Artificial Intelligence Consulting Services

Artificial Intelligence Consulting Services2024-04-01T10:08:57+01:00

The essence of developing software with Artificial Intelligence capabilities

Software development with AI capabilities involves creating new software or evolving existing software to provide users with AI analytics results (e.g. demand forecasting) and/or trigger specific actions based on them (for example, blocking fraudulent transactions). Powered by artificial intelligence, an application can automate business processes, customize service delivery, and generate company-specific insights.

Use Cases for AI-Enabled Software in Custom Software Development

As a bespoke software development company, we understand that AI-enabled software can offer numerous benefits to clients across various industries. Here are some scenarios where a client can leverage AI-enabled software to their advantage:

Data Analysis and Insights

AI-enabled software can analyze large amounts of data to extract valuable insights and patterns, empowering data-driven decision-making.

Process Automation

AI can automate repetitive tasks, freeing up human resources for more strategic activities, using technologies like robotic process automation (RPA) and natural language processing (NLP).

Personalization and Recommendation

AI can provide personalized recommendations and suggestions based on user behavior and preferences, enhancing customer experience and engagement.

Predictive Analytics and Forecasting

AI algorithms analyze historical data to make accurate predictions and forecasts, useful for financial forecasting, inventory management, and resource planning.

Image and Speech Recognition

AI can analyze images and videos to identify objects, faces, or features, and can also process speech for transcription, voice assistants, or sentiment analysis.

Fraud Detection and Security

AI can detect and prevent fraud or security breaches by analyzing data for suspicious patterns or anomalies, benefiting industries dealing with sensitive information.

Natural Language Processing and Chatbots

AI-powered NLP enables software to understand and process human language, allowing for the development of chatbots, virtual assistants, and automated customer support systems.

Roadmap: software development with AI capabilities

The development phases, in duration and development, will depend on the scale and specifications of both the basic software functionalities and the artificial intelligence consulting services with which you want to equip it.

Talents required for developing software with AI capabilities

The roles required in a software development project with an AI component are different based on the objectives and scope of the project. The most important roles include:

Procurement models of developing software with AI capability

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Cloud services to accelerate the development of software with AI functions

AI platforms facilitate the process of quickly configuring, automating, and managing each phase of AI module development with pre-configured infrastructures and workflows. Universoftware recommends evaluating the platforms of the main cloud providers: Amazon, Microsoft, and Google. All of them are leaders in Gartner’s Magic Quadrant for Cloud AI Developer Services and offer Integrated Development Environments (IDEs) with the following capabilities:

  • Automated model tuning.

  • Custom modelling with R/Python and supported frameworks (TensorFlow, PyTorch, scikit-learn, and others).

  • Model performance monitoring.

  • Advanced security.

  • Detection of bias, explainability characteristics, etc.

  • Autoscaling of compute resources.

  • AI workflow orchestration and management.

Some of the standout features of the platforms are described below:

Price factors of software development with AI capability

The cost of AI-based software can change depending on the circumstances:

  • A more complex AI-based solution that processes data of various types and from numerous sources with an advanced ML algorithm and requires high-precision skills (as it is critical to business processes) can cost £ 500,000- £ 650,000.
  • For example, an AI-based solution that automatically extracts unstructured data from different sources classifies it using a modestly complex ML algorithm and delivers output in batches can cost £100,000- £200,000.

The estimates are calculated on the specifics of the development of the Artificial Intelligence module:

  • AI maintenance price (AI operating in an evolving data environment, for example, feeding on dynamic user data, needs regular training).

  • Complexity of ML algorithms.

  • Type of distribution.

  • Infrastructure costs.

  • Data type (working with unstructured data is more expensive than structured data).

  • Data quality (issues in data require more resources for cleansing).

  • Data source (may need to purchase external data) and if it needs labelling67uy (mark data samples with desired output).

  • Accuracy rate required for AI (the higher it is, the more time and skill it takes to optimize the ML model).

  • Volume of data used for AI and number of data sources to process.

Professional services for AI-powered software development

Universoftware applies its experience in software development and data science to create solid software with AI capabilities.

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