The innovative methods employed in data science, e.g., the use of sparsity in big data to recognize patterns in a vast collection of spurious correlations, makes it very different from traditional statistics.
Data science can track the behavioral patterns of consumers and help businesses provide personalized and exclusive offers to customers and display advertisements based on their preferences.
Algoscale uses sophisticated tools like customer analytics, natural language processing and pattern detection techniques to enable business predict the next best decision to make significant profits. The recommendation engines and predictive analytics built by us can help businesses make informed decisions about the growth.
Image analytics has the potential to solve many social, political, economic and industry issues. With advances in multi-lingual speech recognition, machine vision, and rules-based decision engines, it has become easier for enterprises to draw inferences using real-time streams of image and video content.
At Algoscale, we empower organizations to develop comprehensive security capabilities using video. Take advantage of our advanced search and facial recognition analytics to find relevant images and critical information across multiple video files from various camera types. Uncover insights and patterns by extracting information from captured video and improve your ROI.
- Object Detection and Tracking
- Image Classification
- Real – Time Emotion Detection
- Face Recognition/ID
- Body Pose Detection
- Invoice segmentation
- OCR Data Extraction
- Image Similarity & De-duplication
Text analytics can help you uncover patterns and themes from the unstructured text like emails, tweets, social media platforms, blogs, survey results, or online reviews to provide valuable insights about your customers. Moreover, by combining text analytics with advanced analytics and machine learning, you can predict the sentiment trend.
At Algoscale, we derive meaning out of unstructured text data to help you gain new customer insight or determine sentiment about products and services. We follow a 360-degree approach that involves extracting and tokenizing the text, detecting term and sentence boundaries, tagging, parsing, and obtaining knowledge to derive insights.
Monitor your social media, filter out spam emails, automate your ad placement, and gain competitive intelligence by partnering with Algoscale.
- Sentiment, Emotion & Intent Identifier
- Categorization & Clustering
- Natural Language Generation (Chat bots)
- Structured Text Data Extraction
- Context-aware Information Retrieval
The ever-increasing volume and types of data coupled with the interest to derive valuable insights to optimize operations, reduce risks, and increase revenue are encouraging organizations across the industries to use predictive analytics. By using advanced analytics like statistical algorithms, text analytics, machine learning, predictive modelling, real-time scoring, and data mining – organizations are anticipating future trends and customer preferences to take strategic business decisions.
At Algoscale, we help you increase your competitive advantage using predictive analytics. Detect fraud, reduce business risk, optimize your marketing campaigns, or improve operations using our predictive analytics solutions.
- Forecasting Models
- Feedback – Based Self Learning
- Entity Scoring (Lead, Customer, Product)
- Predict Trends & Seasonal Patterns
With the rise of the internet, recommendation engines play a crucial role in customer engagement and retention. Businesses need to understand the requirements and preferences of a customer or viewer without asking multiple annoying questions. To personalize the experience for customers, businesses are using sophisticated analytics to analyze historical buying behavior and make real-time recommendations.
At Algoscale, we help you grab users’ attention amidst information and data overload. Our recommendation engines collect, store, analyze, and filter huge amount of data to provide your customers with personalized suggestions on additional products or services. Depending on the nature of your business and data, we employ content-based, community-based, explicit, or implicit recommendation system to suit your needs.
- Collaborative Filtering
- Content – Based Filtering
- Identifying Need States & Clustering
- Cross / Upsell Recommendations
- Anomaly Detection
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