Retail and eCommerce companies are embracing AI and machine learning (ML) technologies in order to gain valuable insights, automate marketing, forecast demand and much more. Implementing a successful AI system includes model building but it goes far beyond that. It...
ESG (Environmental, Social and Governance) investing is a great umbrella term to describe responsible investing (RI), a way to evaluate companies beyond financial factors. In other words, ESG is a way of measuring the impact of companies on the environment and...
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...
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...
Businesses frequently face the challenge of anticipating the future as accurately as possible when making operational, tactical, and strategic decisions. They want to know if their sales and expenses will increase or decrease in the future, if their stocks will last...
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...
Machine learning (ML) has achieved considerable successes in recent years and an ever-growing number of disciplines rely on it. This success, however, crucially depends on human-machine learning experts to perform data pre-processing and cleaning, model selection,...
Throughout the 25 years of my research and development of computer vision solutions, I have seen computer vision technology transform and grow at a rapid pace. When I started out, computer vision was a niche technology; months of hard work was required in order to...