Why Qlik?

Integrate, transform, analyze, and act on data

Learn MoreWhy Qlik?

Featured Technology Partners

Data Integration and Quality

Build a trusted data foundation

Learn More

Analytics

Take action with AI-powered insight

Learn More

AI/ML

Maximize the value of your data with AI

Learn More

All Data Integration and Quality Products

Find a partner

Get the help you need to make your data work harder

Learn MoreFind a partner
Qlik blog post titled "Which AI Should I Use? A Guide for Enterprise Decision Makers" by Nick Magnuson, Head of AI at Qlik.
Executive Insights and Trends
Which AI Should I Use? A Guide for Enterprise Decision Makers
Unlock the full potential of AI by understanding the distinct powers of predictive and generative AI—empowering your organization to make smarter decisions.
Read More
View All Blogs
A person uses a smartphone and writes on a graph on a screen, representing financial data analysis, with colorful stock market charts and numbers in the background.
CUSTOMER STORY
Intuit Simplifies Analytics with a Company-wide Portal
Read More
View Customer Stories
White calendar icon with a star in the center on a blue background with green and teal contrails.
Trade Events
Gartner IT Symposium
Learn More
View All Events
View All Resources
A blue book cover titled "Glossary" with circular graphic design elements in shades of blue and green.
Glossary
AI Analytics

AI analytics refers to the use of machine learning to automate processes, analyze data, derive insights, and make predictions or recommendations.

View In Glossary
Go To Glossary
Headshot of blog author Nick Magnuson. He has short brown hair and is wearing a black suit jacket and a white shirt, smiling at the camera.

Nick Magnuson

Nick is the Head of AI at Qlik, executing the organization’s AI strategy, solution development, and innovation. Nick joined the company through the acquisition of Big Squid where he was the firm’s CEO. Nick has previously held executive roles in customer success, product, and engineering in the field of machine learning and predictive analytics. A practitioner in the field for over 20 years, Nick has published original research on machine learning and predictive analytics, as well as cognitive bias and other quantitative topics. Nick received his AB in Economics from Dartmouth College.