Intelligent edge devices promise to improve both the patient and the staff experience in the hospital.  Skilled nursing staff struggle with the traditional alarm-based monitoring environments.  Medical devices and monitors generate a significant amount of noise and activity that can both be reduced or eliminated by more intelligent solutions. The American Association of Critical Care Nurses … Continue reading The Intelligent edge and tiny ML will create large improvements in the patient experience

The move to telemedicine and remote health has been dramatically accelerated in the wake of Covid-19.  Issues that have delayed deployments for years are crumbling under the weight of pragmatic risk management for providers and patients as we try to come to grips with the pandemic.  Issues around reimbursement, privacy, and parochial practice management have … Continue reading AI, cloud, mobile and reality fuel advances in telemedicine

Over the last several months the supply chain planning community has been faced with the question of how to deal with increased uncertainty as we enter the fall.  While we are adjusting to covid, we are not overcoming it.  Pandemic forces will continue to impact our business as we enter the fall and move into … Continue reading Forecasting for Fall Uncertainties

Healthcare is one of the most interesting markets when we consider the possible impacts of digital twins on traditional industry practices.  There is a wealth of use cases that go well beyond what we find in traditional manufacturing, public sector, and process management implementations. A digital twin as defined by the Industrial Internet Consortium (IIC) … Continue reading How Digital Twins Can Drive Healthcare Transformation

As we discussed last time there are elements of what we now call digital twins that reach back into the early days of industrial computing.  Data historians, PLC’s and instrumented processes have been a part of large industrial systems for some time.  Process manufacturers in energy, resources, chemicals, food, and pharmaceutical markets have instrumented the … Continue reading Digital twins can improve supply chain resilience and agility

In discussing the emerging digital twin market it is important to note that this is in many ways an evolution of a software market founded in the 1980’s and 1990’s focused on the collection of critical process and control data in many industries.  There have been several generations of software suppliers in this space and … Continue reading Digital twins – A brand new 40-year-old market

Some friends have reached out about my last post on machine learning.  Some of you expressed enthusiasm that I was embracing lifetime learning, some of you thought I was crazy.  Why is an analyst playing with tools and math?  No, I am not considering a career change to data science or going back to software … Continue reading It’s all about the Digital Twin

One of the problems with being an analyst is you get used to traveling at 30,000 feet.  You take briefings with vendors and speak with customers in the rarefied air of marketing PowerPoints and strategic plans without every spending time in the trenches.  Time on the ground is important.  If you do not actually spend … Continue reading Jumping into the deep end – Confessions of an analyst

Vaccines present unique challenges to all participants in the manufacturing and distribution process.  Vaccines are highly regulated products.  Manufacturers must prove compliance with cGMP (contemporary good manufacturing practices) and must compile a complete electronic batch record for every unit of production.  Inputs must be captured and recorded, and most importantly, a complete end to end … Continue reading The COVID-19 vaccine will test supply chains in new and unique ways

Automated Machine Learning (Auto ML) may be the essential technology required by supply chain and industrial IoT users to generate value from their IoT and digital twin investments.  Companies like IBM, DataRobot, Altryx, Google, AWS, Microsoft, Dataiku, H2O and numerous others are developing new low code and no code approaches to adding machine learning to … Continue reading Auto ML (AI for AI) will make machine learning possible for many industrial companies