Artificial Intelligence & Machine Learning (AI-ML)Consulting
Our RPA development experts integrate standardized business processes with automation frameworks. We use cognition-based technologies like AI, matching learning (AI-ML) to create high-functioning tools.
Full-Stack AI-ML Services
AI-Based Model Deployment
Transform business models or application intelligent flow using our AI and ML-based algorithms. Enable accurate performance testing with:
- TensorBoard dataflow
- MLPerf performance testing
- TensorFlow playground web app
Business Data Optimization
Manage structured and unstructured business data with supervised or semi-supervised machine learning algorithms and frameworks including:
- Decision tree-based data processing
- Powerful NLP data organization
- Data Anomaly Detection
Enhance customer experience by integrating cognitive computing solutions with your business. Grow customer reach by our cognitive offerings:
- ML-based visual recognition
- Accurate language translation
- Predictive speech and text models
AI-Based Sales Analytics
Identify and leverage business opportunities by processing data with data intelligence algorithms. Strengthen your sales team with our:
- Smart customer use cases
- A-driven lead nurturing
- Automated invoicing and management
Enhance customer experience by implementing a personalized user interface. Understand your customers better and upscale with our:
- AI-based personalized landing pages
- Intelligent virtual support
- Chat-bot oriented sales assistance
Smart Digital Marketing
Leverage deep-learning concepts to create high conversion marketing campaigns that bring enhanced ROI. Promote your services better with:
- AI-driven sales pages creation
- Data-driven smart experimentation
- Self-learning use case models
Our AI-ML Services
We offer intelligent voice-based virtual assistance for your business. From giving accurate answers to user’s queries to booking tickets, we can integrate virtual assistance in every business process.
Uplift customer experience with our conversational voice or text-driven interactive chatbots. Reduce operations costs without losing human-like on the point query answering platforms to build more trust.
We develop self-learning inventory and supply management systems for streamlining complex human work. We bring powerful forecasting systems that help in handing the supply chains in a better way.
Help your customers choosing the best products for them with our recommendation engines. Boost sales by offering AI-based personalized shopping suggestions and learn about buying patterns in a deeper way.
Integrate your business support with Google Home or Alexa device to serve your customers 24×7. Our NLP frameworks bring an accurate and quick response system to enhance user experience.
The difference between AI and machine learning?
Artificial intelligence and machine learning are very closely related and connected. Because of this relationship, when you look into AI vs. machine learning, you are really looking into their interconnection.
What is artificial intelligence (AI)?
Artificial intelligence is the capability of a computer system to mimic human cognitive functions such as learning and problem-solving. Through AI, a computer system uses maths and logic to simulate the reasoning that people use to learn from new information and make decisions.
Are AI and machine learning the same?
While AI and machine learning are very closely connected, they are not the same. Machine learning is considered a subset of AI.
What is Machine Learning?
Machine learning is an application of AI. It’s the process of using mathematical models of data to help a computer learn without direct instruction. This enables a computer system to continue learning and improving on its own, based on experience.
How are AI and machine learning connected?
An “intelligent” computer uses AI to think like a human and perform tasks on its own. Machine learning is how a computer system develops its intelligence.
One way to train a computer to mimic human reasoning is to use a neural network, which is a series of algorithms that are modeled after the human brain. The neural network helps the computer system achieve AI through deep learning. This close connection is why the idea of AI vs. machine learning is really about the ways that AI and machine learning work together.
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