AI data processing plays an important role in marking the way for intelligent automation in an organization. It converts semi-structured or unstructured data into valuable insights and information. Through AI, businesses are able to streamline and use data processing workflows resulting in efficient and accurate decision-making capabilities.
15+
Years of Experience
1500+
Annotators Working 24x7
100%
Data Security
99%
Accuracy Achieved
24X7
Availability
KEY FEATURES OF OUR AI DATA PROCESSING SOLUTIONS
Outsource your Data Processing to us to Manage your Operational Expense and Infrastructure Cost through our AI Data Processing Solutions.
Data Classification
We use machine learning and artificial intelligence along with efficient data classification for reducing false alerts, improving workforce, etc.
Search Relevance
We train your AI and ML models with high quality training data for deploying search algorithms leading to quick, accurate and relevant output.
Image Sorting & Filtering
Utilize our AI training data for hastening the process of sorting and filtering images. This aids in segmenting images for greater accuracy in analyzing the features in each image.
KYC Verification
Prevent fraud and issues owing to unlawful, forbidden acts by automating the KYC verification procedure with very less time, effort and money.
Metadata Capture
This helps companies by producing conducive, accurate insights and data regarding pages being viewed by a viewer.
Link Sourcing
Link sourcing for websites or data link mining for specific keywords or topics is executed by businesses for extracting helpful information.
Our Seven Steps in AI Data Processing
Data Cleaning
We use tools for standardizing data for consistent and easy analysis by removing inaccurate, incomplete or irrelevant data.
Data Integration
This involves mixing data from different sources in different formats for creating a unified dataset.
Data Transformation
This involves data conversion through application of mathematical or statistical operations to the data. It assists in providing insights and enhancing the efficiency of the data analysis.
Data Aggregation
This involves summarizing data for providing an overview of trends and patterns which can be carried out using techniques including grouping, filtering and sorting data.
Data Analysis
This involves application of statistical and mathematical techniques to the data for gaining insights and understanding the underlying patterns and relationships.
Data Visualization
This involves making visual data representations including charts and graphs to readily interpret and communicate the results of data analysis.
Data Mining
This involves utilizing algorithms and statistical models to identify patterns and relationships within large datasets. This technique can be used for making predictions or uncovering hidden insights.
Use Cases of AI Data Processing
Natural Language Processing
Automate language translation, sentiment analysis and speech recognition by processing and analyzing written or spoken language.
Fraud Detection
The analysis of large quantities of transactional and behavioral data helps AI in detecting fraud in financial transactions, social media and other domains.
Healthcare
Use AI for analyzing medical images and patient data for aiding the diagnosis and treatment of diseases.
Autonomous Vehicles
Use AI for processing sensor data and making decisions in real time for autonomous vehicles.
Cyber Security
Use AI for detecting and preventing cyber attacks. Also, use it for identifying vulnerabilities in computer systems.
Supply Chain Optimization
Use AI for optimizing supply chain operations by analyzing data regarding inventory, demand and shipping times.
Frequently Asked Questions
AI hastens the process of extracting data from unstructured and analog data sources like emails, documents, images, videos, etc in an accurate and fast manner. It can be leveraged by businesses for categorization and classification of data based on set criteria. Data pre-processing allows for automatic detection and fixing of errors, inconsistencies, anomalies in any given dataset. Data transformation is another great advantage of incorporating AI into data processing. Process automation can be used for automating repetitive and routine tasks and much more.
Why should you outsource to Anolytics?
You can trust us in offering quality text annotation work because we offer:
Quality With Accuracy
Get the best-in-class quality services with highest accuracy level delivering an excellence in image annotation through multiple stages of auditing and reviewing of labeled data.
Security With Privacy
We are certified with SOC 2 TYPE 1 Company for maintaining the high standards of data security with privacy while working with our clients to ensure their confidentiality.
Fully Scalable Service
Working with hundreds of workforce to annotate pictures as per the demand providing a completely scalable solution with turnaround time to meet the different client’ needs.
Cost-effective Pricing
Image annotation outsourcing to us means our clients get a cost-effective data labeling service helping them to minimize the cost of their project with best efficiency.
Get in Touch with us
USA Office
16 Horseshoe Ln, Levittown, NY 11756, United States
India Office
A-83, Sector-2, Noida, Uttar Pradesh 201301
Call us on.
+1 516-342-5749
Schedule a Call
with our Enterprise Specialist