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Article by Jen Looper, Principal Cloud Developer Advocate Lead at Microsoft on the Next Generation Team. I tie my Hat — I crease my Shawl — Life’s little duties do — precisely — As the very least Were infinite — to me — I put new... Read more
Data engineering is overtaking “data science” as the hot skillset of the 2020s. Companies are actively seeking people to collect data and load it into pipelines for the rest of the data science team to clean and organize. Without this data, there would be no data... Read more
The way the pandemic accelerated digital transformation has opened many doors for data science. It forced many normal functions and operations into virtual models that generate streams of data. And since data and AI became synonymous with innovation long before COVID-19, the pandemic effectively accelerated innovation... Read more
As artificial intelligence comes of age and data continues to disrupt traditional industry boundaries, the need for real-time analytics is escalating as organizations fight to keep their competitive edge. The benefits of real-time analytics are significant. Manufacturers must inspect thousands of products per minute for defects.... Read more
As AI becomes integrated with many businesses, organizations, and nonprofits, new dilemmas arise beyond just productivity and efficiency. Responsible AI is paramount to successful AI implementation, ensuring that the algorithms are not just unbiased and objective, but represent the most accurate and current data possible. At... Read more
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
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
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