Tag: Management
The Power of Holistic ML for Business Growth

The Power of Holistic ML for Business Growth

With the recent advancements in machine learning (ML),  organizations can use algorithms to positively influence every stage of the business growth cycle - from customer acquisition, to activation, retention and referral. However, an ML system applied in one...

Five things you might not be considering about your MLOps needs

Five things you might not be considering about your MLOps needs

MLOps—short for “machine learning operations”—has become a buzzword in recent years, and for good reason. Algorithmia’s 2021 enterprise trends in machine learning report found that while organizations have dramatically increased their investments in machine...

Making Sure People Count with Big Data and Machine Learning

Making Sure People Count with Big Data and Machine Learning

The US Constitution bases representation in Congress on an "actual enumeration" carried out at least once every ten years. Last year, there was a large fight over this obscure clause, ending in a supreme court decision re-affirming that all permanent residents should...

Being Agile While Developing AI Products

Being Agile While Developing AI Products

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,...

Adopting Machine Learning to Drive Revenue and Market Share

Adopting Machine Learning to Drive Revenue and Market Share

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...

How to Monetize and Productize Data Science

How to Monetize and Productize Data Science

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...

Do Neural Networks Really Need to Be So Big?

Do Neural Networks Really Need to Be So Big?

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...

6 Data Science Trends to Watch in 2021

6 Data Science Trends to Watch in 2021

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...

Building Data Science Infrastructure

Building Data Science Infrastructure

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...