"Data has long been the foundation of AI, and remains critical for the generative AI revolution. My experience developing linguistic data at both Amazon and a variety of startups has proven to me that high-quality data is the real game changer for driving advancements in performance". We were honored to have Dr Karin Golde contribute to the Ultimate Guide for AI Data Pipelines. If you are working on releasing an AI product. you need to get your data ready for AI! How does that work ? What are the steps to follow to obtain a high quality data output that will help train a high performing model? We are telling you everything you need to know!...And even more in our FREE Ultimate Guide to AI Data pipelines. Get a copy below ?? Enjoy! It's on us ?? https://mltwist.com/guide/ #datapipeline #etlfora #dataquality #datacleaning #datalabeling #datatransformation #dataopsforai
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?? AI's potential in the public sector is transformative, especially in tackling the vast amounts of unstructured data that government entities handle daily. Tom Christian, AI/ML Platform Lead at Snowflake, highlights that AI can generate insights and value without waiting for perfectly structured data. Explore how AI is driving innovation and breaking down data silos in the full story. [Link in comments]
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Curious to know how to scale Generative AI? This “visual example” will help you to understand that ML pipeline automation is a key player in MLOps and LLMops too. To really scale AI within your organization, it's crucial to automate each step. Sure, manual handling might fly for one-off projects, but imagine juggling dozens, even hundreds of models in production—the operational overhead is no joke. Still skeptical? Dive into this real-world use case for proof. Trust me, automating your pipeline isn't just a boost; it's a game-changer for your AI strategy! Apologies for the fu*** ?? #genai #mlops #llmops #ai #ml
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Are you hitting roadblocks to AI success? Fast-track your AI journey by delivering clean, trusted data for AI models and redefining your data integration strategy. #DataIntegration #AI
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Data quality is an AI power practice and revenue multiplier. ?? Quality, curated datasets make more AI initiatives feasible by lowering delivery times and total costs. Curated datasets make the business more valuable and unlock new revenue streams. ?? Despite this, many unaware stakeholders are being convinced that generative AI is the solution. Remember that genAI relies upon a layer of data quality for machine learning. In a nutshel, no data quality = no acceptable accuracy for genAI. I have implemented machine learning and AI algorithms since 2014. Quality data is the foundation of every successful AI app and platform. #dataquality #dataengineering #datastrategy #generativeai #technology #innovation Post inspired by Vin Vashishta
Data quality is an AI power practice and revenue multiplier. ?? Quality, curated datasets make more AI initiatives feasible by lowering delivery times and total costs. Curated datasets make the business more valuable and unlock new revenue streams. ?? Despite this, many unaware stakeholders are being convinced that generative AI is the solution. Remember that genAI relies upon a layer of data quality for machine learning. In a nutshel, no data quality = no acceptable accuracy for genAI. I have implemented machine learning and AI algorithms since 2014. Quality data is the foundation of every successful AI app and platform. #dataquality #dataengineering #datastrategy #generativeai #technology #innovation Post inspired by Vin Vashishta
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Are you hitting roadblocks to AI success? Fast-track your AI journey by delivering clean, trusted data for AI models and redefining your data integration strategy. #DataIntegration #AI
Bring AI to life with next-level data integration
informatica.com
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Eduardo Ordax video is a hilarious reveal of the real "human in the loop" with most #ModelOps, #DevOps, #AIOps #pipelines - static scripts, python, limited tools, no unifying abstractions or principled architecture - leads to brittle, one-off "solutions" that won't scale well with activity, complexity or change. [[[Caution - expletives included]]]
Curious to know how to scale Generative AI? This “visual example” will help you to understand that ML pipeline automation is a key player in MLOps and LLMops too. To really scale AI within your organization, it's crucial to automate each step. Sure, manual handling might fly for one-off projects, but imagine juggling dozens, even hundreds of models in production—the operational overhead is no joke. Still skeptical? Dive into this real-world use case for proof. Trust me, automating your pipeline isn't just a boost; it's a game-changer for your AI strategy! Apologies for the fu*** ?? #genai #mlops #llmops #ai #ml
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AI and no-code platforms are undeniably the future, offering limitless possibilities for innovation and creativity. Embracing these technologies empowers everyone to bring their ideas to life without traditional barriers. Are you still saying no to NO CODE??? #bubble #nocode #ai #startups #mvp #saas #Mobileapp #bubblecon #artificialintelligence
“Building with No code will always be eaiser than building with code.” - Emmanuеl Straschnοv at #BubbleCon People think AI will kill no code. But AI will actually accelerate the adoption of no code. People want to building to be faster and easier. AI powered no code > AI powered code
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It's interesting to imagine the future comparison between AI-powered no-code and traditional AI-enhanced coding. But, to save your future self some time, as Matt Graham ???? wisely put it: 'AI-powered no-code > AI-powered code.' Sometimes, it's just better to keep things simple!
“Building with No code will always be eaiser than building with code.” - Emmanuеl Straschnοv at #BubbleCon People think AI will kill no code. But AI will actually accelerate the adoption of no code. People want to building to be faster and easier. AI powered no code > AI powered code
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Are you hitting roadblocks to AI success? Fast-track your AI journey by delivering clean, trusted data for AI models and redefining your data integration strategy. #DataIntegration #AI
Bring AI to life with next-level data integration
informatica.com
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