Exclusive Interview with Kushl Banshal, Governor of TigerGraph India
In Analytics Insight
December 31, 2021
Graph algorithms are graph analysis tools used to determine the strength and direction of a relationship between objects in a graph. Graph analysis focuses on the paired relationship between two objects at once and the overall structural features of the graph. TigerGraph is a leading graphical analysis platform provider that supports advanced analytics and machine learning applications with connected data.
Analytics Insight has an exclusive interview with Kushl Banshal, the administrator of TigerGraph India.
1. Kindly inform us about the company, its differences and the services your company provides.
TigerGraph is a leading graphical analysis platform provider that supports advanced analytics and machine learning applications with connected data. Headquartered in Redwood California, Asia Pacific, India, Singapore, Indonesia and Korea, our Certified Technology Fraud Detection, Anti-Money Laundering (AML), Legal Resolution, Customer 360, support advice. , Knowledge graph, cyber security, supply chain, IoT and network analysis.
2. What is the mission and purpose of the company? In short, can you tell us about the journey you have taken since the company was founded?
FTigerGraph aims to take the lead in graphic technology, the world’s first parallel graph, and help enterprises transform their businesses with deep data understanding from day one. . At the same time, TigerGraph seeks to democratize graph adoption in all industries from financial services, healthcare, manufacturing, advertising, media and entertainment and more.
TigerGraph has made amazing progress. Earlier this year, we raised $ 105 million in S Series C funding, one of the largest in the Graphics Database and Analytics market, with TigerGraph total funding exceeding US $ 170 million. The company has more than tripled its workforce over the past 12 months and has expanded its global footprint in North America, EMEA and APAC.
3. Tell us how your company is contributing to big data analytics and how the company is benefiting its customers.
Graphic has become an essential technology for modern enterprises in almost every industry, from financial services, healthcare, e-commerce and the public sector. Eight out of 10 banks use graphic technology: TigerGraph’s Global clients include Jaguar Land Rover, UnitedHealth Group, Walmart, Intuit and Exact Sciences. At home in Asia Pacific, we call it the Merkle Science, Australia Taxation Office.
To prevent blockchain surveillance and financial crimes from using the TigerGraph advanced analytics, TigerGraph gave Merkel Science the ability to instantly analyze data over 2.5 TB in five to 10 hops. Information to better connect relationships that you could not have done before opening up in-depth, extensive and practical analysis. With the help of TigerGraph, the development of a cryptographic network graph can provide significant information insights into the real-world implications and make it more competitive for Merkel science. TigerGraph does this by exploring crime for customers of Mercury Science immediately and precisely – and with significant time and cost savings, enabling the real potential of data to enable more customers to grow their business, make better decisions, and achieve tangible benefits.
In India, TigerGraph recently announced our partnership with CareEdge Risk Solutions, enabling CareEdge Risk Solutions to develop the next generation of customer and scam solutions for financial institutions using Graphics Database Technology and Graphics Solutions. Improve customer and operational efficiency.
Using TigerGraph Graph Database Technologies and ready-to-use anti-fraud (AML) and fraud software, CareEdgerisk Solutions can significantly increase the amount of data that scans and analyzes the relationship between different data points.
The partnership with TigerGraph means that the traditional databases of CareEdgerisk Solutions can often overcome obstacles such as elasticity, visibility, or accuracy.
4. Do you kindly share your views on the current state of the big data analytics and the future?
A.D. By 2022, more companies will be implementing graph analytics capabilities to support advanced analytics and machine learning applications, fraud detection, anti-money laundering (AML), legal entity, client 360, tips, knowledge graph, cyber security, supply chain, IoT, and network analysis . Graph will be more closely related to ML and AI.
TigerGraph is working to promote graph databases and is committed to providing a patent graphite database over the next two years. We are working on a 100 TB LDBC-SNB standard, which should be completed by 2022. In terms of rankings, next year we will go through the process of completing the standard query in GQL language. We look forward to the transition from prep to cloud (private and public) deployment.
5. Kindly mention the major challenges the company has faced so far.
We have no major challenges, perhaps meeting the growing demand as soon as possible. Graph adoption is growing at lightning speed.
6. What is your biggest USP that sets the company apart from its competitors?
We are the first native parallel graph in the world. There is no doubt that we are the only industry-expandable graph database for the enterprise as well as the fastest in the world. Many of the awards we have won have been recognized, especially in the recent introduction to the JP Morgan Chase Hall of Innovation for our innovations, business value, and challenging products. Other awards include a Gartner Cool Vendor in Data Management with a Forrester Wave Graph Data Platforms Report.
7. How is big data improving in the industry as a whole today? What are the most important trends you see around the world?
According to Gartner, by 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, which will facilitate faster decision-making within the organization.
As the amount of data generated and duplicated in the organization increased, scalable graphic technology became an important link between high data volume and key business insights. Graph will be the main competitive difference between companies in many industries. Graph can quickly identify, locate, and predict complex communications in data: Perceptions of financial fraud or logistical challenges in the supply chain.
8. Please let us know about the products / services / solutions you offer to your customers and how they are priced..
As the enterprise’s fastest and most scalable graphical platform, TigerGraph has an easy-to-use suite of architecture and cloud solutions that allows any company to easily manage and analyze large amounts of data in order to access key communications. Recognize the potential for complete graph graph conversion.
TigerGraph Database is the only licensing graph database for the organization that can measure graphic database and analytical power for all – including non-technical users.
TigerGraph Cloud The industry’s first and only distributed graphical database-like service allows users to get started, build in hours, and deploy in days.
GraphStudio ነው is our simple but powerful graphical user interface that integrates all graphical data analysis steps into one easy-to-use application.
9. How do you plan to change the Indian market and what are your plans for the market?
We look forward to investing in India as our country’s enterprises can fully benefit from Graph Database Technology from the world’s largest Internet and mobile phone market and the region’s key innovation center. As the administrator of TigerGraph India, I am fully committed to guiding our clients to take full advantage of advanced graph analysis, AI and ML applications to answer critical business questions. Especially since India is the latest addition to the list of growing markets for TigerGraph in the Asia Pacific, I believe I can help Indian customers change their organizations while ensuring a significant return on investment in our technology.