ThirdEye Data
About ThirdEye Data
ThirdEye Data leverages Artificial Intelligence & Big Data technologies to build AI applications for enterprises worldwide.
ThirdEye is a Silicon Valley-based one-stop-shop for Data Sciences, Analytics & Engineering services & products
ThirdEye has a decade of experience in building end-to-end technical solutions for Fortune 500 companies and start-ups as well.
ThirdEye's services help organizations transform knowledge into strategic & tactical insights for informed & timely business decisions.
Data Sciences - ThirdEye implements end-to-end Big Data solutions with Data Sciences technologies like Artificial Intelligence, Machine Learning, and Deep Learning seamlessly baked into it.
Data Analytics - ThirdEye’s Data Analytics services help businesses increase revenues, improve operational efficiencies, respond quickly to emerging market trends and gain a competitive edge.
Data Engineering - ThirdEye’s Data Engineering Services transform organizational knowledge into insights for more informed and timely business decisions with the best possible TCO.
Generative AI - ThirdEyes Data has extensive knowledge in OpenAI's language models and NLP capabilities. We have developed several Generative AI-powered applications to solve real-world industry problems.
ThirdEye Data leverages Artificial Intelligence & Big Data technologies to build AI applications for enterprises worldwide.
ThirdEye is a Silicon Valley-based one-stop-shop for Data Sciences, Analytics & Engineering services & products
ThirdEye has a decade of experience in building end-to-end technical solutions for Fortune 500 companies and start-ups as well.
ThirdEye's services help organizations transform knowledge into strategic & tactical insights for informed & timely business decisions.
Data Sciences - ThirdEye implements end-to-end Big Data solutions with Data Sciences technologies like Artificial Intelligence, Machine Learning, and Deep Learning seamlessly baked into it.
Data Analytics - ThirdEye’s Data Analytics services help businesses increase revenues, improve operational efficiencies, respond quickly to emerging market trends and gain a competitive edge.
Data Engineering - ThirdEye’s Data Engineering Services transform organizational knowledge into insights for more informed and timely business decisions with the best possible TCO.
Generative AI - ThirdEyes Data has extensive knowledge in OpenAI's language models and NLP capabilities. We have developed several Generative AI-powered applications to solve real-world industry problems.
Key Insights
Services & Focus
Industry Focus
Client Focus
Portfolio
Knowledge Management System
Developed an AI based knowledge management system that enables its users to identify relevant Subject Matter Experts (SME) on various topics of current interest by asking simple questions and getting detailed responses with a listing of ranked SMEs.
Developed deep JSON based profiles for every employee.
All interactions were through a Chatbot interface.
Users gave English language queries seeking for SMEs on various topics.
Predictive Maintenance Platform
Extended client’s current Predictive Analytics Platform to predict in real time using 10x additional data points.
Ingested 10x additional sensor data points into the system.
Increased rate of data ingestion by more than 50%.
Achieved near real-time data analytics capability.
Improved analytical queries response times ability by more than 900%.
Predictive Analytics Solution
Developed Amazon AWS's first solution on the AWS Marketplace.
The solution showcased:
- Integration with multiple services (both native and third-party ones) as available on the AWS marketplace.
- Used machine learning models for predictive analysis.
- Created analytical and predictive dashboards for visualizations.
- Developed a mobile app to get notifications based on predictive analysis.
Customers deployed the solution with a single click and had it up and running within minutes.
Pill Detection from Images
Developed end-to-end data pipelines for operationalizing AI Solutions.
Leveraged ML to deliver maximum value to patients, ensuring that medications are given to the right patient, at the right time & at the right dose.
Used Deep Learning techniques to accomplish the image recognition of medical pills through a Smart App.
Used Sentiment Analysis for capturing patient’s experience, both online and using the connected devices.
Ingested real-time and batch data into a HIPAA compliant data lake.
Analyzed all data using D3.JS based analytical dashboards.
Anomaly Detection in Electric Poles
Electric poles carrying electricity for Energy Utility companies often develop snags that restrict the flow of electricity and causes wildfires resulting in losses for both the company and consumers.
Developed a solution that would:
- Identify various images in a picture, including electric poles
- Detect anomalies in these electric poles and their sub-parts
- Predict the probability of defective electric poles to further deterioration
Images captured from drones flying over the electric poles were ingested into Azure blob for anomaly detection.
The solution was used by Microsoft’s customers, partners and field sales personnel worldwide.
Crime Analytics & Predictions
Developed the system to analyze & detect crime hotspots & predict crime using the following open data sets:
- Open Crime Data
- Census Data
- Social Media Data (Facebook & Twitter)
- Traffic Data (real-time & historical)
- Weather data (real-time & historical)
Leveraged various Azure services for backend processing & visualizations in PowerBI.
AI-generated House Floor Plans
Developed end-to-end data system for automating the process of floor plans generation using AI.
The system accomplished the following:
- Recommend: based on user’s preferences, the system recommended appropriate floor plans
- Customize: user’s had the ability to customize the floor plans as per their wishes
- Generate: based on all user inputs the system generated floor plans.
Leveraged Deep Learning techniques for floor plan generation.
Inventory Optimization System
Setup data lake that ingests 200+ data sources with varied data sources types and formats.
Setup data pipelines that ingests data in batch, real-time and incremental basis.
Developing ML models to deliver inventory optimization strategies that will inherently help the company's bottom line.
Will develop a Predictive Maintenance to be used by the Manufacturing Division
Will develop a Sales Forecasting system that the sales and marketing team would be using.
