Most, if not all of us, in the imaging industry realize that our industry is declining and will continue to decline. Realizing that their printer revenue, margins, and operating profits will be shrinking, printer manufacturers and resellers are looking at ways to reduce costs and to improve efficiency but doing so without sacrificing customer service. For years, as a way to prevent hardware margins from declining faster as average sales prices have declined, printer manufacturers have focused on reducing manufacturing costs to the point where there is little more that can be done on the cost side.
Office Products and Imaging Technology Providers who support users are going crazy trying to balance profitability with customer service decisions related to replacing supplies at customer locations.
Image recognition now is a hot topic in machine learning, artificial intelligence and data analysis. But what is Image recognition?
Advanced analytics is in vogue now and a lot of companies are calling themselves advanced analytics companies.
As technology improves, more and more devices are being built ‘smart’. Refrigerators are receiving weekly software updates, ovens are sending text message alerts, and even garbage cans require a Wi-Fi connection.
Do you often find yourself in the middle of an infinite data preparation, modeling and testing loop? How about utilizing the rapid-delivery agile software development methodology for your analytics projects?
As an entrepreneur that focuses on utilizing leading edge technology to improve my clients’ businesses, I am often faced with people and companies using buzzwords carelessly, with little to no substance behind their claims. Predictive analytics along with big data, IoT, etc. are all the rage, but what is real, and what is just marketing fluff?
Virtulytix, an Industrial IoT development firm based in Lexington Kentucky has announced a Software as a Solution (SaaS) based product to address a long-standing problem for the office products industry.
Being in a highly technical, complex field it is easy to sometimes lose the ‘human aspect’ of the solutions we are developing. We focus on apply edge computing concepts, or whether a seasonality model works better for our predictive accuracy than some other approach.