Data brokers and personal data collection continues to cross ethical lines. But there are bright spots - including supply chain data sharing startup Aperity. I talked with their CEO about how their approach is different, and why AI and machine learning play a crucial data processing role.
When model drift becomes a deluge - the Coronavirus pandemic wreaks havoc with data science and ML models
All predictive models are wrong - but some are very wrong. How did we wind up in the predicament of flawed Machine Learning models, just when we need them the most?
The technical realities of functional quantum computers - is Google’s ten-year plan for Quantum Computing viable?
Google's quantum computing exploits have garnered plenty of attention in recent months. But how might they apply this commercially? A contrasting technical view comes by way of Itamar Sivan, CEO of Quantum Machines.
This year, Hitachi Vantara's DataOps NEXT event went virtual. Here are the themes that made an impression - including Lumada's AI pursuits.
Far from being a cure-all, telemedicine brings a whole new set of pros and cons. The barriers are not insignificant. However, a review of telemedicine adoption in the U.S. and beyond provides a good incentive to press forward.
Yes, supercomputers are fast. But can high performance computers can provide something unique in the fight against Coronavirus? Here's how supercomputers have evolved, and a view of the COVID-19 work underway.
In the U.S., regulatory pressures and per-state requirements have kept telemedicine at a standstill. Emergency relaxation of telemedicine guidelines have changed the picture for now - but will it lead to lasting change?
The push for COVID-19 treatments has stoked the fires on big questions about the US pharmaceutical industry, including drug pricing and conflicting data on drug effectiveness. Here's my unvarnished take.
The ethical questions raised by AI-powered surveillance are numerous. Athena Security has some thoughtful answers - but what happens when we extend those capabilities into thermal heat detection?
Is the gap between data scientists and business analysts something the Alteryx platform can bridge? Here's Alteryx CEO Dean Stoecker's view - and my critique.
Can we draw algorithmic lessons from our immune response? How do leaders cope with anxiety? Does treating anxiety as an algorithm help us to shift behaviors? I explored these questions with startup executive Adam Goldstein.
Applying Machine Learning to Coronavirus data is tempting - but deeply problematic. DataRobot shared lessons on working with smaller data sets, but the predictive limitations of ML for assessing pandemics go much further.
Despite shiny new AI and data science tools, the problem of data integration at scale hasn't gone away. But promising new approaches from vendors like StreamSets and FlureeDB are worth a closer look.