We attended Big Data LDN, the UK’s top data event, and uncovered game-changing insights for your data strategy 🤖🧠 From AI-driven personalisation to the future of data governance, it’s all here. Curious about which brands are leading the AI race? 🏃♂️💨 Or why building your data foundation now is critical for future growth? We’ve got the answers in our blog. 👉 Read the full blog for expert insights, real-world examples, and what your business needs to stay ahead https://lnkd.in/esrJ7sDG #AI #BigData #DataStrategy #Team #GenerativeAI #BigDataLDN
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If you missed BigData LDN and want to see our key takeaways, Harry and I consolidated our key insights into this 2 minute read
We attended Big Data LDN, the UK’s top data event, and uncovered game-changing insights for your data strategy 🤖🧠 From AI-driven personalisation to the future of data governance, it’s all here. Curious about which brands are leading the AI race? 🏃♂️💨 Or why building your data foundation now is critical for future growth? We’ve got the answers in our blog. 👉 Read the full blog for expert insights, real-world examples, and what your business needs to stay ahead https://lnkd.in/esrJ7sDG #AI #BigData #DataStrategy #Team #GenerativeAI #BigDataLDN
BigData LDN (London) September 2024 - Our Top Ten Takeaways
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Data Science Briefing #260 - https://lnkd.in/gDEiag5 A weekly newsletter with the latest news and developments in #DataScience, #MachineLearning and #AI. Publishes on Wednesday. Subscribe here: https://lnkd.in/euPQp4w and never miss an update! #NN #BigData #DeepLearning
Data Science Briefing #260
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The latest issue is out!
Data Science Briefing #260 - https://lnkd.in/gDEiag5 A weekly newsletter with the latest news and developments in #DataScience, #MachineLearning and #AI. Publishes on Wednesday. Subscribe here: https://lnkd.in/euPQp4w and never miss an update! #NN #BigData #DeepLearning
Data Science Briefing #260
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LLMs Pitfalls An introduction to some of the key components surrounding LLMs to produce production-grade applicationsContinue reading on Towards Data Science »... https://lnkd.in/e5fRKW4M #AI #ML #Automation
LLMs Pitfalls
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To Know Is Also to Remember Understanding Long Short-Term Memory NetworksContinue reading on Towards Data Science »... https://lnkd.in/eB6H3Ees #AI #ML #Automation
To Know Is Also to Remember
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Data Science Briefing #261 - https://lnkd.in/gDEiag5 A weekly newsletter with the latest news and developments in #DataScience, #MachineLearning and #AI. Publishes on Wednesday. Subscribe here: https://lnkd.in/euPQp4w and never miss an update! #NN #BigData #DeepLearning
Data Science Briefing #261
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Join me at The Data Science Conference in Chicago on May 23-24! I will lead a conversation about: ❓How Subject Matter Experts can integrate into AI implementations by contributing their know-how to define objects that can be used by the LLMs or by agents, selecting the right datasets for the right job and improving the quality of datasets. We will discuss examples in capital markets 🤔Why would SMEs “buy-into” AI implementations. Will AI take their job away? 💰How SMEs bring value to your AI implementation and save you time and headaches. #ai #ml #capitalmarkets #agents #llm Agenda:
The Data Science Conference | Chicago | 27-28 Oct. 2022
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How to Create an RFM Model in BigQuery Learn what an RFM model is, how to create one, and how to segment on the resultsContinue reading on Towards Data Science »... https://lnkd.in/e5QDtHZE #AI #ML #Automation
How to Create an RFM Model in BigQuery
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Torch Compile: 2x Faster Llama 3.2 with Low Effort But it will depend on your GPUContinue reading on Towards Data Science »... https://lnkd.in/eDmYv44e #AI #ML #Automation
Torch Compile: 2x Faster Llama 3.2 with Low Effort
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How to Tune the Perfect Smoother Get the most out of your data with Whittaker-Eilers smoothing and leave-one-out cross validationContinue reading on Towards Data Science »... https://lnkd.in/eCKvVkDb #AI #ML #Automation
How to Tune the Perfect Smoother
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Digital Experience & Engagement Marketing Lead at Appius
2moGreat insights to get the lay of the land - particularly Number 9 as advice!