Business Transformation of the
Future with Artificial Intelligence & Machine Learning

Artificial Intelligence
& Machine Learning

In today’s world, 1 out of 10 enterprises use no less than 10 AI applications ranging from expert systems, machine vision, message chabot, speech recognition and many more. The increased adoption of Machine Learning (ML) across a spectrum of applications, if anything, has proven how its algorithms and techniques are effectively able to solve complex problems in real-time. 

We, at Huminn, follow a unique approach to adopting AI/ML under a strategic vision that helps in scaling up and transforming business rapidly—across every function, domain, and process.


Why Artificial Intelligence and Machine Learning are the next best thing for business transformation?

While business transformation is primarily driven by people’s decisions and actions, Artificial Intelligence (AI) and Machine Learning (ML) solutions help customers in making those decisions. AI and ML is sector-agnostic and has almost infinite applications across a myriad of sectors including healthcare, manufacturing, retail, utilities and many more. While AI plays a major role in both maturing as well as evolving technologies, it is Machine Learning that makes business transformation a reality in the process.

ML triggers automated and continuous learning through monitoring, testing, and enables potential actions to change or enhance possible outcomes through data analysis. Furthermore, the built-in capabilities of ML to identify trends or anomalies in Big Data is hugely transforming numerous industries from clinical research to healthcare to security and governance and compliance everywhere.


What we do?

One of the major issues that organizations face right now is overwhelming availability of products in the market, constrained by license requirements and not getting enough value for the investments. Huminn addresses this problem by creating an array of small scale highly customizable set of codes, which can be tailored to the customer needs.

This approach gives high level of flexibility for customers to get a proprietary solution at a lower cost, achieving maximum value. This we achieve by creating value for our clients, identifying information in various phases of a process including design, execution, and delivery.

AI is not complex, as long as you are clear on objectives and what you want out of machines

Most of the clients are overwhelmed by the marketing of Artificial Intelligence and Machine Learning Solutions and products available.

The current landscape of AI and ML

How do we solve at Huminn?

Existing solutions and products offer 100 features and are expensive but you will use only 5 of those features, diminishing the ROI We embed the AI and ML methodologies in the overall solution wherever possible by creating a custom solutions
Not enough data for the AI models to run efficiently Build solutions which are simple, but can scale and become more accurate as more data becomes available
AI is been viewed as very complex, and actually, it is not Keep it simple by deploying targeted solutions but integrate with overall architecture

We use main branches of Machine Learning at various degrees to achieve the best possible outcome

Variations of machine intelligence help our clients achieve cost and effort efficiencies through productivity gains and improved turnaround time


01 – Natural Language Processing

Human language is separated into fragments so that the grammatical structure of sentences and the meaning of words can be analyzed and understood in context

02 – Optical Character Recognition (Image and Video)

Convert images and videos to machine readable text in a form your computer can process, store and edit as a text file or as a part of a data entry and manipulation software

03 – Analytics and Insights

The insights gathered through analysis help to form an accurate understanding of a situation, scenario and in some cases specific business problem to solve

04 – Process automation and IoT

Process automation streamlines a system by removing human inputs, which decreases errors, increases speed of delivery boosts quality, minimizes costs, and simplifies the business process.