A new live R Shiny application in our gallery: COVID-19 vaccination breakthroughs in Switzerland. In the past we had written a couple of articles (on 20/10/2021 and 06/12/2021) about the COVID-19 Vaccination breakthroughs in Switzerland with the promise to publish them periodically on our site. We have decided instead to make this analysis a live dashboard article integrated in … [Read more...] about COVID-19 Swiss vaccination analysis – a live app
deployment
AI Deployments in 2022: What Changed Since 2021?
AI deployments have much more running for them than just money and resources. So, if an Al deployment fails, there is a massive amount of loss not just in terms of investment but lots of effort. According toGartner, 80% of Artificial Intelligence-based deployments don't reach their final stage, while 60% of successful deployments don't make profits. So, it is essential to … [Read more...] about AI Deployments in 2022: What Changed Since 2021?
IoT Tech Expo Global 2021
The world leading IoT conference & event series will arrive at the Business Design Centre on the 6-7 September and virtually from the 13-15 September 2021 to host its fifth annual Global event. It will bring together key industries from across the globe for two days of top-level content and thought leadership discussions across 5 co-located events covering IoT, 5G, Cyber … [Read more...] about IoT Tech Expo Global 2021
An Expensive And Common Cloud Analytics Mistake
The move to the cloud is continuing to accelerate and most organizations I deal with are at minimum incorporating cloud platforms and processing into their architectures ¦ if not pressing to move largely to the cloud. While there are many advantages to the cloud, it is also necessary to use caution to make sure that the risks of the cloud are mitigated while pursuing the … [Read more...] about An Expensive And Common Cloud Analytics Mistake
Human or Machine? Two Paths for Deploying Analytics
As data science and analytics teams continue to feel pressure to deliver more value from analytics, many organizations still struggle with the processes and technology required to deploy models into production and more rapidly make data-driven decisions. When evaluating how to best undertake these activities, organizations should consider an important distinction to determine … [Read more...] about Human or Machine? Two Paths for Deploying Analytics
