Transform your user experience with artificial intelligence.
AI & machine learning
The use of AI is rapidly accelerating in every industry. While its revenue potential was previously exclusive to Big Tech, AI is now within reach for companies of all sizes. From marketing personalization to supply chain management, the application of AI and its subset, machine learning, are enabling businesses to comb through high volumes of data to unlock insights and opportunities for a competitive advantage.
60% of business and technology leaders have already implemented an ML strategy.
Our machine learning applications
Our team of AI developers brings deep experience in machine learning. From startups to unicorns, we develop machine learning applications for companies of all sizes, specializing in the following:
Personalization
Show your users that you understand them. Apply personalization to your app, streamlining your user’s interactions with a dynamic user experience. Machine learning can help you accurately and scalably implement a one-to-one user interface that is unique to the individual.
Recommendation engines
Recommend the content, products, or options that your user is most likely to select. Recommendation engines combine personalization techniques and previous user actions to make suggestions with which your users will interact.
Automated user interactions
Learn from your user’s actions, and automate their next step for them. This could range from pre-filling form fields to pre-generating dynamic designs. Simplifying the user workflow in your app will help you stand out in a crowd.
Our machine learning process
AI & ML capabilities at Digital Scientists
Digital Scientists is a Google Cloud Partner. Our developers are Google Cloud certified, with professional certifications spanning key technical job functions and validated expertise in design, implementation, and management.
We bring a senior-level team of developers to every AI engagement, offering a wide range of capabilities within AI to solve your most challenging business use cases. Our cross-functional team of developers, designers, and product managers follows a standardized process developed by Google to apply capabilities in:
- Machine learning
- Minimum viable model
- Natural language processing (NLP)
- Image recognition
