Hire AI/ML Developers

Artificial intelligence systems for data science specialize in analyzing large data sets, looking for correlations, identifying patterns, and drawing conclusions. Examples of the use of such systems to solve practical business problems include:

• Customer segmentation and marketing personalization.
• Improving efficiency in sales, marketing, or logistics.
• Detecting fraudulent credit card or sales transactions.
• Risk modeling for investments or lending.
• Creating the most relevant recommendation systems possible.
• Forecasting financial and other indicators.

This type of AI allows systems to learn and improve based on experience. It allows conclusions and connections without strict algorithms. Typically, these solutions are used for:

• Text recognition in chats, reviews, and articles.
• Processing speech, gestures, and images of users.
• Diagnosing diseases in patients.
• Forecasting human behavior and market trends.
• Classification of actions, processes, and objects.

They are complex structures. They consist of digital neurons. These neurons process huge amounts of data and produce a single result. Neural Networks can self-learn. They apply to many fields, including:

• Generating images, text, music and 3D models.
• Writing and optimizing software code.
• Classification and recognition of objects, faces, and speech.
• Forecasting weather, market changes, and disease development.
• Controlling moving objects (e.g., automobiles).
• Economic and statistical modeling.

“Software robots” perform routine tasks. They optimize business processes and employee work. Examples of such solutions:

• Personal RPA assistants (business assistants) help with work tasks. They assist with document prep, time management, and meeting organization.
• Data entry RPAs that recognize text and read documents. They automatically fill in the required fields. This is useful in logistics (e.g., customs). It’s also useful in government services and medicine (document scanning).
• RPA systems automate manufacturing processes. They control equipment and transport in factories. For example, they process and distribute parcels at Amazon and assemble iPhones.

Chatbots improve the quality of customer service by freeing employees from routine tasks. Thus, smart AI bots replace call centers, support services, sales assistants, and personal assistants, and help achieve the following results:

• Increase sales and marketing efficiency.
• Reduce the load and costs on the support service.
• Accelerate and improve customer service.
• Personalize communication with customers.

The process involves teaching software to understand and interpret visual media (photos, videos) for specific tasks. These tasks usually involve identifying and locating objects and then reacting to this information.

• Removing the background in images or videos.
• Identifying a user by face on a smartphone.
• Avatar control in games such as Just Dance.
• Recognizing criminals using city cameras.
• Detecting diseases on x-rays

Artificial intelligence technologies increase efficiency, improve service quality, and reduce costs in businesses. Companies that use AI can better compete in the market and quickly adapt to changes.