(图片来源:unsplash)
Titanium Media App reported on April 13 that at the Kyligence 2024 Digital Intelligence Forum this week, Kyligence, a provider of big data analysis and indicator platforms, released a new one-stop solution for Kyligence AI + indicator platform, and implemented it in the fields of finance, retail, manufacturing, and medicine.
Kyligence co-founder and CTO Li Yang revealed that the new company plan in 2024 has a huge technological leap compared to last year. In a bank's head office and branch customers, using Data+AI technology, Kyligence provides an indicator platform solution that improves the accuracy of AI conversations on customer data to more than 95% and achieves 100% explainability, thereby providing more valuable enterprise service solutions.
After the meeting, Li Yang told Titanium Media App that AI is destined to replace humans to solve more practical problems, whether it is SaaS (software as a service), data decision-making or intelligent decision-making, and AI automation will gradually participate in it in the future.
"We're seeing software eating the world, which was a saying when SaaS was introduced. And what we're seeing today is AI devouring software. In Li Yang's view, the form of enterprise SaaS is changing, and the era of the original enterprise SaaS model has passed.
Kyligence联合创始人兼CTO 李扬
Founded in 2016 by the founding team of Apache Kylin, Kyligence is a leading provider of big data analytics and metrics platforms, and has served customers in multiple banking, securities, insurance, manufacturing, retail, healthcare and other industries in China, the United States, Europe and the Asia-Pacific region. It includes global well-known enterprises such as China Construction Bank, Ping An Bank, Shanghai Pudong Development Bank, Bank of Beijing, Bank of Ningbo, Pacific Insurance, China UnionPay, SAIC, Changan Automobile, Starbucks, Anta, Li Ning, AstraZeneca, UBS, MetLife, etc., and has reached global partnerships with Microsoft, Amazon Web Services, Huawei, Ernst & Young, Deloitte, etc.
Known as "China's version of Snowflake", Kyligence has had a successful IPO with a market capitalization of more than $50 billion.
In terms of financing, Kyligence has received multiple investments from Red Dot, Broadband Capital, Shunwei Capital, Eight Roads Capital, Coatue, SPDB International, CICC Capital, Gopher Asset Management, Guofang Capital and other institutions.
At the product and commercialization level, Kyligence mainly provides indicator platform solutions and OLAP solutions, including Kyligence Zen and Kyligence Enterprise.
In his speech, Li Yang said that in 2023, Kyligence products will fully integrate AI capabilities, announce the Sinan model (Compass), and upgrade and launch Data+ generative AI enterprise services such as Kyligence Zen, an intelligent one-stop indicator platform, and Kyligence Copilot, an AI digital intelligence assistant, and have taken the lead in landing in real scenarios of customers such as finance, retail, manufacturing, and medicine.
In his speech, Li Yang said that in 2023, Kyligence products will fully integrate AI capabilities, and launch Data+ generative AI enterprise services such as Kyligence Zen, an intelligent one-stop indicator platform, and Kyligence Copilot, an AI digital intelligence assistant, and have taken the lead in landing in real-world scenarios for customers such as finance, retail, manufacturing, and medicine.
In 2024, Kyligence's new AI solutions announced this time are mainly based on Kyligence Zen products. Using AI Copilot and other technologies to provide accurate and reliable Data + AI landing applications for enterprise-level customers, the intelligent one-stop indicator platform will help enterprises achieve unified data language and target management, as well as service-oriented data governance by connecting with existing data sources of enterprises.
At the same time, it is equipped with an AI digital assistant that will further lower the threshold for business users to use data, help business personnel make quick and accurate decisions, and provide data support for business innovation. In addition, the OLAP platform provided by Kyligence will provide a solid technical foundation for enterprises to use data at scale and promote AI applications.
Among them, the new Kyligence Copilot AI digital intelligence assistant is on top of the Kyligence Ken indicator platform. Combined with the capabilities of large language models, the insight, evaluation, attribution and summary of business indicators are completed through natural language dialogue, improving the efficiency of business personnel and empowering enterprise operation and management.
Li Yang said that data decision-making requires the participation of AI technology. Nowadays, many enterprise customers are optimistic about the direction of Data+AI. As AI has emerged in the direction of text, video, audio generation, and code generation, it is hoped that AI will do more work for people.
"When ChatGPT first came out last year, we made it similar to the 'blanks and samples' in the laboratory based on the problems and pain points of past customers, which was more like something in an ivory tower. But today, we've found real user scenarios that are using AI to solve real problems, and I think that's a huge step forward. Li Yang said to the Titanium Media App.
Gan Tian, director of solutions and services at Kyligence, mentioned that the company's new solution is based on the original Kyligence On the basis of the OLAP engine, Enterprise has set up a corresponding enterprise-level indicator platform, and combined with Baidu Wenxin Yiyan and Ali Tongyi Qianwen and other general models at home and abroad, to better support customers to efficiently analyze indicators and gain insight into the development form of relevant data through language dialogue, so as to meet the complex and diverse analysis needs of business departments and improve the quality and decision-making efficiency of business insights.
"We want to really put AI to use. Gan Tian said that from the perspective of business data analysis cycle, using new AI technology, IT data preparation time has been reduced from the previous few hours to 30 minutes, the query performance of OLAP response is less than 4 seconds on average, and 90% of the query information can be completed within 1 second.
Talking about the cost and demand of computing power, Li Yang said to Titanium Media App, etc., "Inference computing power consumption is an optimization problem. Today's AI assistant is more of a first step, and needs to solve the problem of whether it can be smarter, and he doesn't care about energy consumption and cost. Once he was smart enough, he began to discuss energy consumption, because a virtual assistant is a virtual person, which is equivalent to saying that if I hire a virtual person, how much salary I will pay a month is a problem. At present, there are two stages, one is that enterprises must buy cards to the computer room by themselves, and the other is that agents need a large number of tokens and computing power. In the future, computing power and energy consumption may be further optimized with the degree of intelligence. ”
When it comes to the future development of AI technology, Li Yang said frankly that the market has a strong demand for new AI products and solution combinations, and we "obviously feel the urgency of the market". However, he believes that generative AI technology needs a process to be implemented in the industry, and it also needs to be accumulated step by step.
"In the eyes of the market, first of all, the future of AI seems to be getting closer and closer, and secondly, if I don't start experimenting with this technology now, and I don't start accumulating my knowledge of data decision-making, then I will probably fall behind. I guess it's based on this urgency that the demand for our indicator products has increased with the addition of AI. Li Yang said.
Li Yang emphasized that he believes that AI will have the ability to help humans make more complex decisions in the future. Of course, it's hard to get started. Now, the company has initially reached a standard of commercialization, which can achieve 95% accuracy and 100% explainability. In the future, only high-quality data will be able to train high-quality AI. The use of Kyligence AI data solutions will help more enterprises achieve digital and intelligent transformation and accelerate the development of more industries.
(This article was first published on the Titanium Media App, author: Lin Zhijia)