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.
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.
By offering Data Science services, TA helps companies realize the true value of their data. With a focus on predictive analytics, we assist businesses in predicting future trends and arriving at informed decisions. Unstructured text can be turned into valuable information using our natural language processing skills for sentiment analysis and improved customer interactions. Use data modeling and simulation to create real-world scenarios that forecast behaviors and improve strategies. By applying machine learning algorithms, you can automate processes and uncover hidden patterns to boost productivity and stay competitive.
Optimize your data with TA's scalable engineering services. Create strong pipelines for smooth data collection, storage, and real-time analytics. We design effective data architectures that make storing, retrieving, and processing information easy and efficient. Our automated ETL processes ensure that data flows well from different sources, turning it into valuable insights for better decision-making. With real-time data processing, you receive instant updates and can respond quickly to changing business needs. We also build and optimize data warehouses that manage large amounts of structured and unstructured data.
With powerful data visualization tools, we simplify the process of making decisions for customers by transforming complex data into clear, interactive dashboards and visual reports. Our custom dashboards provide clients with a comprehensive, user-friendly view of all their data in one location. With real-time KPI tracking, you can monitor what matters most for your business at any time. We simplify complex insights into understandable visuals through data storytelling. Customers can confidently drive innovation, identify trends, and uncover new opportunities by utilizing these business intelligence tools.
Use AI and machine learning development services to create smart systems that grow and adapt with your business. We focus on developing custom AI models to fit your needs, ensuring that each solution works well. By implementing and improving machine learning algorithms, we improve accuracy and efficiency, helping you get the best results from your data. We keep system performance strong by deploying our AI models and ongoing optimization. Our solutions blend easily with your existing systems, reducing disruptions. You can automate tasks, predict outcomes, and reach new levels of productivity and innovation.
By employing the latest AI models to create, automate, and customize like never before, TA’s Generative AI Consulting helps you in discovering new avenues for innovation and growth. We help companies at every stage, from investigating potent models like GANs and Transformers to selecting the one that best suits their objectives. You can use our unique solutions to automate the creation of text, images, and videos, which saves time and lowers the cost of production. While automation and optimization reduce costs and streamline workflows, our AI-powered personalization creates distinctive user experiences at scale.
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.
Healthcare
Sports
Pharma
Financial
Retail and E-Commerce
Entertainment and Gaming
Logistics and Transportation
Manufacturing
The client wanted to eliminate the background of the car video. Using convolutional network model, we replaced the car's background with white. We trained the model with U-net architecture, alpha matting and edge trimming to get rid of blurry backgrounds, bad lighting and dark vehicles.
The goal was to capture a dancer's monocular motion. Our motion capture approach uses a monocular video of a person to create an avatar in UNITY. The motion capture transformed a person's movements into a UNITY avatar tracking and analyzing object or person movement.
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.
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.
