DeepSeek AI is shifting the conversation around open-source AI models. ?? This week, DeepSeek-R1 made waves by demonstrating that an open-source model can rival GPT-4 Turbo, which sparked discussions about the future of AI accessibility and innovation. Unlike closed models with paywalled access, DeepSeek’s approach prioritizes transparency, collaboration, and developer freedom. The AI space is evolving quickly, and the way companies position themselves shapes the future of how we build and use AI. DeepSeek-R1 is trained on an unprecedented amount of data, making it one of the most powerful open models available today. The release has led to questions: ?? Will open-source continue to challenge proprietary AI dominance? ?? How will businesses balance performance with data privacy? ?? And what does this mean for the next wave of AI-powered tools? One thing’s for sure: Open-source AI is proving that competition is only getting more intense. What are your thoughts on DeepSeek-R1? Is open-source the future of AI? Drop your take in the comments. #AI #DeepSeek #opensource
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#discussion #update With Artificial Intelligence keeping all of us on our toes, it is time we discuss how the next-gen technology is impacting the market research domain. Join us on the 17th of October 2024 where we discuss "The Right Approach". Use the following link to register and stay ahead of the curve: https://shorturl.at/MvDjv In case you cannot make it to the live sessions, register anyway and get access to the recording! It is a win-win! #artificialintelligence #marketresearch #AI #dataresearch #DataQuality #MRX #dataintegrity #dataanalysis #rawdata #technology #nextgentech #innovation #technologyinmarketresearch #techinresearch Internet Research Bureau Ashutosh Singh Shakti Kumar Anurag Sinha Opinion Bureau Doug Slohm
?? Just a few days before we go live with our next webinar on Primary Data vs Synthetic Data with AI: The Right Approach! We'll discuss the critical differences between these data types and cover some practical insights, cutting-edge strategies, and the right approach to leverage data effectively in your projects. Join Doug Slohm, Anna Marszalik-Kraszewska, Andrew Santana, and Richard Preedy on Oct 17th at 11.30am EST and learn about: - some parameters to keep in mind with synthetic data - best practices for using primary vs. synthetic data, or both - ethical impacts of using synthetic data in our studies - tools and technologies for working with synthetic data Stay ahead in the data-driven world and register today: https://shorturl.at/MvDjv Can't make the live session? Register anyway and get access to the recording! #IRB #MRX #MarketResearch #DataQuality #ResearchPanels #BigData #SyntheticData #AI
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Uncover real-world applications and understand how and when to grasp and leverage synthetic data effectively. Data confusion? Not so anymore! Join us on October 17th for an insightful discussion on Primary Data v/s Synthetic Data with AI. Register today! #discussion #update #webinar
?? Just a few days before we go live with our next webinar on Primary Data vs Synthetic Data with AI: The Right Approach! We'll discuss the critical differences between these data types and cover some practical insights, cutting-edge strategies, and the right approach to leverage data effectively in your projects. Join Doug Slohm, Anna Marszalik-Kraszewska, Andrew Santana, and Richard Preedy on Oct 17th at 11.30am EST and learn about: - some parameters to keep in mind with synthetic data - best practices for using primary vs. synthetic data, or both - ethical impacts of using synthetic data in our studies - tools and technologies for working with synthetic data Stay ahead in the data-driven world and register today: https://shorturl.at/MvDjv Can't make the live session? Register anyway and get access to the recording! #IRB #MRX #MarketResearch #DataQuality #ResearchPanels #BigData #SyntheticData #AI
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Curious about what makes synthetic data so crucial to RAG Evaluation? Dive in to discover the essentials. ?? Tired of struggling with Retrieval Augmented Generation Evaluation and not getting the best out of your AI models? You’re not alone. Mastering RAG Evaluation is the first step. But without high-quality Synthetic Data, your efforts might fall short. These two elements are the secret ingredients that can transform your AI's performance from good to exceptional. Ready to take your AI to the next level? Explore the full article and discover how RAG Evaluation and Synthetic Data are the game-changers you need: https://buff.ly/4dMNDRc Have questions or insights? Share them in the comments, and if this hit home, give it a like. #innovation #artificialintelligence #datasecurity #RAG #vectordatabase
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This is exceptionally top of mind if you're in a SaaS model where you have to include multi-tenancy in your architecture and software planning - not only how does your clients' data disappear into the black hole of GenAI models, but what happens when it's multiple clients intermingling? A hundred lawyers' eyes all just twitched.
