Machine Learning

Webogix provides a variety of machine learning services, leveraging machine data to capture untapped sections of business patterns. We build, train, and deploy machine learning models and apply them to provide business solutions for companies and empower them to stay ahead of their rivals.

Over the next couple of years or maybe a decade, this will become a reality. Digital technologies and tools like AI/ML, Automation, IoT, and predictive data analytics will transform every aspect in the way IT infrastructure viz. Network, Compute, Storage, Security, Platform, and Application is delivered, consumed, and managed. Mega support centers and rigidly standardized processes and scripts for dealing with everything from user queries and technical support—will be replaced by BOT’s, minimalist workforces of highly skilled specialists collaborating with digital technologies.

Why Webogix For Machine Learning?

In this profoundly aggressive tech market domain, organizations constantly seem to get a head start on their opponents through best practices. For this very reason, we present ready-made machine intelligence for your applications and business processes to help you enhance business outcomes.

But when you’re developing modern business solutions, you need to have a look at the market rivalry and digital experience developments in perspective for your business-before you do that, I will give you some details about the applications of machine learning, across various industries.

The following are some benefits you get with machine learning:

  • Increase productivity with ML for all skills
  • Implement at scale with ML Ops
  • Develop responsible ML solutions

How companies use machine learning

Big Tech exploits machine learning solutions not only to analyze data, but also to put it to use.

  • Netflix
  • Google
  • Amazon

Netflix utilizes ML algorithms everywhere from their recommender system to creating custom thumbnails depending on a particular user’s tastes to choosing optimal filming locations.

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Google implements machine learning and AI into all of their products, including their search engine, App Store, Google Assistant and Translate.

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Amazon embeds ML and AI solutions into the marketplace and the voice assistant Alexa, even enabling it to call emergency services.

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Machine Learning is the right choice for uplifting a business in many ways.

01.
Increase sales

Increases user enthusiasm to purchase owing to the presence of Machine Learning.

02.
Improve productivity

Production of future products will depend upon machine learning technology.

03.
Analyse large volumes of data

Identification and Analysis of large vloumes of data have become easier with ML.

04.
Improve customer satisfaction

This emerging technology is replacing traditional and becoming a favorite choice of all.

Machine learning solutions we build

Machine learning algorithms can be adapted to automate and streamline numerous business processes. Automating routine operations will free up time for challenging tasks requiring extra care.

Predictive maintenance

By utilizing predictive analytics, audiovisual comprehension, and other machine learning techniques, Webogix will reduce the financial losses of your business by providing the information on the maintenance needed for tools and machines in advance.

Fraud detection

To detect and prevent fraud, Webogix teaches machine learning solutions on specific data sets that teach the algorithms to check users’ actions according to certain rules or detect specific anomalies happening when a fraud case occurs.

Demand forecasting

Webogix leverages the power of machine learning to perform retrospective and real-time market data analysis unveiling seasonable trends in demand leading to more accurate sales predictions.

Dynamic pricing

Webogix implements machine learning models to analyze market data about the demand on particular products enabling businesses to automatically adjust their prices to the current demand and sell them more efficiently.

Real-time chatbot development

Our machine learning specialists will enhance customer experience with a chatbot simulating human conversation by implementing deep learning, natural language processing, speech recognition (text-to-speech/speech-to-text), and other ML tools.

Virtual assistant development

Building a virtual assistant, we create a special bond between your products and users with the help of audiovisual comprehension, deep learning, and natural language processing. Moreover, a virtual assistant can become a driver of creating a product ecosystem.

Customer behaviour analysis

By training machine learning algorithms to understand customer behavior, Webogix gives businesses essential insights into their customers allowing them to perform customer segmentation, model customer churn and decrease its rates, etc.

Smart recommender systems

Deep learning and marketing automation solutions will enable your business to offer users assets of any kind with increased precision, increasing user satisfaction and reducing churn rates.

