G-Square Solutions Provides AI Analytics for Business
Alyson Wyers — January 28, 2018 — Tech
References: g-square.in & betalist
This AI analytics platform was designed specifically for the financial services industry. Startup G-Square solutions is a new venture in artificial intelligence that offers analysis relating to market risk, credit risk, the financial market and sales. Founded by Gurpreet Singh, the Indian company provides business analytics and actionable insights you can easily put into practice.
They offer three products of note: robo-analytics tool Narrator, pricing tool Derivator and big data analytics tool Bigdator. When it comes to sales analytics, G-Square Solutions focuses on big data, business, customer and sales channel analytics. Their financial markets and risk analytics look at credit risk and portfolio risk analytics, market risk analytics and consulting, model validation as well as quant fund structuring and robo advisory models.
They offer three products of note: robo-analytics tool Narrator, pricing tool Derivator and big data analytics tool Bigdator. When it comes to sales analytics, G-Square Solutions focuses on big data, business, customer and sales channel analytics. Their financial markets and risk analytics look at credit risk and portfolio risk analytics, market risk analytics and consulting, model validation as well as quant fund structuring and robo advisory models.
Trend Themes
1. AI Analytics - Disruptive innovation opportunity: Develop AI analytics platforms for other industries such as healthcare and retail.
2. Big Data Analytics - Disruptive innovation opportunity: Create advanced big data analytics tools for industries like logistics and manufacturing.
3. Robo-advisory Models - Disruptive innovation opportunity: Build robo-advisory models for industries such as real estate and insurance.
Industry Implications
1. Financial Services - Disruptive innovation opportunity: Develop AI-powered financial service platforms for smaller banks and credit unions.
2. Market Research - Disruptive innovation opportunity: Integrate AI analytics into market research platforms for more accurate data analysis.
3. Consulting - Disruptive innovation opportunity: Incorporate AI analytics tools into consulting services for data-driven insights and recommendations.
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