IOT, AI & MACHINE LEARNING

IOT

THINQOR has the capability, focus and skill to provide you uncompromised IoT expertise into the client’s business, should you make your products smarter, keep your products safer, or create the next innovation in IoT… THINQOR is here to ensure you have the resources required to make your ambitions a reality.

AI & MACHINE LEARNING

Accelerates the process of building, deploying, and scaling enterprise solutions. AI & ML technologies enabling fact-based decision making, accelerating automation of complex enterprise processes, and continuously gathering feedback to nurture and enhance the strategic and operational knowledge.

Take your business to the next level with intelligence on historical & real-time data.

The world is getting smarter, and automation has grasped all the attention. AI and ML are the critical aspects of making your application work smarter and faster. Every enterprise is investing in this to get accurate and better results. It facilitates data which can be easily later studied for a better future. Both AI and ML are disciplines of Data Science. Both artificial intelligence and machine learning go hand in hand.

With Artificial Intelligence services & Machine Learning services, you can predict the business problems before they happen.

What is Artificial Intelligence?

Artificial Intelligence (AI) helps companies do more with less by automating extraordinary, but manual and time-consuming tasks. AI is mostly used to extract new insights, transform decision making, and drive improved business outcomes.

We streamlined the process of development covering each and every aspect of designing to development, from testing to maintenance, we take care of it all.

What is Machine Learning?

Machine Learning (ML) is a scientific study of statistical models and algorithms which is helpful to the computer systems in performing specific tasks. ML is an application of AI which helps systems to learn and improve from experience without being programmed.

THINQOR SOLUTIONS – An Innovative and Fast Leading Artificial Intelligence (AI) & Machine Learning (ML) Development Company

At THINQOR SOLUTIONS, we have a team of expert AI and ML Engineers and data scientists to help you transform your traditionally operating system into modern and intelligent systems. If it helps to build up data storing architecture which can be used for data visualization, prediction, and decision making. At THINQOR, can create fault tolerance and highly automated systems using AI and ML. It has explored various domains like manufacturing, healthcare, logistics, and many more.

Our AI & ML Development Process

With the development of technologies and the increasing popularity of it, we can find data everywhere. Every character of data can be meaningful. Therefore, at THINQOR, we diligently collect all the information from your sources.

We follow a standard AI & ML development process to help you grow your business.

Why Choose Thinqor Solutions For AI & ML Development Services?

Using AI & ML techniques, many businesses hit their business growth. At THINQOR, our team of data scientists will guide you in developing unique and user-friendly services for your clients.

  • 24*7 Support:
    Our team regularly assists all the customers and instantly responds to any customer query.
  • Top Experts:
    We have a team of skilful AI & ML developers who works on the latest techniques of AI & ML.
  • Operations:
    We manage the streamlined process that fastens your business operations.
  • Cost & Time Effectiveness:
    Our data scientists help us to provide quality AI & ML solutions by cutting down expenses and time for our clients.
Tools & Technologies We Use
  • AI-One

    It a tool that allows developers to build intelligent assistants within the software applications.

  • Google AI

    Google AI assists data scientists to find datasets stored in repositories across the web easily.

  • Deeplearning4j

    It is a deep learning programming library by Java and is compatible with any JVM language.

  • TensorFlow

    TensorFlow is an open-source machine learning platform. It has libraries and community resources that allow researchers to push the state of the art in machine learning.

  • Apache Mahout

    It produces free implementations of distributed machine learning algorithms that are primarily focused in the areas of classification, collaborative filtering, and clustering.

  • PyTorch

    Being an open-source machine learning library, PyTorch is used for applications such as natural language processing.

  • OpenNN

    It is a software library that implements neural networks.

  • Weka

    It is a collection of machine learning algorithms that are used for performing data mining tasks.

  • Amazon Web Services

    AWS offers scalable, reliable, and inexpensive services for cloud computing.

  • H2O

    It is a fully open-source, distributed machine learning platform with linear scalability.

  • PredictionIO

    PredictionIO is a machine learning server that allows developers and data scientists to create predictive engines and build smart applications for machine learning.

  • KNIME

    It is an open-source reporting, data analytics, and integration platform.

  • Colab

    It is a research tool by Google for machine learning education.

  • Scikit Learn

    It is the most useful machine learning library in Python. Scikit Learn consists of a lot of valuable tools for statistical modelling and machine learning.

  • Keras.io

    It is an open-source neural network library.

  • Shogun

    Shogun, an open-source machine learning library, offers data structures and algorithms for solving machine learning problems.

Benefits Of AI and ML Development

Let us have a look at the most significant advantages of the AI and ML Development:

  1. Data Lakes

    Data Lakes gives your organization access to more critical data for training without straining the in-house resources of your organization.

  2. Easy Spam Detection

    Spam detection was one of the earliest problems solved by AI & ML. With the advent of AI & ML, new rules came for spam filters using neural networks.

  3. Increased Automation

    AI & ML automates anything ranging from tasks that involve extreme labor to the process of recruitment.

  4. Microservices Capability

    Microservices are modular and can easily follow an agile development timeline. Your company can deploy microservices to automate a service for your customer and relieve the burden of humans.

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