Q2 in Review: Highlights and Insights From the Atrium Team
It’s been a time of immense change in business and in life for all of us. Over the past quarter, our team at Atrium has learned, shared, and worked to help organizations survive — and even go on to thrive — in our current reality. We’ve rounded up some of our biggest stories, news, and […]
Getting Started on AI Initiatives: The Do’s and Don’ts
Your business can benefit greatly from using AI and machine learning to transform your data, systems, and platforms into actionable data intelligence and insights. But it can be challenging to know how to get started with AI in the first place. What are the right questions to ask? Do you have the quality data you […]
How Do You Get Started With AI as a Business Initiative?
Whether you’ve newly started a business or are looking to improve your existing operations, you probably didn’t wake up one day and think, “I could really use some artificial intelligence.” More likely, as a manager, executive, or other business user of technology, you’re looking for ways to leverage data insights to help you make better […]
Build and Deploy a Docker Containerized Python Machine Learning Model On Heroku
Have you ever faced any trouble while deploying a machine learning model on a production system? Or what if the model is working on your machine, but when it comes to the production system or the client’s machine, it is not working or throwing unexpected errors? Here we’ll focus on an approach from building a […]
Learn From the Experts: The Consequences of Missing Data
Welcome to another post in our ongoing Expert Insights series on data quality. This series serves to illuminate common data shortcomings and their consequences. For a general overview of data quality, be sure to check out the initial post in the series. This post concludes our last post on how data go missing. For our […]
Learn From the Experts: How Data Go Missing, Explained
Welcome to another post in our ongoing Expert Insights series on data quality. This series serves to illuminate common data shortcomings and their consequences. For a general overview of data quality, be sure to check out the initial post in the series. Cloud-based CRM promises to automatically fill databases with immense volumes of data just […]
Why Add Intelligent Decisions to Your Customer Community?
Today, almost every company has a customer community of some type. For some, it’s not much more than a help desk where you submit tickets. Others might go a step further and allow you to place orders. The questions to think about are: Does your customer community help drive your business? Does your customer community […]
Integrating Custom Models with Salesforce Machine Learning
Machine learning problems can be divided broadly into two sections: Supervised. With supervised learning, we know what we want to predict. Specifically, we know what the target variable is. Unsupervised. With unsupervised learning, we don’t know what we want to predict. Specifically, we are working with raw data and do not have a specific target […]