causaLens on LinkedIn: #causalens #causalai #agenticai #llms #genai #causal (2024)

🛍️ Unlocking Retail's Future with Causal AI: A Game-Changer for Decision-MakingIn the constantly evolving world of retail, many enterprises still struggle to turn their vast amounts of data into genuinely meaningful and actionable insights. That's where Causal AI steps in, revolutionizing the way retailers make decisions. Causal AI goes beyond traditional predictive analytics, allowing Retail, E-commerce, and CPG enterprises to uncover the true drivers of their business performance. By understanding the causal relationships between these variables, they make informed, data-driven decisions that optimize everything from profitability to customer experience.4 Key Takeaways from our article:1. Causal AI provides a deeper understanding of what's driving results, not just what might happen.2. It offers unparalleled transparency, enabling stakeholders to trust and integrate AI-powered insights across the organization.3. Causal models empower Retailers to optimize decision-making, testing strategies, and scenarios before implementation.4. Leading retailers like Sam's Club and Bergfreunde are already harnessing the power of Causal AI to gain a competitive edge.Read the full article to see how Causal AI is transforming the retail industry: https://lnkd.in/eVmH6bN3Ready to unlock your company's true potential? Try our free Causal AI platform and start making more informed, data-driven decisions today: https://lnkd.in/e4PUjkcA#RetailInnovation #CausalAI #AI #FutureTechnology #causaLens

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“The problem with traditional AI machines is they are essentially pattern-matching engines. They look for patterns in the data, and they associate outcomes with patterns. But they mistake correlation for causation. It's a challenge that humans have, and a challenge that AI machines have as well.”Recently, Maksim Sipos, our Chief Scientific Officer and co-founder was invited to talk at the World's Top 50 Innovators 2024 hosted by CodexTalks, and discussed "Why is causality key to making AI robust and trustworthy?"Some really great insights, watch the talk: https://lnkd.in/euEyucFmWant to learn more about our recent work on grounding LLMs in Causal Reasoning?: https://lnkd.in/eVWNtjEu #causalai #causalens #ai #genai #futuretech

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“Causal inference is crucial for decision making in digital product development.. [it] allows us to understand & measure the impact of digital products”It was great to have Naveed Sharif & Jeffrey Groesbeck from Kaiser Permanente speak at our Causal AI Conference in San Francisco. Some key takeaways:1️⃣ Kaiser Permanente leverages its integrated healthcare model and rich longitudinal data to apply causal inference in designing digital products, improving patient care, and addressing clinician burnout.2️⃣ A case study on prescription notifications demonstrated how causal inference (using a differences-in-differences approach) revealed that refill reminders increased both medication adherence and over-utilization, leading to actionable insights for improving the system.3️⃣ Causal AI offers advantages over traditional AI in healthcare by enabling evidence-based interventions, personalized medicine, operational optimization, and more ethical decision-making.4️⃣ The future of Causal AI in healthcare promises more effective, personalized care plans, better resource allocation, and improved patient outcomes by identifying root causes in complex healthcare systems.Don't miss out on the opportunity to talk to great people like Naveed & Jeffrey live on successful implementations and real-world use cases, sign-up to our next CAI Conference live in London: https://lnkd.in/e3YmFZPvWant to get hands-on with Causal AI?: https://lnkd.in/e4PUjkcA#cai24 #causalens #kaiserpermanente #causal #causalinference #digitalproduct #techconference #futuretech

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🚀 Exciting News: Our Latest GenAI Blog is Here! We're thrilled to share our latest blog post: "LLMs and Causal AI: The Power Duo Revolutionizing Business Decision-Making"In this article, we explore how Fortune 1000 companies are leveraging the combined power of Large Language Models (LLMs) and Causal AI to:✅ Make more accurate, data-driven decisions✅ Conduct robust "what-if" scenario planning✅ Generate reliable, context-aware business insights✅ Mitigate risks in complex business environmentsDiscover how this powerful integration is transforming: Marketing Strategies; Supply Chain Optimization; Product Development ...and much more!Read the full article here: https://hubs.li/Q02JbFM90#AI #BusinessIntelligence #DecisionMaking #CausalAI #causaLens #InnovationWhat's your take on the integration of LLMs and Causal AI? Share your thoughts in the comments below! 👇

