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.
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.
Digimark Data Systems – An Innovative and Fast Leading Artificial Intelligence (AI) & Machine Learning (ML) Development Company
At Digimark Data Systems, 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 Digimark, 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 Digimark, 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 Digimark Data Systems For AI & ML Development Services?
Using AI & ML techniques, many businesses hit their business growth. At Digimark, 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 skillful 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
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AI-One
It a tool that allows developers to build intelligent assistants within the software applications.
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Google AI
Google AI assists data scientists to find datasets stored in repositories across the web easily.
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Deeplearning4j
It is a deep learning programming library by Java and is compatible with any JVM language.
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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.
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Apache Mahout
It produces free implementations of distributed machine learning algorithms that are primarily focused in the areas of classification, collaborative filtering, and clustering.
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PyTorch
Being an open-source machine learning library, PyTorch is used for applications such as natural language processing.
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OpenNN
It is a software library that implements neural networks.
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Weka
It is a collection of machine learning algorithms that are used for performing data mining tasks.
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Amazon Web Services
AWS offers scalable, reliable, and inexpensive services for cloud computing.
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H2O
It is a fully open-source, distributed machine learning platform with linear scalability.
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PredictionIO
PredictionIO is a machine learning server that allows developers and data scientists to create predictive engines and build smart applications for machine learning.
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KNIME
It is an open-source reporting, data analytics, and integration platform.
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Colab
It is a research tool by Google for machine learning education.
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Scikit Learn
It is the most useful machine learning library in Python. Scikit Learn consists of a lot of valuable tools for statistical modeling and machine learning.
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Keras.io
It is an open-source neural network library.
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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:
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Data Lakes
Data Lakes gives your organization access to more critical data for training without straining the in-house resources of your organization.
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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.
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Increased Automation
AI & ML automates anything ranging from tasks that involve extreme labor to the process of recruitment.
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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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Without big data analytics, companies are blind and deaf.
Geoffrey Moore