Hanna Kleinings

Keeping customers happy is a must—find out how AI could help you take your customer service to the next level.

Learn how to implement AI in the financial sector to structure and use data consistently, accurately, and efficiently.

In this article, we’re showing you how to leverage no-code AI for NPS and customer tickets to drive growth through data-driven business decisions.

Learn how to optimize your employee onboarding process through implementing AI automation, saving costs and hours of productive time.

The definitive, yet easy-to-understand guide to Natural Language Processing (NLP) - how it works, techniques, and NLP's possibilities and limitations

An introductory guide to starting your organization's journey into no-code ML with smart automation that helps you reach new heights of productivity

A comparison of Lobe vs. Levity - no-code Machine Learning tools that deal with classification tasks

An overview of the varied applications of Artificial Intelligence for business today, including in Sales, Customer Support, Accounting, HR, and more

Understanding the concept and application of Continuous Machine Learning (CML) and how it fits within the broader disciplines of CI, CT, and CD

What is Text Analysis & how can businesses utilize no-code Text Analysis tools to obtain powerful & actionable insights? Everything you need to know

What is data extraction and is it always the answer? Find out about tools and techniques for data extraction and a no-code alternative.

Defining the difference between a workflow vs. process - and figuring out which intelligent automation solution is best for your company

Learn how to apply Data Classification by understanding the various types of classification to automate tasks and use your data potential fully

What is the difference between data science vs Machine Learning vs AI? Find out how they work and which is right for your organization

Wondering what AIaaS is and what advantages it brings? Check the one and only guide to AI as a service.

Let's get clarity on the differences between structured, unstructured, and semi-structured data - and what you can actually do with these!

Wondering what the differences between IPA, RPA, and AI are and how they support productivity and growth? Look no further.

While companies are still trying to realize Industry 4.0, the combination of machine-human decision-making is posing new challenges to leadership.

Working from home does not equal working remotely, even if they overlap significantly and pose similar challenges – remote work is also a mindset.

SMEs can leverage AI technology for productivity gains without coding knowledge - and tap into productivity gains & cost savings. Here's how.