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 […]
The Right Data Drives an Intelligent System: Here’s How to Get It
Businesses that depend on AI often begin with data quality problems. How do you break from common patterns of data inadequacy to realize an intelligent experience?
Improve Business Outcomes with a Data Strategy
“Strategy” is the plan of action designed to achieve an overall or long-term goal. Unlocking the true potential of an organization’s data becomes a challenge when there are no goals defined. A data-focused strategy can help in overcoming these challenges. Not All Data is Created Equal Organizations capture their sales data, customer data, and other […]