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DeeRom: We Code Your Dreams

Artificial intelligence / Machine learning

Transform your Business with the Leader in Enterprise AI.

Transform your Business with the Leader in Enterprise AI

Artificial Intelligence here to stay and we wish to make it available and accessible to all. Every enterprise is investing in this to get accurate and better results With Artificial Intelligence services & Machine Learning services, you can predict the business problems before they happen, Whether for E-Commerce, Healthcare or any other, AI is the future We have real world example Covid-19, Machine learning is helping us to Identify who is most at risk, Diagnose patients, Understand viruses better, Predict the next pandemic Machine learning is an important tool in fighting the Covid 19. If we take this opportunity to collect data, pool our knowledge, and combine our skills, we can save many lives – both now and in the future. With the development of technologies and the increasing popularity of it, we can find data everywhere. Every character of data can be meaningful. Therefore, at Deerom, we diligently collect all the information from your sources. Deerom great for, Speech Recognition, NLP, Cognitive learning Text and speech analytics

Detection

One of the most profound aspects in AI. It allows you to locate, identify, count and track any object-of-interest. It empower you to remedy future issues long before they impact your business. A term given to the task of implementing systems that can automatically recognize and localize human faces in images and videos. Face detection is present in applications associated with facial recognition, photography, and motion capture. A method of identifying, detecting, and following an object of interest within a sequence of images over some time. Applications of tracking within systems are found in many surveillance cameras and traffic monitoring devices.

Prediction and Optimization

Forecasting helps to predict the future outcomes. Thus it helps in scheduling upcoming things and drive significant cost savings and unlock opportunities for high revenue growth. Optimization gives best results with given resource constraints. Applications: Market prediction, Stock trading, Weather prediction, etc. Machine learning model predictions allow businesses to make highly accurate guesses as to the likely outcomes of a question based on historical data, which can be about all kinds of things – customer churn likelihood, possible fraudulent activity, and more. These provide the business with insights that result in tangible business value. For example, if a model predicts a customer is likely to churn, the business can target them with specific communications and outreach that will prevent the loss of that customer.

Computer Vision

It analyses and interprets the inputs automatically and provides automated image processing, image recognition and object detection. It seeks to understand and automate tasks that the human visual system can do. Applications: Security imaging systems, Object detection in manufacturing, etc. Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions,Deerom Transforming people's lives with advanced computer vision Deep learning techniques have given a fillip to computer vision and image processing solutions. However, training models for proprietary and domain-specific data sets is a challenge. We find innovative ways to transform the domain-specific part of a problem into a generic computational problem in order to deliver practical solutions.

Deep Learning

It enables machines to translate, execute and investigate and let them learn and give best solutions like human. Deep learning is a subcategory of machine learning methods powered by artificial intelligence technologies. Deep learning is also known as a system of algorithms inspired by the human brain, which can automatically evolve itself from a huge amount of data it generates. These systems first develop a deep domain insight and then provide this information to the end-users in a timely, natural, and usable way. Since there is a rapid increase in data generation across industry verticals such as the banking, financial services, and insurance (BFSI), healthcare, retail, and public services, the adoption of deep learning is also growing fast. Applications: Fraudulent transaction pattern detection in banking, Healthcare prediction, etc. Deep learning complex neural networks are designed to emulate how the human brain works, so computers can be trained to deal with poorly defined abstractions and problems. The average five-year-old child can easily recognize the difference between his teacher’s face and the face of the crossing guard. .

Natural Language Processing

Enables understanding, interaction and communication between human and machines. It helps to automatically extract critical business insights and emerging trends from large amounts of structured and unstructured content. There are many NLP APIs and services available today. Some of these services could give 80% accuracy on extraction tasks involving generic data. However, to solve really hard problems involving natural language understanding, especially with proprietary and small data sets, we need to skillfully use machine learning techniques along with traditional NLP algorithms. Applications: Text translation, Sentiment analysis, Speech recognition, etc. This flexible Platform is a unified technology suite providing Automatic Speech Recognition (ASR), Natural Language Processing (NLP), Dialog Management, and Voice Biometrics. That means we can handle conversations on any channel — through voice, text, chat or social — on this single platform.
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