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Computer Vision in the financial sector
Artificial Intelligence (AI) is becoming smarter and smarter every day. The sophisticated algorithms have gone from using huge computers to recognize pictures of cats, to now being able to use your face as a password for your phone.
Churn prediction in financial companies: How to get started
Satisfied customers are the foundation of most businesses. They generate a steady stream of income and are more open to upselling. At the same time, studies show that it costs five times as much to acquire a new customer as it does to retain an existing one. Therefore, it is important to focus on ho...
Five tips for getting Machine Learning into production.
Do you also have a feeling that your data contains more potential than your company is currently harvesting? Being able to extract deep insights from data or automate manual tasks with a data application often relies on Machine Learning as part of the foundation.
Responsible AI
This blog post takes you through three important focus areas regarding ethics and responsibility in AI solutions.
Technology and technical skills fail in the absence of purpose.
AI has enormous potential, and we see both willingness and visions of being more "data-driven" and leveraging data optimally. However, the good intentions to stay ahead with intelligent AI solutions are often met with the same challenge: How do you actually create value with AI? Read the blog post a...
What is Explainable AI?
In this blog post, we will take a closer look at what explainability means within AI, as well as the types of information that can be extracted from AI/ML models.
How to get AI out of the sandbox
Today, the door to AI is open for all businesses, but few are able to fully exploit the technology. In this blog post, you can read about the three primary reasons why AI often remains a toy in the sandbox - and our recipe for how you can get the full potential of AI across your organization.
Master Data Management: Governance – Organization, Roles, and Responsibilities
Master Data Management: Governance – Organization, Roles, and Responsibilities
In the last blog post, we talked about master data governance with a focus on data and the policies and guidelines that your organization must follow to ensure coordinated and systematic use of master data. In this blog post, we will talk about the other part of MDM governance – your organization, r...
Master Data Management: Governance – Data & Compliance
In a previous blog post in our MDM series, we have discussed how master data is collected, modeled, cleaned, quality assured and shared for operational and analytical purposes. In this blog post, we will talk about how to ensure that the data you share in your organization lives up to your internal ...
Demo: Learn about Tabular Editor
Demo: Learn about Tabular Editor
Are you a Power BI user or do you work with data modelling in Analysis services? Then take a look as Daniel Otykier gives a thorough introduction to his tool, Tabular Editor. It’s four hours of learning that can save you countless hours of work.