Since the beginning of the COVID pandemic, there have been more than 700000 scientific papers published on the subject. A human researcher cannot possibly get acquainted with such a huge text corpus — and therefore some help from AI is highly needed. In this post, we... Read more
How to Plan a Legacy Data Warehouse Migration to the Cloud
Many companies are moving their legacy data warehouse to the cloud for a variety of reasons such as cost savings, scalability, use of data analytics for business growth, and improved integration. Spotify, an audio streaming platform, moved to Google Cloud Platform (GCP) in 2015 to handle... Read more
MLOps: 2021’s Must Have Skill
For most practitioners, the machine learning workflow is straightforward. Training, validation, and deploying models can all be done manually. As machine learning pipelines grow more complex and technical risks increase, however, this is no longer scalable either technically or culturally. Manual processes lack robustness and discipline... Read more
In 2020, SAS and Microsoft announced their partnership with the common goal to inspire greater trust and confidence in every data-driven decision, by driving innovation and proven AI in the cloud. Artificial Intelligence (AI) is changing the way people and organizations improve decision-making and move about... Read more
Introduction to PyTorch
Recently, Microsoft and PyTorch announced a “PyTorch Fundamentals” tutorial, which you can find on Microsoft’s site and on PyTorch’s site. The code in this post is based on the code appearing in that tutorial, and forms the foundation for a series of other posts, where I’ll explore other... Read more
Optimizing PyTorch Performance: Batch Size with PyTorch Profiler
This tutorial demonstrates a few features of  PyTorch Profiler that have been released in v1.9. PyTorch. Profiler is a set of tools that allow you to measure the training performance and resource consumption of your PyTorch model. This tool will help you diagnose and fix machine learning performance issues regardless of whether you are working on one or... Read more
2021 Trends Data Scientists Should Follow
I read analyst reports to keep myself up to date with what is going on in the analytics and AI world. An analyst report offers an unbiased, side-by-side, third-party evaluation of the technology in the market. I trust them because I have lived through the rigorous... Read more
Shell and Microsoft Announce the Open AI Energy Initiative for AI-Based Energy Solutions
This month, Shell, Microsoft, C3.ai, and Baker Hughes announced the launch of their collaborative AI initiative, Open AI Energy Initiative™ (OAI). Designed for the process and energy sectors, OAI is an open-source tool that offers AI-based solutions, diagnostics, and monitoring to prevent crucial issues. Context Currently,... Read more
Top 10 Skills for Data Engineers in 2021
Data engineering is an increasingly sought after job role, and despite a tumultuous 2020, the chart above showed it’s more in demand than ever.  Due to the pandemic, jobs were scarce in April but quickly rebounded before the traditional summer lull hit. Demand increased significantly in... Read more