Moudy Elbayadi, Ph.D.’s Post

Are you concerned about the risks associated with rapid AI deployment? You're not alone. Many organizations face challenges in balancing deployment velocity with risk management. With LaunchDarkly, you can control the impact of every change, enabling safe, quick, and efficient feature management. This means you can deploy the next great AI feature faster and with confidence, knowing all risks are managed. Discover how our feature flags can transform your deployment strategy. Check out LaunchDarkly's AI landing page with all the information you need. Let me know if you would like to chat about safely deploying AI. https://lnkd.in/g4FvwWYH #AI #ArtificialIntelligence #FeatureManagement #DevOps #TechInnovation #SoftwareDevelopment #LaunchDarkly #ContinuousDelivery #FeatureFlags

I've been leading AI teams to build #LLM based solutions for about 18+ months now that have been (largely) based on #RAG design pattern. I will list my top key take-aways for next few days. This post isn't technical and is meant for you if you are (or are about to) leading large AI practice that leverages #GenAI. Disclaimer - I'm neither an AI engineer, nor a ML expert. Just a guy who loves building things and is blessed with an inordinate amount of Right-place-right-time moments.

How do you think MLOps can streamline AI project workflows? The MLOps Project Lifecycle with Alexander Machado, Head of Trustworthy AI, explores the end-to-end process of managing machine learning models in production, from development to deployment and monitoring. #MLOps #AI #MachineLearning #DataScience #DevOps #ModelDeployment #AIWorkflow #MachineLearningLifeCycle #AIEngineering #DataDriven

OpenAI leader cautions: “GPT-5's automation capabilities are unprecedented—and will magnify organizational weaknesses.” Jamie and I often discuss the importance of preparing for The Insight Age. Sometimes, people ask us, “What’s the harm in waiting? Enterprise-level AI technology isn’t quite ready yet anyway.” Our response has always been straightforward: “You’re not going to participate in the Insight Age until you fix your data debt, cultural debt, and operations debt. Essentially, you’ll miss out on the most transformative opportunity since the rise of the internet.” But a recent conversation with a Silicon Valley leader highlighted an even more concerning issue. He warned that if you're not prepared and you add AI, it will actually accelerate your downfall – which is exponentially more dangerous than just missing out. AI won’t magically “fix” all our problems. In fact, the first steps of an AI implementation may be to AUTOMATE our inefficiencies. To amplify the noise in our systems. To hardwire and accelerate our WORST practices. This caution comes directly from the leadership team at OpenAI. They recently advised one of our C-level contacts to be careful, as the release of GPT-5 could AMPLIFY existing inefficiencies. It will effectively accelerate whatever state your operations are currently in. And that may not be a good thing. Imagine a motor with old, worn-out gears and parts that don’t quite fit. Now, if we put rocket fuel in that motor and redline it, pushing the sand through the gears at an even faster pace, what do you think will happen? What’s going to happen with your organization’s inefficiencies when you do that with AI? Stay tuned for more real-time insights as we continue to navigate the rapidly evolving landscape of AI and The Insight Age. #TheInsightAge #AI #AITransformation #OpenAI #AIInnovation

🚀 From MLOps to LLMOps to AgentOps: Operationalizing the Next Generation of AI 🚀 As AI evolves, so does the complexity of managing its deployment in real-world applications. What began with MLOps has grown into LLMOps for large language models and AgentOps for autonomous agents, each with unique technical demands and business opportunities. Here’s a breakdown of each: 🔹 MLOps – Streamlines the machine learning lifecycle from development to production, enabling scalable, reliable deployment across industries like manufacturing (predictive maintenance), finance (fraud detection), and retail (personalized marketing). 🔹 LLMOps – Optimizes large language models for real-time applications such as e-commerce chatbots, content generation in media, and legal document summarization. With prompt engineering, fine-tuning, and ethical safeguards, LLMOps ensures LLMs are efficient, responsive, and aligned with business goals. 🔹 AgentOps – The next frontier, focusing on autonomous agents that make decisions and adapt independently. From customer service automation to intelligent tutoring and insurance claims processing, AgentOps enables agents to operate dynamically, making processes faster, smarter, and more efficient. Comparative Benefits: 💰 Cost Efficiency 🌐 Scalability ✅ Compliance and Safety ✨ Operational Efficiency Each of these operational layers empowers organizations to scale AI responsibly, ethically, and efficiently. Embracing MLOps, LLMOps, and AgentOps is essential for businesses looking to harness AI's full potential. #AI #MLOps #LLMOps #AgentOps #MachineLearning #ArtificialIntelligence #TechInnovation #BusinessGrowth

Pioneering the future of Generative AI with a strong focus on ethical standards! By eliminating the complexities of data and the steep learning curve of traditional queries, it allows you to simply ask questions in your own words and let Generative AI and LLMs work their magic. Our LLM consulting and Generative AI development services equip enterprises with both public and custom-built models, enabling them to craft engaging narratives, automate processes, and deliver smooth conversational experiences powered by their proprietary data. For more info, explore at, https://samprasoft.com/ #Samprasoft #CloudMigration #LLM #LargeLanguageModel #LLMDevelopment #GenAI #AIinnovation #ArtificialIntelligence #AdvancedAnalytics #BusinessIntelligence #BusinessGrowth #CloudMigration #DataAnalytics #ITconsulting #BusinessSolutions #DevOps #DigitalTransformation #LLM #GenAI #CloudSolutions #DigitalInnovation

Apparently 90% of AI Projects Fail. Not the ones I’m involved in. Tomorrow I’m sharing the 5 most common ways AI projects go sideways and how to unf*ck them immediately. Built on 15+ years building big data, AI, ML companies and 1400+ management consulting engagements with startups to banks with billions. It’s a big-ass post. Give me a follow at Aaron Vidas and it’s yours tomorrow. #ai #privateequity

AIOps vs. MLOps vs. LLMOps: Navigating the future of AI operations Adopting AI, using machine learning models, or deploying LLMs? Learn the difference between AIOps, MLOps, and LLMOps to optimize your IT operations. https://lnkd.in/gYbmJtY5 #tech #ai #ml #innovation #pluralsight #llm

If you're a manager of a data team, lead on digital transformation or even a frontline business function and you plan to integrate Generative AI into your company's workflows, don't undermine the importance of three key foundations: 1️⃣ Having plan for teaching your employees how to get the most out of their interaction with the AI tool, for this check out the concept of 'prompt engineering'. OpenAI have a fairly comprehensive introduction here: https://lnkd.in/ea6kQxg3 2️⃣ Have a plan for how you will test the validity of the tools outputs and, if you can, set up an accessible admin configuration console so you can make changes easily from one point, to save any embarrassment in the future or be totally dependent on a third party. 3️⃣ Have a plan for how you will manage existing data quality challenges and the associated risks therein (many people forget about this, but it is crucial). Even if you don't directly get involved in planning-out the response to these key areas, make sure you ask the questions and ensure someone is doing these! #genai #ai #promptengineering #aistrategy #copilot

Behavioral patterns up and down hierarchies will need to change in ways organizations are not ready for. Do I know all the ways, no... no one does. But I know some things that will be very helpful to understand - complexity thinking, systems thinking, and sense-making techniques 😉 #learn #adapt #evolve