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Easily identify changes in causal structures over time and discover causal graphs for each time window 🫡✅Causal structures evolve over time in most real-world problemsDomain experts/Business stakeholders often find it unrealistic to fit 1 causal graph in the entire dataset & lose their trust in the methodsWe recently added the just-in-time causal discovery framework to address these challengesInspired by the paper “Causal Discovery for Non-stationary Non-linear Time-series Data Using Just-In-Time Modeling” (link: https://lnkd.in/e4n2EQgi), users can now combine the just-in-time framework with 10+ causal discovery algos to identify the time points at which the causal structure changes + discover the causal graph in each windowGreat work by our R&D team and a useful feature for applying causal discovery in the real world.Try it out in our free trial: https://lnkd.in/e4PUjkcA

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🌟 The Causal AI Conference is coming to London 🇬🇧Following our success in San Francisco this June, with 2,500+ attendees from over 50 countries, we're bringing cAI back home!📅 Date: September 24th, 2024📍 Location: Central London & Global Livestream✍ Register: https://lnkd.in/d3Qvz6_kWhy attend?Three Specialized Tracks:1️⃣ Business Track: Discover how global leaders leverage Causal AI for strategic advantage.2️⃣ Data Science Track: Deep dive into technical aspects with industry experts.3️⃣ Hands-on Causal AI Workshops: Gain practical skills you can apply immediately.World-Class Speakers: Building on our tradition of hosting luminaries like Judea Pearl and Nobel Laureate Guido Imbens, we're featuring over 25 thought leaders from BP, Spotify, Booking.com, and more!Networking: Connect with C-suite executives, data scientists, and academics shaping the future of AI.Cutting-Edge Content: Learn how the world's largest organizations use Causal AI to drive real value👉 Register now to reserve your spot: https://lnkd.in/d3Qvz6_kIn-person attendance is also free but limited and subject to application approval. Apply now to secure your spot!#cai24 #causalens #london #conference #techconference #ai #event #techleaders

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According to experts at the World Economic Forum's Annual Meeting of the New Champions in China, AI agents are set to revolutionize decision-making and productivity. Read the article here: https://lnkd.in/dqe65pWVDarko Matovski, PhD, our Founding CEO, shared the following on the future of AI:· We're heading towards a world where 99% of intelligence will be artificial, with human intelligence as a crucial backstop.· AI agents will "unleash a tremendous amount of productivity and potentially a massive improvement in decision-making."· Causal AI, which understands cause-and-effect relationships, is critical to unlocking enterprise and policy decision-making use cases.· There's enormous potential for GDP growth and better distribution of resources through AI adoption.There was also an emphasis on balancing autonomy and human oversight in AI applications. As we navigate this transition, we must ground AI in causal understanding for real-world impact.Interested in how causal reasoning can enhance LLMs and agent technology? Check out our whitepaper: https://lnkd.in/dAa6reyQ#CausalAI #causalens #AIAgents #FutureOfWork #DecisionMaking #AI

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OpenAI champions causal ai??😍😅It seems like gpt5 and, soon, AGI will not be solving their internal revenue, pricing & usage optimization use cases any time soon.So, they are hiring Data Scientists to combine experimentation & observational causal inference to address themLink to job ad: https://lnkd.in/eVP34Ywm @Sam:- Our platform can significantly accelerate your Causal AI journey 🫡you can try it out: https://lnkd.in/e4PUjkcA- You may also enjoy our causal grounding features, helping LLMs with quantitative decision-making: https://lnkd.in/eVWNtjEu#causalai #causalens #openai #chatgpt #gpt5

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🔍 Grounding LLMs: The Missing Piece in Your AI Strategy? 🧩Did you miss our latest blog post, "Grounding LLMs: Your Competitive Advantage in the GenAI Revolution"?We delve into generative AI (GenAI) and large language models (LLMs), exploring their optimal applications in the business world. Discover the potential enhancements of LLMs through grounding and the strategies to achieve this, resulting in more precise and dependable AI systems.🔗 Read the full blog here: https://lnkd.in/eAhX83_KOr download our in-depth whitepaper on the opportunities presented by combining Causal AI with LLMs: https://lnkd.in/eX_TppUt#GenerativeAI #LLM #FutureofAI #TechTrends #causalAI #causaLensHas this sparked any new ideas for your AI strategy? Share below! 💡

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