Principal at KPMG | Global Data, Cloud, AI Leader| U.S. Data Modernization Leader | Avid Skier & Snowboarder |
As we explore the boundary between data and AI and the notion of trust in data, there is one challenge that really stands out to me. What happens to your data once you use it to optimize a large language model or enter it in a generative AI tool? In machine learning, there are limitations to removing data once it’s been used. This issue has significant implications on data retention, data contracts, and data rights and can limit how third-party data can be used. Businesses will need to consider how they manage machine UN-learning in 2025. #BigIdeas2025 #KPMGTechnology #Data #AI #DataModernization #MachineLearning
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High-quality, well-curated data is the fuel needed to power accurate, fair and efficient AI models.?? As highlighted by CB Insights, ensuring high-quality data for machine learning models isn't just about gathering large datasets—it's about carefully curating and refining that data. We are happy to equip our #opensource-community with the best tools and resources needed to get the most out of their data. Good data curation helps organizations to: ?? Only select the most useful and relevant data for training ?? Improve model performance and reduce bias ?? Reduce data related costs such as storage and labeling It's great to see our friends from Lightning AI, BentoML & Snorkel AI in this space. Let's create more robust datasets together, to power accurate and reliable models.?? #Opensource #AI #MachineLearning #DataCuration #DataQuality #AIDevelopment #AITraining ?
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?? Piecing together the puzzle of primary vs. synthetic data in AI? ???Andrew Santana, Head of Panel Management at Remesh, will be sharing expert insights on leveraging both primary and synthetic data to enhance AI-driven market research and customer insights. ?? Join Andrew and other industry experts at this insightful panel: "Primary Data vs Synthetic Data with AI: The Right Approach," on October 17th. Hosted by the Internet Research Bureau and moderated by Doug Slohm. ?? Uncover real-world applications and finally grasp when and how to leverage synthetic data effectively. Don't let data confusion hold you back any longer! ?? Register now:?https://lnkd.in/gFd-2NRS
?? Just a few days before we go live with our next webinar on Primary Data vs Synthetic Data with AI: The Right Approach! We'll discuss the critical differences between these data types and cover some practical insights, cutting-edge strategies, and the right approach to leverage data effectively in your projects. Join Doug Slohm, Anna Marszalik-Kraszewska, Andrew Santana, and Richard Preedy on Oct 17th at 11.30am EST and learn about: - some parameters to keep in mind with synthetic data - best practices for using primary vs. synthetic data, or both - ethical impacts of using synthetic data in our studies - tools and technologies for working with synthetic data Stay ahead in the data-driven world and register today: https://shorturl.at/MvDjv Can't make the live session? Register anyway and get access to the recording! #IRB #MRX #MarketResearch #DataQuality #ResearchPanels #BigData #SyntheticData #AI
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Really looking forward to this discussion. A clear understanding of both Primary and Synthetic data is the key to more effective data management and strategic decision making. Kudos to the IRB Team for organizing this insightful session. #informationispower #datastrategy
?? Just a few days before we go live with our next webinar on Primary Data vs Synthetic Data with AI: The Right Approach! We'll discuss the critical differences between these data types and cover some practical insights, cutting-edge strategies, and the right approach to leverage data effectively in your projects. Join Doug Slohm, Anna Marszalik-Kraszewska, Andrew Santana, and Richard Preedy on Oct 17th at 11.30am EST and learn about: - some parameters to keep in mind with synthetic data - best practices for using primary vs. synthetic data, or both - ethical impacts of using synthetic data in our studies - tools and technologies for working with synthetic data Stay ahead in the data-driven world and register today: https://shorturl.at/MvDjv Can't make the live session? Register anyway and get access to the recording! #IRB #MRX #MarketResearch #DataQuality #ResearchPanels #BigData #SyntheticData #AI
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Not Every Hammer Needs a Nail: A Pragmatic Approach to AI in Data Strategy. This is a topic that I have been thinking about for a while. In the current age we are in, where it seems everyone is panning for that AI gold, it's easy to assume every business problem needs an AI solution. But the reality is that sometimes the simplest tools, or traditional methods, can be just as effective. In this blog I explore when to pick up the AI hammer and when to stick with simpler tools based on my recent experience. https://lnkd.in/g5bJyCDG Or don’t have time to read? We’ve got you covered, with our captivating video version of this blog on our YouTube Channel. And don't forget to subscribe! https://lnkd.in/gRgrUBki #DataTiles #Latttice #DataStrategy #AI #DataManagement #DigitalTransformation #Nocode
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This is an excellent perspective from Los Angeles County Registrar-Recorder/County Clerk's, Jeramy Gray about AI. AI is a tool that can be incredibly powerful when used responsibly and ethically. Government needs to continue to invest in technology. Building a strong IT foundation is essential for successful AI implementation. Let's break down silos and create a data-driven government. #AI #government #innovation #technologyinvestment #humancentereddesign #futureofwork
Commentary: An Insider’s Road Map for AI in Government
insider.govtech.com
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?? Fun Fact: Can Humans Keep Up with AI? ?? Did you know that an AI system generating 100 tokens (words) per second, running continuously for 30 days, produces a staggering 259.2 million words? ?? That’s equivalent to a library of text created in just a month! Now, let’s put this into perspective: ?? A human, reading at an average speed of 150 words per minute for 8 hours a day, would need approximately 9.86 years to read it all! Yes, almost a decade. ?? This highlights the incredible scale of AI’s capabilities in generating content—and the growing need for efficient tools to process and summarize information. It’s not just about speed; it’s about making this information actionable and meaningful. How do you see AI reshaping the way we process massive amounts of data? ?? Let’s discuss! ?? #AI #Productivity #DataProcessing #ArtificialIntelligence #HumanVsMachine
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