Improving Applications With ThinkIQ - ThinkDigits’s Modern AI ML Platform
ThinkDigits’s Artificial Intelligence Platform - ThinkIQ is a purpose-built platform that enables an enterprise to leverage AI ML technologies with pre-built solutions. The AI ML platform provides intuitive tools to rapidly develop and deploy enterprise-level Artificial Intelligence solutions that can be easily scaled. AI ML solutions that took weeks and months to develop can now be developed in hours with this platform. This enables the team to focus on the value the AI ML Platform delivers to the business rather than spending time to develop the technology.
ThinkIQ comes with tools for data pipeline creation, data aggregation, data transformation, data clean-up, validation, use case set-up, testing, training, automated algorithm optimization, and deployment. ThinkDigits’s platform also provides a robust, well-architected framework with the best practices of security in built.
Enterprise Decision Management
ThinkIQ is a kind of AI ML platform that enables clients to take a human-centered approach to decision management at various stages of the production lifecycle. The use case-specific models are created using an integrated stack of machine learning algorithms and trained data scientists who specialize in the needs of each industry
AI Models
AI model-driven architecture speeds time-to-value for all application development and deployment. The business-specific models present a flexible interface that unites data sources into one cohesive ecosystem of algorithms with clear guidelines on how they should interact in order to produce desired outcomes
Data Models
Data models are created using the data platform, which stores all of its information in a single unified database. The AI system can then use this context-sensitive knowledge to provide specific insights for any given set of circumstances or create specific data models to be consumed by the upstream for the insights.
Operations & Security
ThinkDigits’s Data and Intelligence Platform allows for the sharing of data in a secure environment without compromising its integrity. It is one of the best AI platforms for the enterprise that facilitates scaling by providing advanced base layers with encrypted data operations and security for the AI apps built on top
The pre-built use cases cover Predictive Maintenance, Predictive Quality Management, Anomaly Detection, Asset Performance, Dynamic Production Scheduling, and Energy Management. A user can pick any of these use cases and easily build the solution within a few hours. ThinkDigits’s ThinkIQ is one of the best machine learning platforms that have governance and capability to manage the various apps and their versions.
FAQ's
An Artificial Intelligence platform solely exists to make the functioning of day-to-day operations of a business simple. A great AI platform can expedite production, shortening the time between manufacturing and eventual delivery. The platform can also be used to improve the maintenance process, assure better quality control, reduce human error, and provide customers with a positive experience.
This is precisely what ThinkDigits’s AI ML platform- ThinkIQ accomplishes for its many clients. Ever since its inception, the platform has helped businesses in the manufacturing, energy, food, and automotive industry streamline and automate their entire business processes.
ThinkDigits’s robust AI platform comprises the following components:
Data Models - Expert Driven
ThinkDigits creates data models from the raw (IT+OT) data with the following expertise.
- Data Connectors
- Unified data lake
- Master data
- Business Logic
- Object Models
AI Models - Model Driven
ThinkDigits creates AI models feeding the training data (after data prep) with the model types as depicted below in question 4.
Features
- Development - Inference (Model built by Training, Validation, and Test)
- Deployment
- Operations
- Governance
ThinkDigits’s AI ML platform comes equipped with several intuitive capabilities that allow it to alleviate the challenges that businesses face on a regular basis, thus boosting their bottom line. ThinkIQ, for instance, leverages machine learning algorithms to detect asset risks early on, thus helping manufacturers fix issues without incurring unnecessary repair costs.
By predicting and identifying defects at the right time, our platform helps businesses avoid expensive recalls, warranty claims, and fines from customers. The platform also helps reduce unnecessary wastage in production with accurate demand forecasting. All of these benefits combined and more can help businesses boost their ROI significantly.
AI modelling refers to the creation, training, and deployment of machine learning algorithms that facilitate logical decision-making based on available data. As such, AI models serve as a foundation that supports methodologies pertaining to advanced intelligence such as real-time, augmented, and predictive analytics.
With that in mind, below are the different types of AI models used byThinkdDigits:
Predictive Quality by Computer Vision:
- Image Classification
- Image Classification + Localization
- Object Detection
- Semantic Segmentation
- Instance Segmentation
- Panoptic Segmentation
Predictive Quality by Audio:
- Anomaly Detection
- Supervised Learning
Predictive Maintenance:
- Anomaly Detection
- Supervised Learning
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