parabole.ai

🚀 Empowering Energy & Industrial Leaders with their expertise and Parabole.ai's TRAIN Platform 🌍 At Parabole.ai, we're proud to partner with some of the world's leading companies to help optimize their operations and drive process efficiencies. Our TRAIN platform is transforming the way organizations approach complex industrial challenges—whether it’s optimizing energy usage in critical sectors or enhancing operational performance across diverse systems. By combining Causal AI with deep industry knowledge, we’re not just streamlining processes but also enabling proactive decision-making that leads to tangible improvements in sustainability and profitability. 🔍 TRAIN stands out with its ability to integrate expert knowledge and internal insights, creating a unified approach that solves the toughest problems in manufacturing, energy, and more. With this powerful platform, our partners can seamlessly manage complex systems and stay ahead in today’s evolving landscape. #CausalAI #EnergyOptimization #AIforIndustry #OperationalExcellence #Sustainability parabole.ai

A great read and an answer to several questions I’ve gotten of late!

🚅 From Understanding Causal AI to the Creation of the TRAIN Platform🚂 ♟️As Chief Strategy Officer at parabole.ai I’ve been lucky enough to work at the intersection of technology and business strategy where we often need to bridge complex concepts with practical solutions. A recurring theme in my conversations—from curious friends to investors and even industry professionals—is the misunderstanding between the functionality of Large Language Models (LLMs) and Causal AI. As the costs of GenAI POC’s rise, understanding this difference is crucial for business and IT professionals and investors looking at capital strategies, as well as non-tech based stakeholders and those simply wondering how AI will impact their lives. 🧩 LLMs, like GPT-4, are powerful tools for analyzing massive amounts of text, finding patterns, and generating insights. But as is now clear, they have limitations. LLMs operate mainly on correlations—they can, in some instances, tell us what might happen, but they are not designed to understand the “why” behind the data. 🏎️ This is where Causal AI becomes indispensable. It’s not just another tool; it’s a conceptual framework that goes deeper, allowing us to model cause-and-effect relationships by integrating different types of relevant and foundational knowledge. At Parabole.ai, we understand that solving real-world problems requires more than just data—it requires the integration of first principles, expert narratives, and domain-specific knowledge to create solutions that are accurate and insightful. 🔎 Our years of work in Causal AI led to the creation of the TRAIN platform that allows organizations to experiment with different scenarios, test hypotheses, and make decisions grounded in causality. By intertwining vast amounts of knowledge with real-time data, TRAIN enables decision-makers to simulate outcomes, predict results, and experiment with interventions, optimizing processes in ways that LLMs simply cannot achieve. 🏅Why this matters: • TRAIN, powered by Causal AI, provides actionable, knowledge-driven explanations. This allows leaders to make informed decisions based not just on what’s happening, but on why it’s happening—critical for effective interventions and optimizations. • TRAIN integrates various forms of knowledge—from first principles to expert narratives—creating a rich tapestry of understanding that is essential for solving complex business challenges. It does this in a scalable and efficient process that generates ROI fast. • The experimentation capabilities of TRAIN make it a unique platform for decision-making, enabling organizations to test, iterate, and refine their strategies in a controlled environment. At Parabole.ai, we have harnessed the potential of Causal AI to transform how businesses operate. To explore how the TRAIN platform can elevate your decision-making and drive innovation message me here! #CausalAI #AIInnovation #IndustrialAI #ManufacturingAI #InvestInAI #DecisionMaking

This is exactly why iEARTHS exists…to identify, remediate and prevent all forms of modern slavery. Join us to help accelerate this effort and give children everywhere the childhood they deserve. #Prevent #modernslavery #noexcuses Jaume Mora Pedros Elaine Mitchel-Hill Rajib Saha Sree Charan Pothireddi Muhammad Ishaq Phoebe A James Maha Khan Dr Sofía González De Aguinaga, PhD

UPDATED: The AI Wars: Battlefronts Shaping an Industrial (R)Evolution I got great feedback from my Linkedin audience on my initial explanation of the AI Wars, specifically around the role of Startups, and Industrial Automation and Hardware vendors. I've added another update to include the battle over data, to include Data and AI Models, Marketplaces and Exchanges. The 'AI Wars' are not synonymous with the 'Cloud Wars'. Read the full blog to understand why. The rapid pace of advancements in Artificial Intelligence (AI) can be overwhelming, especially for IT, OT and ET audiences not directly engaged in AI research and development. Every day, our inboxes and news feeds are inundated with announcements about the latest developments in AI, with little clarity on the value they may bring to mission critical Industrial AI use cases. To make sense of this information overload, it can be helpful to think of the current market ‘hype’ or ‘bubble’ as the ‘AI Wars’. In the AI Wars, the campaigns, battles, and skirmishes represent the competition for control of our hearts, minds, and various aspects of AI development and monetization. Each campaign is a concerted effort towards a specific AI goal, each battle is for control of a significant AI technology breakthrough, and each skirmish is a minor advancement or setback in AI marketing or monetization. Read the blog for more on the battlefronts and the protagonists #AIwars #AI #IndustrialAI #IndustrialEdge #EdgeAI #CloudAI #ASICs #FPGA #NPU #GPU #DataMarketplaces #AIExchanges Amazon Web Services (AWS), Google Cloud, Microsoft NVIDIA, AMD, Arm, Apple, Cisco, Databricks, Datarade, Hugging Face, IBM, Intel Corporation, Qualcomm, Snowflake AVEVA, ABB, Honeywell, Rockwell Automation, Schneider Electric, Siemens BCD iLabs, BrainBox AI, causaLens, Chemical.AI, Kelvin, ketteQ, minds.ai, parabole.ai, SKAIVISION, SparkCognition, TwinThread

🕵️♂️ parabole.ai Agent Video Release: 🔎🌟 Causal Inferencing agencies enable multi-objective optimization. Today we introduce our latest ENERGY USAGE OPTIMIZATION AGENT, representing the vanguard in optimizing operational costs and reaching decarbonization goals. Developed on Parabole.ai’s TRAIN platform, this agent solution helps energy-intensive industries reduce costs by over 5% and cut carbon footprints by approximately 10%. This latest Agent joins the growing library of powerful agents built on TRAIN, we are only getting started! #Causality #ai, #processcontrol #decarbonization #oilandgas #chemicals #sustainability #generativeai #causalAI

🕵️♂️ parabole.ai Agent Video Release: 🔎🌟 Causal Inferencing agencies enable multi-objective optimization. Today we introduce our latest ENERGY USAGE OPTIMIZATION AGENT, representing the vanguard in optimizing operational costs and reaching decarbonization goals. Developed on Parabole.ai’s TRAIN platform, this agent solution helps energy-intensive industries reduce costs by over 5% and cut carbon footprints by approximately 10%. This latest Agent joins the growing library of powerful agents built on TRAIN, we are only getting started! #Causality #ai, #processcontrol #decarbonization #oilandgas #chemicals #sustainability #generativeai #causalAI

Join us online at Gurobi Days Digital 2024 to learn how our partners at Parabole.ai use multi-objective procurement planning optimization agents built on Casual AI and Gurobi Solver. Don't miss the live session with CEO Rajib Saha - register today: https://lnkd.in/exs45a43