Data Science, Machine Learning & AI
Loads of people may think that artificial intelligence (AI) and machine learning (ML) sound a bit too futuristic. But in many ways our AI future is already here. Voice and facial recognition, automatic translations and even the order in which your Netflix series present themselves are all examples of artificial intelligence in your daily routine.
We want to help you embrace all the super cool benefits of AI. Our team can help you to find out where and how to employ AI and ML in your digital business. Our data scientists have broad experience in developing solutions that help you make better business decisions and save time simultaneously. We build and develop algorithms that detect patterns in raw data specific to your business, and that are able to embed analytics deep into the heart of your organization.
How can we help
The way we approach machine learning situations at DEPT® is a combination of disciplines and skill sets. First, we help you to create an easily accessible, scalable, clearly structured data warehouse. Our in-house machine learning experts develop the tools that have the ability to analyze extremely large sets of data and present them via understandable analytics. Data scientists and developers then build predictive models with self-learning algorithms, based on data that is relevant to your business. Our development teams know how to translate this all into innovative digital projects like smart chatbots that use machine learning to improve customer service.
Moreover, we believe that you can’t ignore intelligence in today’s digital marketing campaigns. It helps you to identify and target people who are most likely to be a good fit with your business. To decide which channels are most effective. You are able to serve them highly relevant, personalized content like an email filled with content they could be interested in, or products they might like to buy in the “recommended products” section on your website. It can even help you with product pricing strategy by taking factors such as customer segment, season, and competition into account.