AutoML 2.0: Is The Data Scientist Obsolete?

It's an AutoML World. The world of AutoML has been proliferating over the past few years - and with a recession looming, the notion of automating the development of AI and Machine Learning is bound to become even more appealing. New platforms are available with increased capabilities and more automation. The advent of AI-powered Feature Engineering - which allows users to discover and create features for data science processing automatically - is enabling a whole new approach to data science that, seemingly, threatens the role of the data scientist. Should data scientists be concerned about these developments? What is the role of the data scientist in an automated process? How do organizations evolve because of this new-found automation?

Ryohei FujimakiRyohei FujimakiJanuary 11, 2022AutoML 2.0, data science, data scientist, democratization, automationComment

Ten Lasting Impacts of The Virus

We’re all wondering how to survive the virus: how to stay alive, and also solvent. Assuming we manage that, what will be its lasting impacts?

1. Appreciation of exponentials

The rising death tolls in many countries has been shocking to watch. Many people are getting their first up-close-and-personal view of the astonishing power of exponential growth. Assuming we manage that, what will be its lasting impacts?

Calum ChaceCalum ChaceJanuary 11, 2021exponentials, UBI, digital nomads, tele, telemedicine, acceptance, COVID-19, lasting impacts, automationComment

Digital Transformation of Supply Chain through IoT, Analytics and Automation

The increasingly fast paced and competitive landscape of products and services have necessitated innovative approaches for managing logistics and supply chain. Logistics pertains to distribution and organization of products within an organization. It includes warehousing and transportation and is considered part of the overall Supply Chain. How important is Supply Chain?

Editorial