Artificial Intelligence & Machine Learning

Artificial Intelligence & Machine Learning

Using AI, ML companies may be able to get a decisive head start


What is Artificial Intelligence & Machine Learning?

What is AI? What is Machine Learning? How do these terms relate, or differ, from one another? In general terms, AI refers to a broad field of science encompassing not only computer science but also psychology, philosophy, linguistics and other areas. AI is concerned with getting computers to do tasks that would normally require human intelligence. The founding father of AI Alan Turing defines this discipline as: “AI is the science and engineering of making intelligent machines, especially intelligent computer programs”

Machine learning is the process whereby a computer distils meaning by exposure to training data. The algorithm “learns” to identify patterns, like occurrence of certain words or combination of words, that determines the chance of an e-mail being spam.


Artificial Intelligence & Machine Learning

AI will enable us to solve problems that humans are unable, or hardly capable, of solving

Companies around the business are grappling with a rising dilemma in the digital economy: how to use the massive amounts of data they currently collect to add value to their businesses and customers without crossing the line into unethical, unlawful, or undesirable use. To maintain this growth, organizations must not only pay attention to and re-evaluate their data strategy, but also implement governance measures.

The surge in data breaches, theft, and leaks has prompted governments and regulators to establish strict regulations to prevent data misuse and hold important leaders accountable for any incident that jeopardizes citizens’ interests. By focusing on data-use governance, organizations now recognize the need to regulate the information life-cycle and avoid data swamp.

Companies must adopt policies that promote openness, traceability, ownership, ethical and secure data use, and general collaboration with their data citizens to build a culture of data trust in order to effectively balance opportunity and risk.

What to Expect

Harness the power of Analytics, Automation, and Artificial Intelligence

Leads to higher production & increased productivity also allows more efficient use of inputs.

Coordinate Data delivery, Analyze trends, Data consistency, Forecasts, & check uncertainty.

Respond to customer queries and grievances quickly and address the situations efficiently. 

Basic ML to advanced Deep Learning models have made it capable to solve complex issues.

Helps making critical decisions also prepares them for any emergency to ensure business continuity.

Improves business efficiency & perform complex business tasks that require manual intervention.

Our Approach

At Praxis Value we don’t just talk about AI, we do it

At Praxis Value we help you use AI to improve your organization. We can help you turn data into insights and use them, starting with creating an AI strategy to develop new business models and improve operations. We can help you achieve AI insights and engagement by leveraging next-generation autonomous algorithms, supplementing human decision-making, and creating actionable forecasts and insights from your data.

At Praxis Value, we assist our clients in using AI to perform their tasks faster, more affordably, and with greater accuracy than ever before. All the terms and conditions can be read by machines. On transportation networks, they can forecast behavior. In crowds, they can recognize faces. Our AI teams include experts in cognitive computing, deep learning, machine learning, and the generation and processing of natural language. We will assist you in transforming the data you already possess into actionable information for your company.

At Praxis Value we leverage facts to make impactful decisions, with the goal of maximizing financial value, and this spirit infuses all we do. Our approach is to capitalize on the potential opportunities, which results in an increase in EBITDA.


Reduction in Unplanned Downtime
20 %
Reduction in Off- Specification Products
30 X
Reduction in Total Maintenance Cost
15 %

Client Results - Case Study

Industry – Paper Industry

Client was facing due to the high production losses due to the high number of issues & stoppages in the machine. Also, to remain competitive, it needed to improve its manufacturing facilities to reduce cost, increase capacity and innovation to remain competitive. Primarily they required a process for proactive monitoring to address the business needs…

Advanced Analytics with Praxis Value


Agile & Lean Delivery

Agile project delivery and development process for data analysis, discovery, and interpretation

Long-term Value

Proven track record, rapid, cost-effective project delivery that saves customers money and time while also adding value

Strong Technological Expertise

Experienced in an array of industry verticals. Client-centric collaborative, conversational, & transparent approach

Industry Best Standards in Data Privacy

Because data privacy is firmly ingrained in every encounter, we adhere to the best practices for protecting your data.

Related Services

What we think

What can we help you achieve?

You are on the way to the easiest business growth ever. Don’t hesitate and reach us today to change the future

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