Data Analytics Chat’s Post

What tools do you think are essential for an efficient MLOps pipeline? Alexander Machado, Head of Trustworthy AI, covers key factors in selecting the optimal setup for machine learning operations. Watch episode here: https://lnkd.in/eq_rkdrW #MLOps #AI #Infrastructure #DataScience #MachineLearning #DevOps #TechTools

MLOps: 3 Levels of AI Maturity Explained Master MLOps: This video explores the transformative power of MLOps in AI, breaking down its 3 maturity levels and highlighting the shift from manual processes to automated efficiency. Learn how to optimize your machine learning projects! #MLOps #MachineLearning #AI #ArtificialIntelligence #DataScience #AWS #DevOps #Automation #MachineLearningOperations #Technology

What tools do you think are essential for an efficient MLOps pipeline? Alexander Machado, Head of Trustworthy AI, covers key factors in selecting the optimal setup for machine learning operations. #MLOps #AI #Infrastructure #DataScience #MachineLearning #DevOps #TechTools #AIEssentials #MachineLearningTools #DataScienceTips

At AWS re:Invent had a mind-blowing experience with the storytelling maestro, Scott Friend 🎭✨ Ever find yourself in this scenario? 🤔 You’re deep in the tech trenches, geeking out with your peers and your technical warriors about the latest architectural marvels and cutting-edge tech. But then… 😅 …you have to pivot and explain all that technical wizardry to the C-suite in a language they not only understand but get excited about! 🎩💼 Well, folks, I’ve got a game-changer for you! 🏆 Scott Friend has crafted a video that’s like a Rosetta Stone for tech-to-business translation. It’s your secret weapon for: • Demystifying AI and GenAI for decision-makers 🤖
• Helping execs navigate the AI landscape with confidence 🧭
• Accelerating AI adoption in your organization 🏃♂️💨 Trust me, this video is the bridge between geek-speak and boardroom-brilliance. It’s time to turn those puzzled looks into “aha!” moments! 💡 Who’s ready to become the AI whisperer in their company? 🙋♂️🙋♀️ #AITranslator #TechStorytelling #BusinessInnovation #AIAdoption #LeadershipInTech #storryTelling https://lnkd.in/gapn2rWY

What tools do you think are essential for an efficient MLOps pipeline? Alexander Machado, Head of Trustworthy AI, covers key factors in selecting the optimal setup for machine learning operations. #MLOps #AI #Infrastructure #DataScience #MachineLearning #DevOps #TechTools #AIEssentials #MachineLearningTools #DataScienceTips

Adopt serverless AI to scale faster and deploy smarter—no infrastructure hassle, just pay for what you use. Why It Matters 🤔: • Cost-Efficient: Only pay for the compute you need, perfect for AI inference tasks. • Faster Deployment: No servers to manage, just quicker launches and more agile experimentation. Key Considerations: • Cold Start Latency: Can affect real-time tasks, so be mindful of latency. • Training Limits: Serverless is great for inference, but training complex models may require more powerful infrastructure. Take Action: ⚡ Use serverless for scalable inference. 🔧 Pair with other tools for AI training if needed. 💡 How are you using serverless AI? Talk to us: https://buff.ly/4iUzEfB Or join The Chief AI Officer Program: https://buff.ly/45RiZDn #ServerlessAI #AIscaling #AIdeployment

MLOps is transforming how we operationalize machine learning, ensuring seamless automation, scalability, and reliability. Check out my latest blog, where I break down a practical MLOps architecture to streamline data pipelines, model training, deployment, and monitoring. 🌟 #MLOps #MachineLearning #AI #Automation

Adopt serverless AI to scale faster and deploy smarter—no infrastructure hassle, just pay for what you use. Why It Matters 🤔: • Cost-Efficient: Only pay for the compute you need, perfect for AI inference tasks. • Faster Deployment: No servers to manage, just quicker launches and more agile experimentation. Key Considerations: • Cold Start Latency: Can affect real-time tasks, so be mindful of latency. • Training Limits: Serverless is great for inference, but training complex models may require more powerful infrastructure. Take Action: ⚡ Use serverless for scalable inference. 🔧 Pair with other tools for AI training if needed. 💡 How are you using serverless AI? Talk to us: https://buff.ly/4iUzEfB Or join The Chief AI Officer Program: https://buff.ly/45RiZDn #ServerlessAI #AIscaling #AIdeployment

Adopt serverless AI to scale faster and deploy smarter—no infrastructure hassle, just pay for what you use. Why It Matters 🤔: • Cost-Efficient: Only pay for the compute you need, perfect for AI inference tasks. • Faster Deployment: No servers to manage, just quicker launches and more agile experimentation. Key Considerations: • Cold Start Latency: Can affect real-time tasks, so be mindful of latency. • Training Limits: Serverless is great for inference, but training complex models may require more powerful infrastructure. Take Action: ⚡ Use serverless for scalable inference. 🔧 Pair with other tools for AI training if needed. 💡 How are you using serverless AI? Talk to us: https://buff.ly/4iUzEfB Or join The Chief AI Officer Program: https://buff.ly/45RiZDn #ServerlessAI #AIscaling #AIdeployment

A big thank you to everyone who joined our webinar on AIOps and MLOps for Platform Engineering! Special thanks to TeraSky UK Field CTO, John Boero, for sharing his expertise on practical AIOps and MLOps applications, overcoming common pitfalls, and future-proofing your platform engineering career. His insights were invaluable. Did you miss the webinar? No worries! You can read our blog summary and watch the recording for all of the key takeaways and actionable insights – just click here: https://lnkd.in/dgsVAAht #AIOps #MLOps #PlatformEngineering #AI #Webinar