Tag: Machine Learning
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...

Clickstream Data Mining With Markov Chain and cSPADE

Clickstream Data Mining With Markov Chain and cSPADE

In this post, we’ll show you how to mine clickstream data using two key algorithms: Markov Chain for determining state transition probabilities and cSPADE for discovering sequential patterns. Using these techniques you can leverage your clickstream data to generate...

How Does Auto ML Help Ask the Right Business Question?

How Does Auto ML Help Ask the Right Business Question?

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,...

Making Visual AI Ready for Mass Deployment

Making Visual AI Ready for Mass Deployment

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...

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...

Data Science Use Cases and Challenges in Healthcare in 2021

Data Science Use Cases and Challenges in Healthcare in 2021

Artificial Intelligence (AI) offers promising opportunities to reinvent the healthcare industry, from optimizing the diagnostic progress to improving quality of care as well as managing hospital capacities. Particularly during a global pandemic AI carries the hope to...