VP Data & AI at ECS, roles have included co-founder at a data analytics startup, VP AI at Booz Allen, and Global Analytics Lead at Accenture. New ethical and moral questions continue to emerge as we expand how we use artificial intelligence in…
AI development today has become fixated on singular monolithic models trained end-to-end without any human assistance and encapsulating an almost general intelligence-like variety of tasks together. The resulting models have struggled in areas like content moderation to sufficiently abstract beyond their limited training data. Yet, as…
I’ve seen some “advanced analytics transformations” succeed and many others fail. It’s well known that most of these transformations end in failure, wasting huge amounts of time and money. And what is worse, these failures typically sour the organization on data science and…
When Dr. Parminder Basran, associate research professor of oncology, arrived at the Cornell University College of Veterinary Medicine (CVM), he brought a totally new type of expertise to the college. As a radiation physicist, Basran uses artificial intelligence to analyze radiology images —…
ML model training is the most time-consuming and resource-expensive part of the overall model-building journey. Training by definition is iterative, but somewhere during the iterations, mistakes seep into the mix. In this article, I share the ten deadly sins during ML model…
By Ágoston Török, Director Data Science, AGT International According to its definition, a design pattern is a reusable solution to a commonly occurring problem. In software engineering, the concept dates back to 1987 when Beck and Cunningham started to apply it to programming. By the 2000s, design…
As newer technologies evolve, differentiating one from another becomes challenging. The difficulty increases when it appears that the technologies perform similar functions. Even the technical language can add to the confusion. However, organizations need at least a high-level understanding of a technical…
By Venkatesh Wadawadagi, Sahaj Software Solutions Different approaches have been employed to solve the growing need for accurate object detection models. More recently, with the popularization of the convolutional neural networks (CNN) and GPU-accelerated deep-learning frameworks, object- detection algorithms started being developed from…
What’s machine learning as a service or MLaaS? Machine learning as a service (MLaaS) refers to a number of services that offer machine learning tools as a part of cloud computing services. The main benefit of this solution is that customers can get…
The uptick in Twitter user activity during the recent lockdown made it seem like a good place to start looking for a quarantine project to increase my competency with machine learning. Specifically, as misinformation and baffling conspiracies took hold of the U.S.’s online population, trying to come…
