Page 3 - Azure Machine News Today

<p><span>Strategic partnership highlights</span></p>
<ul>
<li>New collaboration to architect LSEG’s data infrastructure and build intuitive next-generation productivity, data and analytics and modelling solutions with Microsoft Azure, AI, and Microsoft Teams</li>
<li>Step-change in services for customers across the financial markets value chain, including an enhanced version of LSEG Workspace with seamless Teams...

We've heard a lot about Stewart Butterfield stepping down as Slack CEO, but less about his successor, Lidiane Jones.

Wall Street analysts say these growth stocks are undervalued.

Francesca Lazzeri shares an overview of the most popular MLOps tools and best practices, and presents a set of tips and tricks useful before deploying a solution in production.

Data analysis is now one of the core functions within any data-driven organization. It enables companies to convert raw data into useful insights that can drive better decision-making processes. The best part about data analytics is that there are many tools on the market for both professionals and

Microsoft offers an array of options for data analytics in its cloud that are meant to operate together as a full analytics stack. Here is an overview of the core services and where each fits.

What should you know before deploying machine learning projects to production? There are four aspects of Machine Learning Operations, or MLOps, that everyone should be aware of first.

Cloud data center providers leading multicloud and hybrid cloud include AWS, Google Cloud, Microsoft Azure, Alibaba, IBM and Oracle Cloud.

/PRNewswire/ -- In their talk Supercharging MLOps with Composability, Automation, and Scalability at Open Data Science Conference (ODSC) East, Aurick Qiao, PhD...

Microsoft reported a better-than-expected third fiscal quarter this week, with CEO Satya Nadella calling several products “new growth engines&...