Predictive Analysis – AI & ML

We understand that machine learning and artificial intelligence play an essential role in the digital transformation journey of many businesses, which is why we integrate the advantages of these two technologies as per the nature of the company. Our team is equipped with the required knowledge, rationality, problem-solving, perception and learning to provide a functioning intelligent machine.

Artificial Intelligence and Machine Learning

Pingaksho provides customized solutions to help companies solve their input challenges and enable machine learning through data science workflows. We work with SAAS-based capabilities that enhance end applications with machine intelligence and aim to grow in the field of artificial intelligence and innovation.

Predictive Analytics Tools & Technologies We Use

Studying the problem

Developing industry and consumer-faced products after a thorough understanding of the probable hurdles.

Exploratory Data Analysis

Get provided with exclusive and accurate data analysis so that your customers experience the most updated AI.

Data Preparation

Self-updating algorithms help your brand to get a competitive edge and establish a unique trademark.

Design and Solution

Update your designs and visual representation as per ongoing solutions as recommended by the data sets.

Data Modeling and evaluation

Set up scalable infrastructure and design & develop ML models to solve problems and support business needs.

Support and Maintenance

Automating routine tasks, including software testing and maintenance, so that you make the correct decisions.

Predictive Analytics Tools & Technologies We Use

Proof of concept

Re-evaluate and explore the entire project as a pilot, testing specific hypotheses to ensure the initial idea is feasible and applicable in practice.

Customization

Customization addresses customers directly and shows them that you understand and your application should not be different. Accordingly, customization is planned.

Production

This stage focuses on the production of the website as per the requirements and feedback in the previous stages of prototyping and customizing.

Completion

Finally, completion marks the end of the project with the launching of the website and the application developments for the customers.