Causal AI is redefining decision intelligence, offering deeper insights and more precise enterprise decision-making than ever before. Enterprises struggle to leverage AI for critical decisions.
Twenty-first century manufacturers post-COVID-19 have been facing significant challenges across their functions in supply chain, risk, operations, and customer experience. Threats by new (often more ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More RelationalAI, a Berkeley, California-based artificial intelligence (AI) ...
Snowflake Ventures and AT&T Ventures have made a significant investment of $22.5 million in RelationalAI to scale the development of the company's GenAI-native decision intelligence system and deepen ...
RelationalAI brings knowledge graph coprocessor to Snowflake’s data cloud for better decision-making
Artificial intelligence startup RelationalAI Inc. is building on its relationship with Snowflake Inc. with the public launch of its Snowflake Native App, available now on the Snowflake Marketplace. It ...
Quantexa, the global enabler of Decision Intelligence (DI) solutions for the public and private sectors announced that it is partnering with Databricks, the data and artificial intelligence (AI) ...
Forbes contributors publish independent expert analyses and insights. I write about the decision intelligence revolution. Feb 28, 2023, 10:40am EST This article is more than 2 years old. Conventional ...
Picture this: You’re driving through a sprawling, unfamiliar city at night, with roads constantly shifting beneath your wheels and signs disappearing as soon as they appear. That’s what managing ...
Through natural language queries and graph-based RAG, TigerGraph CoPilot addresses the complex challenges of data analysis and the serious shortcomings of LLMs for business applications. Data has the ...
Algorithmic graph theory and optimisation represents a critical nexus between discrete mathematics and computer science, underpinning the development of efficient methodologies for analysing complex ...
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