Agile methodologies are widely deployed into application development for a number of reasons. Establishing this methodology can increase the overall “throughput” of model lifecycle management by streamlining end-to-end tasks, facilitating the use of talent pools,...
The adoption of machine learning to business processes has led to higher acceleration, growth, and adaptability than ever before. Building a successful machine learning capability, however, is dependent on a business's digital foundation from an organizational and...
We live in a world where we collectively generate over two quintillion bytes of data daily. This (big) data propels growth and innovation, if leveraged correctly. Big data is now used by every industry, from the banking sector, which generates unparalleled quantities...
Neural networks — the technique underlying nearly all systems we describe as “artificial intelligence” today — are revolutionizing the way we communicate, get around, and express ourselves. In one of the most prominent recent examples, the GPT-3...
In this tumultuous year, we’ve seen how digital and data-centric companies have been growing and flourishing amid the pandemic, which encouraged many other organizations to follow in their footsteps. The year 2020 presented a few key events that highlighted the...
Based on a presentation by Chris Lindner – Manager, Product Science at Indeed, watch the full presentation here. Note: This talk was presented in February, and the job market has changed quite a bit amidst the COVID-19 pandemic. While not specific to jobs in data...
Based on a presentation by Caitlin Hudon – Lead Data Scientist at OnlineMedEd, watch the full presentation here. At #DSSATX (overall event recap here), we loved the super-practical step-by-step advice on setting up the very first data science infrastructure and team...
Consider how the software development life cycle (SLDC) is well-defined at this point: planning, creating, testing, deploying, maintaining – or some variant, depending on your software methodology. The gist remains consistent. Computer software runs “logic” in...
At most companies, a data scientist’s main objective is to determine how machine learning technologies can revolutionize business procedures. In his insightful talk in February 2018 at Data Science Salon Miami, Mark Fridson Principal Data Scientist at Carnival Cruise...
In the next five years, media will be transformed by AI. AI will probably touch all aspects of the media value chain. We’re not at the beginning of this analytics revolution - we are at the end of the beginning, and the middle is going to be marked by widespread...