Connected Retail Solution
Developed an end-to-end analytical & predictive solution that enhances Customer Experience using Omni-Channel presence based on Microsoft Azure services.
The solution connects the in-store and online experiences of the customers and highlights the difference between a Connected Consumer and a Traditional Shopper.
Provides dynamic recommendations and a 360 degree cyclic data exchange.
Zero touch purchasing experiences with secure transaction authorization using Face Recognition.
Price Optimization System
Analyzed the enterprise datasets and external data sets that impacts pricing.
Developing data pipelines for ingesting enterprise datasets and external data sets that impacts pricing.
Developing Market Intelligence KPI Dashboard with deep analytical capabilities.
Will develop Machine Learning models using Enterprise Data sets.
Will Augment Enterprise Datasets based ML models with External Datasets.
Will Operationalize Pricing Recommendation Models across the entire enterprise.
Campaign Conversion Platform
Developed end-to-end Campaign Conversion Platform that optimizes campaigns for converting users to paid subscription plans using Machine Learning techniques.
Developed hyper targeted campaigns for individual users based on their profile that has been curated over time.
Improvised ML models by incorporating a complete feedback loop.
AI-based Marketing Analytics
Developed an end-to-end AI-based Marketing Analytics Platform that optimizes campaigns for converting users to paid subscription plans using AI and Machine Learning techniques.
Developed hyper-targeted campaigns for individual users based on their profile that has been curated over time.
Improvised AI and ML models by incorporating a complete feedback loop.
Predictive Metrology for Control Systems
Developed an Open-Loop-System that aids
operational personnel to control the glass coating process, improves the product quality, and reduces waste.
The Open-Loop-System receives live data, computes the predicted end-of-line metrology values and corrective action suggestions for the process parameters in real-time, while panes are being coated.
The predicted metrology values and parameter suggestions were made available in real-time on the shop floor in the form of a graphical user interface, with which the operational personnel interacts.
Data Lakes Operationalization
Migrate all data sets, including ones in Network Drives to the new Data Lake based on Azure Blob Storage.
Migrate data from SQL Servers to the Data Lake.
Cleanse, prepare, enrich and transform data as needed for downstream consumption.
Implement data security structure and policies.
Define & implement data governance policies.
AI-based Cyber Security Platform
Built from scratch an AI-based Cyber Security Platform that:
- Performs real-time analytics using Artificial Intelligence technologies on petabytes of network data to continuously predict the next cyber threat.
- Provides a persona-based 360-degree view of the security aspects of the overall network.
- Delivers a Deep Learning based Analytical and Cognitive engine.
NLP based Search Engine
Developed from scratch a search engine for real time and domain specific text search to find out relevant information about the threats / vulnerabilities affecting an enterprise.
Used Natural Language Processing (NLP)
- Topic modelling using LDA algorithm.
Leveraged Solr as the main search engine for indexing the data.
Used Python Flask as the MicroServices framework.
All code was containerized using Dockers and deployed on the Kubernetes platform.
AI-based Semantic Search
Extended an existing keyword-based search engine of a legal website with AI & based Semantic Search engine.
- Leveraged NLP algorithms, performed Topic Modeling on legal documents hosted on the cloud and on-premise.
- Performed Summarization, Custom Entity Extraction, Key Phrases
- Extraction, Title Generation on a per-document basis.
- Enabled User Feedback loop with rating mechanism and Add/Delete functionality of Concepts.
AIOps - Anomaly Detection Platform
Built from the ground-up an anomaly detection platform to detect & predict anomalies in various server-side metrics like CPU, memory usage, traffic in / out, etc.
Completely open-source based, and runs on Spark Clusters.
The platform has the following capabilities:
- Can detect anomalies on more than 10,000 metrics in the given datasets
- In-built Auto-AI functionality
- On detection, raise alerts in dashboards and send notifications.
- Ability to drill down to identify root causes
MLOps Engineering
Over the years, the client has accumulated hundreds of ML models for various levels and types of predictions, object detections, tags identification.
It is developing an exhaustive MLOps platform for streamlining all activities, for data scientists, data engineers, and business stakeholders.
- Data LakeHouse - Design, Architect, Creation
- Data Pipelines - Ingestion, Cleansing, Transformations, Correlations
- ML Flow - Model Development, Training, Deployment, Versioning
Object Detections & Tags Deciphering from Images
Build and launched into production an end-to-end platform that picks up third-party provided images of electric poles to detect the quality of the image and decipher tags on the poles for further downstream consumptions in analytical systems.
Various AI models are applied to detect various image parameters like:
Occlusion
Blurriness
Angle detection
Tags Deciphering
Image Quality Detection Platform
A] Build end-to-end platform that picks up third-party provided images of electric poles to detect the quality of the image for further downstream consumptions.
B] Various AI models are applied to detect various aspects:
Structure Detection
Tags Deciphering
Occlusion
Blurriness
Angle detection
C] Once the quality of the images are determined to be adequate, channel these images for anomaly detection and other downstream analytics.
D] Added functionality to detect & decipher tags on these electric poles
E] Various AI models were developed to recognize the backgrounds of the tags and then decipher vertically written alphanumeric characters.
F] Developed master pipeline that
processes all images,
branches to appropriate data pipelines based on the types of objects detected in the image
invokes appropriate AI models on the image
persists all outcomes into appropriate folders for validations by humans.
ThirdEye Data Reviews
Submit a review for ThirdEye Data
Location
4084625257