Our experience encompasses AI development for industries such as Finance, Energy, Manufacturing, Media & Entertainment and Technology but the advantages of AI can be applied to practically every business domain. Some of the most common use cases include predictive AI capabilities for marketing and customer service, medical image analysis in healthcare, assessing credit risks or performing churn analysis in banking, and optimizing supply chains in manufacturing etc. 

Lots of innovation-driven businesses are looking to elevate their customer service to a new level with AI-powered virtual assistants. From using chatbots to communicate and solve customer issues in their digital platforms to building AI models from scratch or tailoring the models behind generative tools such as ChatGPT to address a particular user case, our clients entrust us with their AI development needs. Our experience with generative AI helps businesses increase operational efficiency, bring cost savings or gain competitive advantage.

Some of the most popular AI development languages are Python, known for its readability qualities and large number of supportive libraries and frameworks, and R, specifically used for statistical analysis and data visualization. Some more conventional programming languages like Java and C++ are also used for developing AI applications. The most suitable choice for your business depends on your existing technology ecosystem, future scalability needs, skills of the team etc. and is a matter of discussion with your development partner.

AI development requires a range of specialists with complementary skills, including data scientists, ML and software engineers, etc. Key skills also include programming, statistics, machine learning frameworks, big data, and distributed systems. The exact composition of the team will depend on the specific goals of your project and the resources available. It's important to identify the necessary roles and skills early on and to build a diverse team with complementary expertise.