The growing volume and variety of unstructured data are driving a shift towards modular, scalable systems that can handle diverse data types across global operations. This transition presents both challenges and opportunities, from ensuring regulatory compliance to unlocking new insights from previously untapped sources. We've looked into the evolving landscape of unstructured data in large enterprises and put together thoughts about its impact on data architecture strategies. Companies included: Hugging Face, OpenCV.ai, Roboflow, Encord, Voxel51, Coactive AI, Deepgram, AssemblyAI, Redpanda Data, Graphlit, by Unstruk Data, MinIO, SurrealDB, LanceDB, Marqo, Milvus, Vespa.ai, TerminusDB, Kumo.AI, Roe AI, OmniAI, Presto, Dremio, Vectorize, Sentra, unstructured.io, Adept, Helsing, Archetype AI, Owkin, RAIC Labs (formerly Synthetaic), 🔭 Galileo, Cleanlab, bem. https://lnkd.in/eRRQMNGF
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AI, Data Compliance & Ethics | Fellow at ForHumanity and certified AI auditor | Startup founder and board advisor | Podcaster and Author
#Fairness in #AI : A Matter of #Nature or #Nurture? The biases seen in AI systems are a product of their 'nature'—the algorithms and models they are built upon—or 'nurture', the data they are fed and the environments in which they are developed and deployed. #Nature: The #Algorithms Behind #AI At the heart of every AI system lies its architecture, its very 'DNA'- complex algorithms. Looking deeper into the principles of machine learning and the ethical considerations in algorithmic design enhances better nature of AI. #Nurture: The #Data and #Environment No AI can exist in a vacuum. They learn from vast datasets, absorbing the nuances and biases present in the information they are given. Consider #diversity and #inclusivity not just in #data, but among the teams that #build and govern AI technologies. #AIFairness #DigitalEthics #MachineLearning #DiversityInTech Strike the #balanace The quest for #AIfairness is not just about adjusting the #algorithms or curating balanced #datasets; it's about understanding the interplay between the nature and nurture of AI.
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You don't have to be in technology to be thinking about AI and it's possibilities. Everything we do has data and AI begins with data! Day 2 at IBM Think 2024 #think2024 #statestreet #ai #generativeai #boston #technology #ibm
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Imagine having your very own internal AI brain, ready to tackle complex data, make sense of it, and empower your business with a legion of AI agents. Data is the fuel for AI. The cleaner it is, the better AI will perform. Whether your data is colossal or compact, well-organised or tangled, our InfraHive's data processing can handle it. It has two techniques to handle processing: 'Automate' for non-tech users and 'Manual' for tech-savvy individuals. This transforms tasks that once took weeks into mere minutes. Our team, with more than 9 years of experience in data engineering, crafted this carefully. Meet InfraBrain: InfraHive's internal AI brain. Get started for your organisation here: https://infrahive.io. Dushyant Kumar 🐝 InfraHive
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Consider this a modest yet significant leap toward developing highly efficient swarms of AI agents. These agents have the potential to orchestrate a broad spectrum of tasks and systems, given the right access permissions. While the possibilities are quite promising, they also give me a sense of unease. After all, we already have a plethora of non-AI services that offer enormous yet sometimes unpredictable capabilities. #AutoGPT #langchain #RAG #LLM #BigData #SOA
This is why Karpathy recently said "AutoGPT is the next frontier of prompt engineering" AutoGPT is the equivalent of giving GPT-based models a memory and a body. You can now give a task to an AI agent and have it autonomously come up with a plan, execute on it, browse the web, and use new data to revise the strategy until the task is completed. It can analyze the market and come up with a trading strategy, customer service, marketing, finance, or other tasks that requires continuous updates. There are three components to it: 1. Architecture: It leverages GPT-4 and GPT-3.5 via API. 2. Autonomous Iterations: AutoGPT can refine its outputs by self-critical review, building on its previous work and integrating prompt history for more accurate results. 3. Memory Management: Integration with @pinecone allows for long-term memory storage, enabling context preservation and improved decision-making. 4. Multi-functionality: Capabilities include file manipulation, web browsing, and data retrieval, distinguishing AutoGPT from previous AI advancements by broadening its application scope. ↓ Are you technical? Check out https://AlphaSignal.ai to get a weekly summary of the latest research and breakthroughs in AI. Read by 100,000+ engineers and researchers.
