Machine Learning

Use of Data in a Systematic Way

All your facts, analytics, and AI on one platform One platform for all of your data, analytics, and AI Ancrew Global Services provide a solution for the design, deployment, and control of AI programs.

Ancrew Global Services percentage the equal vision to make records analytics easy sufficient for all customers, but scalable, governed, and safe enough for all businesses. RapidMiner is the company-ready records technology platform that amplifies the collective impact of your humans, understanding and information for breakthrough aggressive advantage.

Our Mission Is to Bring the Power of AI to Every Business

We are a data science and analytics consulting firm delivering AI-powered software and technical solutions to companies who want to leverage data and machine learning algorithms to add value to their businesses.

As an artificial intelligence company, we’re focused on machine learning, AI software development, computer vision, and intelligent automation. We help businesses innovate with AI, enrich customer insights, automate processes and be more cost-efficient. This is ensured by the use of proprietary technologies, exceptional customer care, constant investment in talent development, and our own R&D center.

Empowering Your Business With Data Science and AI Technology

Big Data Analytics Solutions

Unlock the power of data intelligence with scalable Big data analytics solutions

Big Data Analytics Services for Digital Transformation

Make analytical processes faster and more efficient with real-time Big data analytics.

Use Cases for Big Data Analytics

Implement robust analytical capabilities to solve your challenges across industries and amplify your decision support at each business stage.

Analysis of Architecture

Architecture Improvement

Big Data Pipelines

Data Visualization and Analysis

How We Can Aid in Business Growth

To beat the competition, produce breakthrough insights and data tales.

Custom Solutions and NLP Services

NLP Services Can Help Your Business Better Understand Human Language

What We Provide

We are innovators in the development of NLP software services. Whatever the issue facing your company, we can help.

Services for Automated Data Capture, Data Extraction, and OCR

Data extraction business In Ancrew Global Services offers high-quality services to help you identify, collect, and automatically extract data from unstructured documents and automate work processes.

Stable Methods to Automate Business Processes and Gain Rich Data Insights

Businesses must deal with a rising amount of data every day, and that volume is growing exponentially. Data capture, retrieval, and extraction services have become crucial components of workflows inside an organization. These are needed in order to manage massive amounts of information that are kept in many formats and places.

An automated data collection company called In Ancrew Global Services supports data-driven enterprises by offering them effective solutions. We provide OCR, data capture, and extraction services to manage your data and automate business processes.

We Provide Data Capture Services

Detection of Features

Recognizing each character’s individual components, such as lines, strokes, angles, etc.

Visualizing Barcodes With Optics (OBR)

scanning a barcode to identify a product and its attributes.

Raw Image Character Recognition

Data extraction from low-quality photos that are poorly illuminated, have printed characters that are not legible, and more.

How Our Services for Data Capture and Extraction Operate Data Source

We get information from many data sources.

We extract, transform, and load your data using ETL.

That is How We Use AI to Empower Our Clients

Client 360 Platform

Customized SaaS platform architecture to provide a pro-active marketing approach.

Simultaneous Interpreter Term Extraction

Challenge : Training in simultaneous interpretation is made simpler by phrase extraction.

Solution : Term extraction from different forms of documents for interpretersn.

Digital Transformation of the Food Supply Chain Using Azure Data Lake and IoT Hub

Moving on-premises equipment to the Azure cloud platform will enable a digitised supply chain with real-time IoT sensor processing and analytics of customer behaviour.

Challenge : Older on-site data assets are going to be transferred to the Azure cloud platform with IoT sensors. processing at a high rate

Solution : Term extraction from different forms of documents for interpretersn.

Ancrew Global Services shares the same ambition of making data analytics simple enough for all users while also being scalable, controlled, and secure enough for all enterprises. RapidMiner is the enterprise-ready data technology platform that amplifies the combined influence of your people, knowledge, and information for cutting-edge competitive advantage.

That is How We Use AI to programmes and algorithms

Animated programmes and algorithms

Pick from a wide variety of the most well-known class, grouping, and regression methods. Additionally, “shallow” neural nets (up to a few layers) and various gadget learning models are now available.

You may interactively train, check, track, and export models using category and regression apps for additional analysis, integration, and deployment. If writing code is more your style, you can also improve models using feature selection and parameter adjustment.

Interpretability of Models

Apply mounted interpretability approaches, such as partial dependence graphs, LIME, Shapley values, and generalized additive models, to overcome the black-container character of device studies (GAM). Verify that the model is using reliable data to support its predictions and look for biases that may not have been apparent throughout the learning process.

Automated Machine Learning

(AutoML) uses hyperparameter tuning techniques, such as Bayesian optimization, to automatically extract features from training statistics and improve models. Use specialized feature extraction techniques like wavelet scattering to extract information from signs or images, as well as function selection techniques like community element analysis (NCA), minimal redundancy maximum relevance (MRMR), or sequential function selection.

Generation of Code

Use embedded systems to deploy data and system learning models, and create legible C or C++ code for the entire set of machine learning rules, including pre- and post-processing stages. Improve the speed at which your excessive-constancy simulations are verified and validated. using technology to study in new ways.

Performance & Scaling

Use large arrays to easily adapt your code to teach machine learning models how to handle information sets that are too large to fit in memory. Parallel computing on your laptop, in a cluster, or in the cloud can help speed up statistical calculations and model education.

Interactive Apps and Algorithms

Choose from an extensive style of the most famous class, clustering, and regression algorithms – now also “shallow” neural nets (up to a few layers) alongside different gadget learning models. Use category and regression apps to interactively train, examine, track, and export models for further analysis, integration, and deployment. If writing code is greater your fashion, you could in addition optimize fashions with characteristic selection and parameter tuning

Model Interpretability

Overcome the black-container nature of gadget studying through applying mounted interpretability techniques such as Partial Dependence plots, LIME, Shapley values, and Generalized Additive Model (GAM). Validate that the model is using the proper evidence for its predictions and discover model biases that had been now not obvious at some point of education.

Automated Machine Learning (AutoML)

Automatically generate features from training statistics and optimize models the use of hyperparameter tuning strategies including Bayesian optimization. Use specialized feature extraction strategies including wavelet scattering for sign or picture information, and function selection strategies such as community element analysis (NCA), minimal redundancy maximum relevance (MRMR) or sequential function selection.

Code Generation

Deploy data and system learning fashions to embedded systems and generate readable C or C++ code in your complete machine learning set of rules, consisting of pre and put up processing steps. Accelerate verification and validation of your excessive-constancy simulations the usage of gadget studying fashions

Scaling & Performance

Use tall arrays educate system learning models to information sets too huge to suit in reminiscence, with minimal modifications on your code. You can also accelerate statistical computations and model education with parallel computing for your laptop, on clusters, or on the cloud.