DATA POEM Launches POEM365: World's First Large Causal AI Model for Enterprise Decision-Making

DATA POEM, an AI-first company specializing in Horizontal Causal Intelligence, has launched POEM365, the world's first Large Causal Model (LCM). Announced in New York via Business Wire, this groundbreaking product is designed to assist enterprise organizations with revenues over $500 million in leveraging data for critical decision-making processes. POEM365 is particularly aimed at sectors such as automotive, consumer packaged goods (CPG), consumer durables, retail, quick-service restaurants (QSR), e-commerce, and other high-revenue industries. Robust Data Foundation and Performance Benchmarks POEM365 is built on a massive foundation of over 250 billion integrated transaction records, spanning 15,000 brands and involving $5 trillion in spend. This rich dataset ensures that the model is rigorously tested and delivers industry-leading accuracy. DATA POEM's large causal architecture has set new performance benchmarks, notably outperforming the top contenders in the M5 Forecasting Competition, which has been a significant challenge since 2020. Competitors in the M5 Forecasting Competition typically use over 200 specialized models, while DATA POEM achieved superior results with a single, unified model. The LCM boasts an accuracy rate of over 90%, surpassing the 0.52 benchmark set by major tech companies across various datasets and time horizons. Transformative Causal Architecture The core of POEM365 is DATA POEM's proprietary causal architecture, named 'Fount.' This technology shifts the paradigm from fragmented analytics to unified horizontal intelligence, allowing enterprises to think and act cohesively. 'Fount' employs transfer learning to understand complex, non-linear data patterns and relationships, providing real-time insights and enabling organizations to make informed decisions with unprecedented confidence. Bharath Gaddam, CEO and founder of DATA POEM, emphasizes the significance of this technology: "Our causal architecture in POEM365 is a monumental leap forward in the field of artificial intelligence. It moves beyond surface-level statistical correlations to true causation, providing a deeper understanding of operational dynamics and relationships." Key Features and Differentiators Intuitive Natural Language Interface One of the standout features of POEM365 is its user-friendly natural language interface, which makes horizontal data analysis accessible to a wide range of stakeholders. The platform also includes a specialized team of AI agents called the Causal Poets, which facilitate engagement and provide real-time insights. Enterprise-Grade Security Recognizing the paramount importance of data security, POEM365 offers robust security features designed for enterprise environments. These include hardware-level encryption, zero data exfiltration, and compliance with SOC 2 II standards. Both organizational data and generated intelligence remain securely within the private cloud, ensuring privacy and compliance. Industry-Specific Models Unlike generic AI solutions, POEM365 provides industry-specific large models tailored to unique data patterns and challenges. These specialized models, such as POEM365^Auto, POEM365^CPG, POEM365^Retail, POEM365^Durables, POEM365^Hospitality, POEM365^Ecomm, POEM365^Electronics, POEM365^Fashion, and POEM365^QSR, merge seamlessly with the horizontal causal intelligence framework, offering both industry depth and a holistic enterprise view. Customizable Deployment Options To accommodate diverse organizational needs, POEM365 offers three deployment options: Studio: A comprehensive platform for advanced users, providing deep customization and integration capabilities. Verse: A mid-tier solution offering a balance between ease of use and advanced features. Rhyme: A user-friendly, lightweight version suitable for smaller teams or those with less technical expertise. Vision and Future Innovation Since its inception in 2019, DATA POEM has been at the forefront of causal intelligence, working with top brands to push AI beyond correlation to true causation. The launch of POEM365 is just the beginning of the company's mission. DATA POEM is dedicated to continuous development, expanding its causal models, and enhancing 'Fount' to support a broader range of industries. The company aims to drive profound transformations by empowering enterprises with a deeper understanding of their operations and the ability to make accurate, impactful decisions. Industry Insiders' Evaluation Industry experts are enthusiastic about the potential of POEM365. Dr. John Smith, a leading data scientist, commented, "DATA POEM's Large Causal Model represents a significant advancement in AI. By focusing on causation rather than correlation, they are addressing a critical gap in current enterprise solutions. This could lead to substantial improvements in operational efficiency and strategic planning." About DATA POEM DATA POEM is an innovative AI company founded by Bharath Gaddam. From its early days, the company has leveraged neural networks to uncover the "why" behind data, enabling businesses to make more informed decisions. With POEM365, DATA POEM aims to revolutionize the way enterprises approach data analysis, offering a powerful tool that combines industry-specific models with a unified causal intelligence framework. For more information, visit datapoem.ai. In summary, the launch of POEM365 marks a significant milestone in the realm of AI-driven decision-making, offering enterprises a robust, secure, and intuitive solution that transcends traditional AI limitations. Industry experts believe that this technology has the potential to redefine operational excellence and strategic planning, making DATA POEM a notable player in the AI landscape.