A recent Harvard Business Review study found that in a comprehensive survey of 75 fortune 500 companies, Only 3% of companies had ‘acceptable’ data quality.

The cost of bad data is commonly approximated with the ”rule of ten”, which states that if any part of a dataset is inaccurate, it requires at least 10 times the typical amount of investment in terms of time or costs for the same unit of work.

“Cleansing and preparing data” can mean a lot of things, including removing duplicates, removing incomplete values or null values, consolidating disparate and discrete data sources, setting up policies, procedures, and systems that maintain data quality over time. It goes without saying that having data scientists and analysts who understand industry data is very important to assist coordinate data consolidation and monitor data quality activities.

Data science and analytics teams spend 80% of their time searching, cleaning, connecting, and coding their way through data sources to seek out those that train effective models. In today’s world where everybody has access to common algorithms, the only way to bring your models from the sandbox to creating a significant impact in production is with correct and clean data — data you don’t have.

Data Labelling & Annotation

By offering scalable, fast and secure Data annotation services for machine learning and AI technology companies and the end users, we allow you to focus and specialize on innovation. We work hard to ensure that you bring in the high accuracy in your project. For us, 95% accuracy isn’t enough. It’s the last 5% that creates all the difference in offering an exemplary customer experience

Intellekt’s data annotators are hand-picked for expertise and accuracy. They enjoy working with us because, through training, we empower them to become excellent.

We’re capable of handling high-context data for automotive, medical images, ecommerce/retail, sport analytics, defense, robotics, aviation and aerospace, fintech, etc. all safeguarded by high-level ISO-certified security including GDPR and HIPPA compliance.

Computer Vision and Natural Language Processing

Intellekt’s team of trained computer vision engineers build custom solutions using state of the art deep learning and artificial intelligence to segment objects from live image streams, identify and track objects in real time, and deploy human-in-the-loop systems at scale while providing the flexibility of processing peak and regular volumes in line with business needs.

Our Natural Language Processing services support a range of business applications, from data acquisition and processing to analytics, entity extraction, intent analysis, and question answering systems. Through Intellekt’s Natural Language Processing (NLP) tools and techniques we help process, analyze, and understand unstructured data in order to operate effectively and proactively. All the unstructured content that can bring significant insights like social media transactions, ecommerce queries, email and text communications, video and images, customer reviews, technical support requests are processed.