Recently, Gartner, an authoritative international IT research and consulting organization, released the "Hype Cycle for Data, Analytics and AI in China, 2023" report (hereinafter referred to as the "Report"). Jiuzhang Yunji DataCanvas Company has been selected as a representative supplier in the field of "decision intelligence, causal AI" with its strong AI technology strength and innovation capabilities.
Hype Cycle (technology maturity curve) is an authoritative system provided by Gartner for enterprises to evaluate the maturity of technology and market development trends in various fields. It has wide influence on a global scale. This Hype Cycle focuses on China's technology industry and provides an in-depth analysis of the development trends of 24 "data, analysis and artificial intelligence" related technologies, including decision intelligence, causal AI, and generative artificial intelligence.
"Decision Intelligence, Causal AI" two benchmark software providers in emerging fields
The report divides various technologies in the "data, analytics and artificial intelligence" ecosystem into five stages: technology budding stage, expectation expansion stage, bubble burst trough stage, steady climb recovery stage and production maturity stage, vividly demonstrating the The current maturity and future trends of the technology. Among them, the two emerging fields of decision-making intelligence and causal AI, which Jiuzhang Yunji DataCanvas Company was selected as a representative manufacturer, are in the nascent stage of technology, and their future development is unlimited.
Decision Intelligence
Jiuzhang Yunji DataCanvas Company was selected as the representative supplier in the field of decision-making intelligence of Hype Cycle
Image source: Gartner
Gartner mentioned, “Currently, as artificial intelligence technology is increasingly used in decision-making, automatic decision-making and augmented intelligence are hotly discussed. This trend is pushing decision-making intelligence into a period of inflated expectations.”
Jiuzhang Yunji DataCanvas Company builds an infrastructure platform through industry-leading artificial intelligence applications - AIFS (AI Foundation Software) artificial intelligence basic software and DataPilot, a new generation of data architecture tool products based on self-developed large models. The system provides users with a basic software base for decision-making intelligence. Among them, AIFS includes a series of software tools such as DataCanvas Alaya Jiuzhangyuanshi large model, DataCanvas APS machine learning platform, and open source DAT automatic machine learning software to realize full-process automated development, training, and deployment of models of any scale. The company's independently developed DataPilot helps users realize the intelligence and automation of the entire link of data integration, governance, modeling, calculation, query, analysis, and machine learning modeling, enabling governments and enterprises to complete more data at less cost at all levels of the business. Efficient, more accurate decisions.
The AI basic software composed of AIFS and DataPilot meets users' needs for automated and intelligent real-time decision-making, continuously and rapidly improves the business value of governments and enterprises, and helps users integrate the "big + small" model in smart finance, smart communications, and intelligent It can be widely deployed and applied in business scenarios in multiple industries such as manufacturing and intelligent transportation.
Causal AI
Jiuzhang Yunji DataCanvas Company was selected as a representative supplier in the field of causal AI of Hype Cycle
Image source: Gartner
Causal AI, as the latest emerging field of artificial intelligence, supplements problems such as poor machine learning generalization ability, lack of interpretability, and insufficient support for decision-making tasks. It identifies and applies causal relationships to make AI systems more effective and more efficient. Move forward in the direction of independent decision-making.
Turing Award winner Mr. Yoshua Bengio once mentioned that "causality is very important for the next progress of machine learning." In recent years, Jiuzhang Yunji DataCanvas Company has accumulated rich theoretical practice in the field of causal AI and released YLearn causal learning software as an open source. As the world's first software tool that can end-to-end solve the five major causal learning tasks of "causal discovery, causal quantity identification, causal effect estimation, counterfactual inference and strategy learning", YLearn causal learning software breaks through the machine learning-based correlation modeling limitations, making artificial intelligence more autonomous, explainable, robust and efficient.
"Practice + Strategy" Leads the Future Trend of AI Technology Innovation
Innovative technologies that deserve special attention over the next two to five years include citizen data science, decision intelligence, generative artificial intelligence, and real-time data management. Early adoption of these innovative technologies will provide significant competitive advantages, mitigating issues arising from a lack of business technical staff and challenges associated with capturing business value.
——《Hype Cycle for Data, Analytics and AI in China，2023》
Over the years, Jiuzhang Yunji DataCanvas Company has been working hard in the field of data science with the vision of "creating intelligence and exploring the unknown". The company's technical route and strategic layout are highly consistent with the future AI technology innovation and development context proposed by Gartner, becoming a new era of AI. A leader of the times.
As a leader in artificial intelligence basic software, Jiuzhang Yunji DataCanvas provides users with basic artificial intelligence services through its independently developed artificial intelligence basic software product series and solutions, helping users easily complete models and data in the digital transformation. Two-way empowerment can improve the decision-making capabilities of governments and enterprises with low cost and high efficiency, and realize the large-scale application of enterprise-level AI.
Gartner predicts that “leading technology products and services will integrate generative AI capabilities in the next 12 months, introducing creative technologies and technology exchange and dialogue methods, thereby realizing the democratization of generative AI technology.” Jiuzhang Yunji DataCanvas The company combined generative AI technology, upgraded and improved the basic AI software product matrix, and released the DataCanvas Alaya nine-chapter Yuanshi large model. As a "general knowledge + industry" white box large model, it has general large models, industry large models, GPT, etc. It features a series of modal large models, an optimized training mechanism, and friendly open source protocol management. It also supports the Apache 2.0 protocol to accelerate the application of large models in diverse business scenarios.
With the two-way empowerment of AI and data in the era of big models, the integration of AI and data has led to technological innovation breakthroughs in the data field. Jiuzhang Yunji DataCanvas' DataPilot based on the "vector sea" concept allows users to have real-time, multi-modal data capabilities, reduce the cost of data-driven business development, and accelerate the digitalization process in the era of large models.
Jiuzhang Yunji DataCanvas Company continues to integrate and innovate the technology of "data, analysis and artificial intelligence" to drive the further upgrade of AI basic software, help global users achieve business growth and innovation, and create a new era of AI.