Digital disruption and proliferation has multiplied communication and engagement in businesses. As a competitive asset, data is key to differentiating your company from the rest of the pack. Our big data consulting and engineering services can help your company improve decision-making, accelerate innovation, enhance the customer experience, and drive operational efficiency.
Based on the data, we build custom AI models that simplify decision-making. Outsourcing big data analysis to artificial intelligence, prevents human error, improve business efficiency and cut costs. Our deep technological expertise in Machine Learning and Artificial Intelligence development services can help you make precise predictions, gain deeper insights from your data, minimize operational expenses, and enhance customer experience. At TA, we are committed to providing the best-in-class Artificial Intelligence and Machine Learning development solutions to assist you at every level of your digital transformation journey.
Our AI and ML Development Services
For more than two decades, we have been at the forefront of artificial intelligence and machine learning development, with experience in AI/ML, predictive analytics and Natural Language Processing (NLP). Our innovative development team designs intelligent AI/ML solutions that can take your business to the next level providing out-of-the-box solutions to problems, automate tasks, and achieve superior outcomes. Our in-depth practical knowledge of the most recent AI/ML technologies enables us to provide a comprehensive suite of AI/ML services to provide scalable custom solutions to empower clients to tap into new market segments, to streamline your business functions and add intelligence to your enterprises workflow.
Geospatial Data Analytics
3D Motion Capture
Image Classification
Chatbot Development Services
Facial Recognition
Recommendation Engine
NLP-based Sentimental Analysis
Object Recognition
Interpreting IoT data in Real-Time
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Our dedicated and passionate team are skilled in the next-generation cutting edge tools and technologies, can assist your business in achieving its objectives and enhancing its efficiency.









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FAQ
AI is basically a way to give machines human-like intelligence. As the words "artificial" and "intelligence" show, "artificial" means "made by humans" and "intelligence" means "to think or understand." So, AI basically means teaching machines how the human brain works and what it can do. AI can be found in things like Google's predictions, Uber's autopilot messages, and so on.
Machine Learning is the subset of Artificial Intelligence that lets machines learn and get better on their own, without any help from humans. The recommendations you get on music and videos on streaming apps are a very good example of ML, virtual personal assistants like Alexa, Siri are also good examples of ML.
Deep learning is a type of Machine Learning, which is based on the way the human brain filters through information. DL helps a computer sort through and filter information so that it can predict and classify it. The caption generators, image analysis tools that you often use are examples of DL.
Python is the best and most used programming language for AI and ML due to its ease of use and the fact that it has well-written libraries such as Tensorflow and pytorch.
"Artificial intelligence" is one of the most popular buzzwords you may have heard. AI is the process by which machines learn to think like people. AI is based on the idea that machines can mimic human intelligence and do tasks in the same way that humans do. This lets machines learn from experience, adapt to new information and do tasks just like humans.
Artificial Intelligence is an umbrella discipline that encompasses everything that makes machines smarter, so it's not surprising that people frequently use the terms interchangeably. AI is the branch of computer science that enables machines to mimic human intelligence autonomously. Machine Learning, on the other hand, refers to an AI system that can automatically self-learn from the past by intaking data and learning things that would be difficult for humans to learn without explicit programming. The purpose of machine learning is to enable machines to learn from data and provide accurate results. Facebook's auto-tagging suggestions and Google's search algorithms are some applications of ML.
You must live under a rock if you haven't heard of AI, ML, and data science. With the rise of Industry 4.0, these terms are becoming very common. Artificial intelligence, machine learning, and data learning are all related terms that belong to the same field. Let's look at them one by one.
Artificial intelligence is a broad field of computer science that gives machines intelligence that is similar to that of humans. The main goal of AI is to make systems that can work on their own, like the human brain.
Machine learning is based on the idea that you can give machines data and let them learn on their own without any help from a person. Machine learning is all about computers finding patterns in the data they are given, just like people can find patterns in data sets.
Data science is an umbrella term for the study of data systems and processes, with the goal of keeping track of data and figuring out what it all means.
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