AI is embraced by the most innovative companies Numerous businesses are capitalizing on the sheer branding value of the AI label. Most software brands, apps, and platforms you use every day are heavily and successfully reliant on data. You can join that stellar list and reap the benefits of adding ML-driven to your landing page.

AI brings a competitive advantage With many industries being stuck in the legacy stage, even the smallest AI efforts on your part will be rewarded with decreased risks and expenses and increased effectiveness and conversions. Just one automated daily task will start a chain reaction of successful innovation.

How Artificial Intelligence Works

AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data. AI is a broad field of study that includes many theories, methods and technologies, as well as the following major subfields:

• Machine learning automates analytical model building. It uses methods from neural networks, statistics, operations research and physics to find hidden insights in data without explicitly being programmed for where to look or what to conclude.

• A neural network is a type of machine learning that is made up of interconnected units (like neurons) that processes information by responding to external inputs, relaying information between each unit. The process requires multiple passes at the data to find connections and derive meaning from undefined data.

• Deep learning uses huge neural networks with many layers of processing units, taking advantage of advances in computing power and improved training techniques to learn complex patterns in large amounts of data. Common applications include image and speech recognition.

• Cognitive computing is a subfield of AI that strives for a natural, human-like interaction with machines. Using AI and cognitive computing, the ultimate goal is for a machine to simulate human processes through the ability to interpret images and speech – and then speak coherently in response.  

• Computer vision relies on pattern recognition and deep learning to recognize what’s in a picture or video. When machines can process, analyze and understand images, they can capture images or videos in real time and interpret their surroundings.

• Natural language processing (NLP) is the ability of computers to analyze, understand and generate human language, including speech. The next stage of NLP is natural language interaction, which allows humans to communicate with computers using normal, everyday language to perform tasks.

Developing AI solutions for your industry


Customer segmentation and personalization
Dynamic pricing solutions
Sentiment analysis
Demand forecasting
Intelligent travel assistants


Optimized routing and scheduling
Smart fleet and staff management
Vehicle maintenance prediction
Traffic prediction and real-time updates
Supply chain automation


Financial analytics
Credit scoring
Fraud detection
Smart advisors and personalized wealth
AI insurance


Diagnostics automation (images, sounds, signals)
Personalized healthcare
Identifying at-risk patients
AI-driven pharmaceutical research
ML for clinical data analysis


Sales forecasting
Personalized shopping and recommendations
Fraud detection
Customer support automation and chatbots
Voice assistance


Supply chain planning
Inventory management
Price optimization
Market basket analysis
Lifetime value prediction