TAQ is the foundation of Presight – it is our omni-analytics platform that powers all our verticals. It excels at all-source data collection & analytics, artificial intelligence and big data, and is adaptive to any tech foundation
What is Analytics Quotient?
Analytics Quotient (AQ) is a measure of how well entities apply data and analytics to plans, processes, and decisions. A high AQ enables you to understand history effectively, forecast more accurately, and be ready to act on the most likely outcomes.
What is TAQ?
TAQ is Presight’s big data omni-analytics platform that helps accelerate the analytics quotient of its clients. The Platform allows an integration of all-source data on which adaptive AI algorithms are run to rapidly deliver actionable insights that help clients make timely decisions.
The core of the TAQ platform is ‘All-Source Data Collection and Analytics’ and a ‘AI & Big Data’ layer. It hosts 100+ AI algorithms that power the verticals’ solutions and range from behavioral analysis to emotion detection across each vertical. Capabilities such as case management, risk scoring, and simulations are built into the platform.
TAQ’s All-source Data Collection & Analytics solution has a strong competitive advantage in mass data collection across all types of data. It’s able to process 30-50 TB data a day and supports all data formats that include multi-lingual, video, image, sound, number and geospatial. AI-assisted data annotation is leveraged when tackling new-to-the-world data types.
The Artificial Intelligence and Big Data solution leverages the best of two worlds – experienced data scientists and industrial experts. Presight has a wide variety of off-the-shelf big data tools and AI models, including Face ID, Voice ID, Link Analysis, Customizable OCR, Advanced Geo Analysis and Data Search.
TAQ also allows for an enabling of a tech foundation. We are accustomed to working with clients in a variety of foundational tech maturity levels. Accordingly, we ‘fill-in the gaps’ as needed across:
– IoT to capture sensorial data
– Data centers: to physically host all data
– Supercomputers: for unique cases of real-time mass data analysis
– Cloud: to enable seamless integration between apps and access from any location, 24/7
