How to Build Workflows Using Airflow for Machine Learning
In this blog, we are going to discuss Airflow for machine learning and how it can make the life of a machine-learning engineer easy when executing interdependent tasks. In a machine-learning project, we have various tasks, from data extraction to model deployment, and they can be executed by creating Apache Airflow workflows that implement machine-learning […]
On-Demand Webinar: Amplify Your Customer Experience With the Right Data Infrastructure
On-Demand Webinar Amplify Your Customer Experience With the Right Data Infrastructure Not all of your relevant customer data lives in your CRM. Watch and learn best practices for leveraging third-party data sources such as Tableau and Snowflake on the Salesforce platform to turbocharge your customer experience. Watch On Demand
How AI And Machine Learning Are Helping The Insurance Industry
Artificial intelligence (AI) is a technology that enables computer systems to accomplish tasks that would normally require human interaction. The use of AI has increased exponentially across all industries over the past several years. AI can help automate labor intensive processes, leading to lower costs and saved time. It can also be used to understand […]
4 Tips for Implementing an Effective Chatbot
By now, you’ve probably engaged with a chatbot at some point when browsing a website or using a mobile app. According to Salesforce, the number of service organizations that expect to utilize a chatbot within the next 18 months grew 136% in 2019. It’s no surprise, as it allows many of their agents to spend […]
Debunking 4 Common Myths About the Future of Data Science
IBM’s Watson was put in a particularly bright spotlight in 2011 when it faced off against the world’s two most successful game show contestants of all time on Jeopardy. When it came to the Final Jeopardy question, Watson comically gave the response “What is Toronto?????” The category was U.S Cities. Nonetheless, Watson won the match […]
Back to School: Data Analysis and Business Modeling at Butler University
Co-authored by Joshua Fleischer and Sarah Young. As businesses increase their utilization of data and the insights they gather from it, universities are realizing the need to prepare students for today’s data-driven climate. Professors toe an interesting line. In a semester’s time, they need to provide a basic academic background for data modeling and analytics […]
Why Machine Learning Models Fail… and How to Succeed
According to Gartner, only 53% of machine learning models convert from prototype to production. The statement above can also be articulated like this: 47% of machine learning projects fail to go into production. If an organization is set out to implement a machine learning solution in the first place, there can be a big chance […]
Professional Services, Elevated… and the Business Benefits of a Long-Term Approach
Data science is certainly at the top of many business leaders’ minds at the moment. It seems that almost daily, headlines announce things like the increase in the number of firms that are investing in AI and analytics, or about the trillions of dollars in “business value” that experts say will be created in the next decade […]