Al/ML Services
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Artificial Intelligence : Are you ready for the future?
Computer Vision
Image Processing
Image processing includes rescaling the image (also known as digital zoom), correcting the illumination, and changing the tones, sharpening.
Generative AI
Generative AI can be used to generate human-like text, including creative writing, storytelling, and even chatbots. It can be used to augment existing datasets by generating new samples to train machine learning models effectively.
NLP
NLP has diverse applications across industries, including sentiment analysis, text classification, machine translation, question-answering systems, speech recognition, and text generation.
AI/ML Frameworks
some popular frameworks like – TensorFlow, Pytorch, Keras. they offer various functionalities, such as handling data preprocessing, implementing various algorithms, and optimizing model performance.
Technology Solutions
To deliver AI-driven applications
Capabilities
Machine Learning & Pattern Recognition
Building a solution involving machine learning is much more than the model. It is a complex mix of data structures, model training, model integration and architecture. We engage in end-to-end delivery of a machine learning solution tailored to bring product features to life.
Natural Language Processing
There are many NLP APIs and services available today. Some of these services could give 80% accuracy on extraction tasks involving generic data. However, to solve really hard problems involving natural language understanding, especially with proprietary and small data sets, we need to skillfully use machine learning techniques along with traditional NLP algorithms.
Computer Vision & Image Processing
Deep learning techniques have given a fillip to computer vision and image processing solutions. However, training models for proprietary and domain-specific data sets is a challenge. We find innovative ways to transform the domain-specific part of a problem into a generic computational problem in order to deliver practical solutions.
Mathematical Optimization
Optimization algorithms are the foundation of modern-day machine learning. However, there is a rich history dating back to many decades. We strive to use these fundamental algorithms to deliver solutions to problems involving allocation, balancing, routing.
Prominent IT Security Services
Machine Learning Building models to increase your revenue
We empower you with the most advanced machine learning capabilities from Google, AWS and Azure. Quickly and easily build, train and deploy your machine learning models using tools. Optimise and accelerate ML inferencing and training. Develop models faster using automated machine learning. Easily deploy at scale with Kubernetes. Manage your ML models across the cloud and the edge.
Knowledge Mining Monetize your digital assets
Automations via BOTS Save cost, bring efficiencies
Uncover latent insights from all your content— documents, images and media – with AI-driven Cognitive Search. Using the only cloud search service with built-in AI capabilities, discover patterns and relationships in your content, understand the sentiment, extract key phrases and more.
Automations via BOTS Save cost, bring efficiencies
We deliver breakthrough experiences in your apps with Cognitive Services and Bot Service. Access industry-leading AI models that are being used today by millions in products. Customize these models with your own data and deploy anywhere. We provide you with battle-tested AI capabilities.
FAQs
What is AI, and how does it differ from machine learning?
AI (Artificial Intelligence) is the broader concept of creating machines capable of performing tasks that typically require human intelligence. Machine learning is a subset of AI that focuses on training machines to learn from data and make predictions or decisions.
What are the main applications of AI and machine learning?
AI and machine learning are used in various fields, including healthcare, finance, autonomous vehicles, natural language processing, and recommendation systems.
What is deep learning, and why is it important in AI?
Deep learning is a subset of machine learning that uses artificial neural networks to model and solve complex problems. It is essential because it has achieved remarkable success in tasks like image and speech recognition.
How can I get started with AI and machine learning?
To start, you can learn programming languages like Python, study online courses, and experiment with AI frameworks like TensorFlow and PyTorch.
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