Download this ebook to learn how DataRobot and Intel® work together so that enterprises can quickly train large datasets and build production-ready machine learning models, and more.
Our report, The Business Value of MLOps by Thomas Davenport, highlights some of the most impactful benefits of MLOps tools and processes for different types of organisations. It is based on interviews with MLOps user companies and several MLOps experts.
In this ebook, you’ll see how business leaders are leveraging AI to decrease machine downtime, improve demand forecasts, and accelerate supply chain logistics. You’ll discover that AI isn’t an intimidating technology, but rather a practical tool to grow your business and change the world.
Our ebook, AI in Customer Analytics: Tapping Your Data for Success, takes a deep dive into the many ways that companies can put their AI to work for better customer success.
In our 10 Keys to AI Success in 2021 ebook, we show how organisations are overcoming hurdles and realising the enormous rewards that AI can bring to any organisation.
If you’re familiar with programming languages such as Python or R then you can use them to extend the functionality of SPSS, automate more processes and make your jobs more stable and robust. This white paper tells you how to develop such IBM SPSS Statistics extension commands.
This free white paper presents some points you should consider if you use, or plan to use, a spreadsheet to perform statistical analysis. It also describes an alternative that in many cases will be more suitable.
This white paper discusses survey research by breaking it up into a seven step process — and clearly detailing how you maximize your efforts every step of the way. At each stage, it also shows how IBM SPSS predictive analytics technology can improve your results.
This paper considers the role service quality plays in predicting customer satisfaction and customer behavioral intentions in two types of service industries: lodging and retail banking.
This white paper presents a number of typical, real world examples of predictive analytics and shows how it can be used to address key business issues, with the aim of illustrating practical ways in which analytical capabilities can be deployed in a range of different organisations.