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How Data Scientists Used NLP to Save Indigenous African Languages
Data scientists in Cameroon joined forces to form team LangTech as a part of the SAS Global Hackathon. In the face of rapid digitalization and modernization, they sought a way to preserve indigenous African languages. There are over 1,000 African languages, but those with fewer than 100,000 speakers... Read more
ModelOps, MLOps, and Finding Value in Analytics
In a recent survey, 42% of data scientists reported that their results were not used by decision-makers. This is a twofold issue. First, there are the organizations that have invested hundreds of billions of dollars into analytics worldwide annually. Organizations have invested in data collection, cleaning,... Read more
Data Science Talent Strategies for the Great Resignation
The COVID-19 pandemic brought huge changes in the workplace, such as a massive increase in remote working. These may or may not last. However, one pandemic-driven change shows no signs of stopping: the Great Resignation. When the pandemic first hit, resignations as a proportion of the... Read more
How to Become a Data Scientist Who Lives at the Beach
Everyone has a unique career path. In data science, often starts with curiosity about a subject that can only be untangled by applying analytics. In Robert Blanchard’s case, he was studying economics and wanted to learn more about consumer behaviors as they relate to buying patterns.... Read more
Exploring Natural Language Processing: Two Ways You Can Leverage Corpus Analysis
Corpus analysis is a technique widely used by data scientists because it provides understanding of a document collection and provides insights about the text.  It’s an apt methodology to consider as we came upon Charles Dickens’ 210th birthday earlier this year because of how frequently passages... Read more
Hackathon Shows Banking Innovation Potential of Cloud-Deployed Analytics
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
Your Guide For Analyzing Real Time Data with Streaming Analytics from SAS® Viya® on Azure
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
Data science teams are multidisciplinary, each with different skills and technologies of choice. Some of them use SAS, others may have analytical assets already built in Python or R. Let’s just say each team is unique. As part of our Continuous Integration/Continuous Delivery with monthly releases,... Read more
Who Else Wants to Know the Mystery Behind GANs?
Generative adversarial networks (GANs) are one of the newer machine learning algorithms that data scientists are tapping into. When I first heard it, I wondered how can networks be adversarial? I envisioned networks with swords drawn going at it. Close… but I can assure you that... 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