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Watch the story of Zilliz, and learn how their Vector Database for Enterprise-grade AI can be useful for your enterprise to create AI/ML applications stunningly easy and fast, no matter their size. #Zilliz #USA #InStartupWeTrust https://lnkd.in/g6BbRBZW
Vector Database for Enterprise-grade AI | Zilliz, USA
startupboomer.com
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Let's talk about vector databases 👨💻 Firstly, what are they ❓ A vector database is based on vector embeddings, which is a sort of data encoding carrying information that aids AI systems in interpreting data and in maintaining long-term memory. They are designed to store and manage data in vector format. Who uses vector databases? 🔍 Vector databases are for developers who want to create vector search powered solutions (used alot in AI). An application developer can use open-source models and foundational model services to generate embeddings. Why are they important and relevant? In the midst of 'the rise of GenAI' applications and builds, we need to store the meaning of unstructured data in a way which makes it easy for machines to process and understand. Vector stores are pivotal in bridging the gap between the computational capabilities of GenAI applications and the symbolic nature of language. The indexing and search algorithm features of vector DBs make them very attractive propositions in AI solutions. Image credits: thenewstack.io #vectordatabase #machinelearning #genai
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𝑼𝒏𝒗𝒆𝒊𝒍𝒊𝒏𝒈 𝒕𝒉𝒆 𝑫𝒂𝒕𝒂 𝑨𝒏𝒏𝒐𝒕𝒂𝒕𝒊𝒐𝒏 𝑹𝒆𝒗𝒐𝒍𝒖𝒕𝒊𝒐𝒏❗ 💻🌍 As we step into the future of AI and machine learning, the Global Data Annotation Market is experiencing remarkable growth! 📈 𝗠𝗮𝗿𝗸𝗲𝘁 𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝗨𝗻𝗹𝗲𝗮𝘀𝗵𝗲𝗱: The Data Annotation Market is not just growing; it's evolving! Stay tuned for in-depth analyses and market reports providing a roadmap for businesses to navigate and thrive in this dynamic landscape. 🔮 𝗙𝘂𝘁𝘂𝗿𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝗶𝗼𝗻𝘀: The trajectory of the global data annotation market is poised for continued growth. With advancements in AI technologies, the demand for labeled data will only intensify, creating new opportunities for businesses and professionals in the annotation ecosystem. Dive deeper with us into the pulse of the Global Data Annotation Market as it continues to redefine the future of artificial intelligence. Connect now to explore the limitless possibilities. Visit our website: www.acotebpo.com #TextAnnotation #AIRevolution #DataAnnotation #MachineLearning #Innovation #TechAdvancement #AIJourney #airevolution #DataAnnotationMastery #DataAnnotationPowerhouse #PrecisionCrafting #AnnotationAesthetics #ElevateWithUs #DataAnnotationExcellence #datamagic #annotations #annotation #transforminginsights #data #images #audiotranscription #videotranscription #videos #tagging #bestofthebest #perfection #ImageAnnotation #VideoClarity #VisualIntelligence #VideoEnhancement
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What if you could turn operational challenges into breakthroughs with AI? 🌟 Adam Ukleh, our computer vision research engineer, in his latest article shared how we at DNAi transform complex problems into innovative AI solutions. Briefly, we focus on...: 🔍 Understanding the Client’s Vision We dive deep into each client’s challenges, addressing root causes and expanding their vision with AI applications. 📊 Data Collection: The Backbone of AI We prioritize high-quality data collection to ensure effective AI models, from factory setups to unique environments. 💡 Prototyping: From POC to MVP We start with a Proof of Concept and refine it into a deployable MVP based on real-world data. 🚀 Scaling and Deployment We scale the solution, integrating it seamlessly into the client’s operations and adapting to diverse environments. 🔄 Continual Improvement and Training We optimize our AI models continuously and collaborate with clients to refine and expand their product visions. 📈 The Impact of Tailored AI Solutions Our robust AI systems evolve with client needs, transforming challenges into triumphs in computer vision. Ready to enhance your operations with AI? Reach out to explore how we can help. 🔗 Read the full article here: https://lnkd.in/eYke3DEP #AI #TechSolutions #Innovation #Automation #Optimization #ClientSuccess #DNAi
I follow a principle I like to call “garbage in — garbage out”
dnaicompany.medium.com
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In today's data-driven world, the synergy between AI and databases is more important than ever. A robust and well-structured database forms the backbone of any successful AI integration, enabling precise data handling, real-time analytics, and intelligent decision-making. Companies investing in their data infrastructure lay the groundwork for innovative AI applications that drive business growth and efficiency. Ensure your data foundation is solid to unlock the full potential of AI! #AI #DataIntegration #DatabaseManagement #Innovation #TechTransformation #credesoft #systemintegrater #database Contact me for Database services.
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Co-Founder & CEO @ bem
2w🙇 Thanks for the mention! I'm particularly excited about introducing paradigms like ours as pure primitives that can evolve as infrastructure layers, rather than isolated business processes.