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5 key areas for tech leaders to watch in 2020

O'Reilly on Data

Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform. After several years of steady climbing—and after outstripping Java in 2017—Python-related interactions now comprise almost 10% of all usage. Python libraries are no less useful for manipulating or engineering data, too.).

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GoLang for Data Science

Data Science 101

While it is not one of the popular programming languages for data science, The Go Programming Language (aka Golang) has surfaced for me a few times in the past few years as an option for data science. I decided to do some searching and find some conclusions about whether golang is a good choice for data science.

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Handling real-time data operations in the enterprise

O'Reilly on Data

Getting DataOps right is crucial to your late-stage big data projects. At Strata 2017 , I premiered a new diagram to help teams understand why teams fail and when: Early on in projects, management and developers are responsible for the success of a project. Data science is the sexy thing companies want. They're right.

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Top BOB Blog Posts of 2018: Data Science, Machine Learning and the Net Promoter Score

Business Over Broadway

The importance of data science and machine learning continues to grow in business and beyond. I did my part this year to spread interest in data science to more people. Below are my top 10 blog posts of 2018: Favorite Data Science Blogs, Podcasts and Newsletters. Click image to enlarge.

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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

The data science profession has become highly complex in recent years. Data science companies are taking new initiatives to streamline many of their core functions and minimize some of the more common issues that they face. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. from 2017 , and this is one of the business analytics topics we will hear even more in 2020.

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Transitioning from data scientist to data science leader

Insight

Over the last three years, I’ve worked with more than 500 Insight Fellows , coaching them as they transition to thriving industry careers in data science, data engineering, and artificial intelligence. However, even as she enthusiastically interviewed for the role of VP and Head of Data Science at Dotdash?—?a