DevOps for Data Science – Infrastructure as Code
In the previous post in this series on DevOps for Data Science, I explained that it’s often difficult to try and implement all of the DevOps practices and tools at one time. I introduced the concept of...
View ArticleDevOps for Data Science – Continuous Integration
In the previous post in this series on DevOps for Data Science, I covered the first the concept in a DevOps “Maturity Model” – a list of things you can do, in order, that will set you on the path for...
View ArticleDevOps for Data Science – Automated Testing
I have a series of posts on DevOps for Data Science where I am covering a set of concepts for a DevOps “Maturity Model” – a list of things you can do, in order, that will set you on the path for...
View ArticleDevOps for Data Science – Continuous Delivery
In this series on DevOps for Data Science, I’ve explained the concept of a DevOps “Maturity Model” – a list of things you can do, in order, that will set you on the path for implementing DevOps in Data...
View ArticleDevOps for Data Science – Release Management
In this series on DevOps for Data Science, I’ve explained the concept of a DevOps “Maturity Model” – a list of things you can do, in order, that will set you on the path for implementing DevOps in Data...
View ArticleDevOps for Data Science – Application Performance Monitoring
In this series on DevOps for Data Science, I’ve explained the concept of a DevOps “Maturity Model” – a list of things you can do, in order, that will set you on the path for implementing DevOps in Data...
View ArticleDevOps for Data Science – Load Testing and Auto-Scale
In this series on DevOps for Data Science, I’ve explained the concept of a DevOps “Maturity Model” – a list of things you can do, in order, that will set you on the path for implementing DevOps in Data...
View ArticleAnalytics is Width. Feature Selection is Depth.
Most organizations don't focus on Data Science or AI or Machine Learning as a single discipline - they group it together with the entire Analytics function. This includes everything from spreadsheets...
View ArticleData Science and Standard Patterns
In Data Science, the word “Pattern” has a specific meaning, involving the patterns that arise from data. This type of analysis is quite common in Data Mining and other technologies used by a Data...
View ArticleThe Microsoft Artificial Intelligence Landscape – And What to use When
Artificial Intelligence (AI), at its broadest definition, is simply “a machine that can act using human-style reasoning or perception”. Of course, the technologies used to enable that definition are...
View ArticleAzure Machine Learning and the Team Data Science Process – Part 1
The Team Data Science Process allows you to have a repeatable, controlled progression for analytics projects. You can use it with any Data Science technologies, and Microsoft has a full suite of...
View ArticleIntroduction to the Microsoft AI Platform
I recently recorded an introduction to the Microsoft Artificial Intelligence suite of tools and services you can use in your organization, from what is already built into Microsoft applications you...
View ArticleThe Data Analysis Maturity Model – Level One: Data Collection Hygiene
Data Science and Advanced Analytics are umbrella terms that usually deal with predictive or prescriptive analytics. They often involve Reporting, Business Intelligence, Data Mining, Machine Learning,...
View ArticleThe Data Analysis Maturity Model – Level Two: Reliable Data Storage and Query...
I'm in a series defining a Data Analysis Maturity Model. In the first level, I described the importance of creating, validating, testing and tracking your base data collection methods. With the source...
View ArticleThe Data Analysis Maturity Model – Level Three: Distributed, consistent...
I’m covering a series of data analysis maturity levels, which are essential to performing Advanced Analytics. We’re often quick to adopt a new way of evaluating data, while sometimes ignoring the fact...
View ArticleApplied AI – Using a Bot for Password Reset
Learn AI Team - Rodrigo Souza The topic today is how to use a bot to optimize processes within a corporate help desk. Lost passwords and Active Directory password resets are still the leading cause of...
View ArticleMicrosoft Ignite 2018 Links to Training
I recently attended, presented, worked and did interviews at the Microsoft Ignite 2018 Conference in Orlando. If you have never been, you should go sometime. 30,000 people, 2.1 million square feet of...
View ArticleLUIS: Notes from the Field of Natural Language Processing
I'm Anna Thomas, an Applied Data Scientist within Microsoft’s AI Engineering team. My focus the past two years has been in the “Applied AI” realm, which basically means integrating pre-built AI...
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