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Machine Learning

Support and Evolution

02
Artificial Intelligence

Support and Evolution

03
Augmented Reality

Support and Evolution

Our machine learning services

Machine Learning
Developing the solution from scratch is the right move in case there’s a need for an ML algorithm with specific functionality. Such systems will address the needs and objectives of users perfectly.


Deep Learning
Inspired by living creatures processing information, deep learning algorithms bring valuable benefits to a vast array of fields, from machine translation and computer vision to bioinformatics and drug design.


Data Science
Using a combination of advanced analytics techniques and cutting-edge technologies like machine learning, data scientists extract insights from large volumes of data. This aids businesses in strategic planning, customer behavior analytics, and data-driven decision-making.
Computer Vision
ML algorithms with an ability to recognize images and distinguish objects shown can increase efficiency of an array of processes, from sorting, tagging and categorizing photos to reinforcing and automating the security with the help of CCTV.

Speech Recognition
With the help of machine learning products become able to recognize and understand human speech making the user experience more lively and effective for a business.

Algorithm Optimization
Optimizing machine learning algorithms means finessing their level of precision. Developers can significantly increase the efficiency of ML algorithms by advancing hyperparameters or achieving the best model variables through training.
Predictive Analytics
Predictive analytics solutions analyze historical data to exploit it in identifying risks and opportunities and building predictive models. Utilizing machine learning for this purpose allows businesses to gain valuable insights into performance and risks facilitating data-driven decision making.
Sentiment Analysis & NLP
Machine learning and natural language processing (NLP) enable businesses to automate processes like social media analysis or navigating the customer to the goal increasing the overall efficiency of sales and marketing activities.


Neural Network Development
Using neural network systems, businesses can track patterns that aren’t recognized by traditional analytics. This feature brings valuable insights about the market, the behavioral patterns of customers, and how they can be taken advantage of.

How we develop machine learning solutions

Requirement analysis

We analyze the tasks machine learning algorithms are intended to cover, suggest suitable tools, and evaluate the scope of work.

Data preparation and processing

We examine acquired raw data and select valuable clusters of data. Then we preprocess the selected cluster to transform it into a dataset and split it into three areas: data for training, data for validation, and data for tests. Data processing enables us to train the model and adjust its parameters for the highest efficiency.

Feature engineering

We define proper predictor variables created and further utilized for the predictive model based on our vast business domain knowledge and an in-depth understanding of their inner processes.

Model development

Through experimenting with model types, feature selections, and parameter tuning, we train several models and choose the optimal one. This process facilitates bringing the best-fitting model to the deployment stage.

Model deployment

We put the selected model to work in practice by integrating it into your work environment.

Model tuning

Having deployed the model, we continuously track the solution’s performance to rapidly adjust and improve it if needed.

Platforms we work with

AWS Machine Learning

Amazon offers a number of pre-built machine learning solutions included in the platform. The technologies include transcribing, text-to-speech conversion, and natural language processing (NLP). This set of tools facilitates the fast deployment of ML solutions.

Azure machine learning

Microsoft Azure is designed to support the end-to-end machine learning lifecycle, from data preparation to debugging and artifact tracking.




Google machine learning

Google Cloud is full of diverse tools utilized on various stages of the ML lifecycle, from model deployment and data preparation to building sophisticated models and tailoring the solution to a particular field.


Why Choose Us

Experience

Our great team of more than 100 software experts.

Quick Support

We’ll help you test bold new ideas while sharing your.

Best Solutions

Our team of more than 100 software experts.

Unique Design

We’ll help you test bold new ideas while sharing your.

// BUSINESS INDUSTRIES

Business Industries
What We Serve

Business & Finance
The global economy is moving towards a new identity. In order to remain competitive and profitable, the banking and finance.
Gaming & Enterteinment
The global economy is moving towards a new identity. In order to remain competitive and profitable, the banking and finance.
Information Technology
The global economy is moving towards a new identity. In order to remain competitive and profitable, the banking and finance.
Retail & Distribution
The global economy is moving towards a new identity. In order to remain competitive and profitable, the banking and finance.