Our Approach to Automation - Start Small Automation to compensate for an employee shortage Help Wanted! Signs are up everywhere, as employers are building their production back up. But finding qualified employees is difficult right now. Are you spending time trying to figure out how to accomplish more, with less staff? Regardless of the industry you are in, this is a great time to look into automation through AI/ML. Where do I start with the Automation process? One of the most common questions we get from clients is where to even get started as that task can often seem daunting. [...]
The COVID-19 Butterfly Effect Without question, COVID-19 has had massive effects on data. There are obvious changes that we see reported in the news – hospital revenues down, commercial air travel is down, etc. But each of those changes can create longer term changes in the data that analyst and data scientists will rely on in the future. In this blog, we will review the COVID-19 “Butterfly Effect” and how we can “cure” our COVID-19 data woes. The COVID-19 Butterfly Effect Almost daily we see stories around the effect of coronavirus in hospitals. ERs and ICUs are full of patients. But with the increase in coronavirus cases, we also see a decrease in the volumes of [...]
2020 Data Science Boot Camp – Sponsored by NLP Logix (not pictured - Alicia Panchal and Tah'Liek Brunswick) What do Australian Rainfall Predictions, NFL Win Probabilities, and Airline Satisfaction Models have in common? These were all research topics chosen by this year’s Data Science Boot Camp participants, sponsored by NLP Logix. This five-week program allowed students from local high schools to work together under the guidance of some of our experienced data scientists to learn the basics of analytics and machine learning. The teams were then able to put what they learned to use by tackling real-world issues with predictive modeling. At the end of the program, the students presented their models [...]
Over the last 9 years, we’ve worked on hundreds of AI/ML projects with our clients. The vast majority of these projects turned out to be very successful, but we have certainly made mistakes along the way. Lots of them. We’ve learned from every one of these mistakes so we don’t do it again. From issues with the data, API’s, building ML models and getting them into production, we’ve messed up. However, over time, these lessons are invaluable in our success in delivering value to our clients. Quite simply, we’ve already made the mistakes so our clients don’t have to. Here are our Top 5 Lessons Learned over the years. 1. Data Issues [...]
Let your data guide you in making important marketing decisions. The marketing industry has transformed over the last few years to become more technology-enabled, where marketers are asked to be also play the roles of Data Analysts, Strategists and Business Development Managers. So how can marketers leverage the data that they already have to enable them to lead the way? Before you develop a Marketing Analytics road map, it's critical to understand the basics. Here are a few necessary components to your plan that you must determine before you set out on your Analytics journey.What data do you need to measure? What key metrics will you measure for [...]
If you were to ask most staffing managers and executives how their teams are performing, most can give you precise numbers of their weekly gross profit, monthly direct-hire fees and average margins, but many have a hard time giving specific details around some of their teams performance metrics. There are a list of Key Performance Indicators that Staffing Managers should be looking at - Time to Submit, Time to Fill, Submit to Hire Ratio, Cost to Apply, Cost to Place, and several others important metrics. One reason why many managers do not have a clear picture of these metrics is that the data can sometimes be hard to track depending on [...]
Predictive analytics provided by NLP Logix will deliver invaluable analytics to empower Miller Electric to effectively manage their growing fleet of vehicles.