Innovate & Disrupt using AI
Through the right combination of data and AI capabilities organizations can now gain deep insights into both company and customer data. This opens up tremendous opportunities for customers to drive new business growth and deliver experiences to enhance customer loyalty.
Our consultants have supported clients in developing AI and Machine Learning (ML) and Deep Learning (DL) strategies to build scalable, agile solutions across multiple domains.
We can design and implement AI, ML and DL algorithms to help companies innovate and improve productivity.
AI Languages, Frameworks, Tools
- ML(Machine Learning)
- Predictive Analytics
- NLP (Natural Language Processing)
- Neural Networks
- Deep Learning
- Unsupervised Learning
Capabilities & Deployment
Machine learning is a subset of AI that trains a machine how to learn.
Machine learning models learn can identify hidden relationships in your data and generate actionable insights. We can assist you in enabling data pattern recognition tools and build analytical models to help optimize your business processes and accelerate innovation.
Deep Learning with Neural Networks
Leverage Deep Learning to perform human-like tasks, such as recognizing speech, identifying images, or making predictions. The promise of deep learning is a paradigm shift in model building, deep learning looks at layers of the data to recognize latent features of the data.
Let our data scientists help you build deep learning models with layered algorithms to learn from large amounts of data to make intelligent decisions that improve with time
AI Data Analytics Strategy & Design
Design your analytics strategy and identify the use cases and ROI based on business challenges, performance objectives and investment roadmap.
AI Implementation and Operation
Implement, manage, and optimize statistical, non-traditional machine learning and AI algorithms for predictive and prescriptive analytics, computer vision and Natural Language Processing
AI Deep Learning Solutions
Using customer data, along with speech recognition and natural language processing, retailers can predict customer preferences and needs and cut down on needless stock.
Leverage AI & Deep Learning capabilities like computer vision to improve quality and efficiencies and reduce maintenance costs
Banks can use deep learning algorithms to identify patterns in unstructured data to detect and prevent fraud. Issues reported through social channels can be swiftly identified and remedied through Sentiment Analysis
Logistics & Transportation
Deep learning and AI can track vehicles in real time, allowing hauling companies to locate and monitor the speed of their fleet in real time to improve maintenance, repairs, and operations
Health care professionals can analyze data faster and more precisely. Electronic health records can be created faster and with fewer errors, using speech-to-text with natural language processing tools.
Deep learning can help in better understanding of citizen preferences through natural language translation of sentiment. Infrastructure spend can be reduced by using predictive maintenance capabilities